, Bibliography

A. Daniel, A. Chris, W. David, S. Aliaksei, P. Alessandro et al., Globally Normalized Transition-Based Neural Networks, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016.

G. Berlin, , pp.2442-2452

A. Mikel, L. Gorka, and A. Eneko, Learning bilingual word embeddings with (almost) no bilingual data, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp.451-462, 2017.

B. Miguel and N. Joakim, Going to the Roots of Dependency Parsing, pp.5-13, 2013.

B. Miguel, D. Chris, A. Noah, and . Smith, Improved Transitionbased Parsing by Modeling Characters instead of Words with LSTMs, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.349-359, 2015.

B. Miguel, G. Yoav, D. Chris, A. Noah, and . Smith, Training with Exploration Improves a Greedy Stack LSTM Parser URL: https://aclweb, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp.2005-2010, 2016.

B. Carmen, M. Rada, W. Janyce, and H. Samer, Multilingual Subjectivity Analysis Using Machine Translation, Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pp.127-135, 2008.

B. Éléonor, L. Margot, L. Matthieu, A. Alexandre, W. Guillaume et al., Adaptation au domaine pour l'analyse morpho-syntaxique, Actes de la 24e conférence sur le Traitement Automatique des Langues Naturelles, pp.134-141, 2016.

B. Shai, B. John, C. Koby, P. P. Fernando, J. C. Sch¨olkopfsch¨-sch¨olkopf et al., Analysis of Representations for Domain Adaptation, Advances in Neural Information Processing Systems 19, pp.137-144, 2007.

E. M. Bender, Linguistically Nä ive != Language Independent: Why NLP Needs Linguistic Typology, Proceedings of the EACL 2009 Workshop on the Interaction between Linguistics and Computational Linguistics: Virtuous, Vicious or Vacuous, 2009.
DOI : 10.3115/1642038.1642044
URL : http://dl.acm.org/ft_gateway.cfm?id=1642044&type=pdf

G. Athens, , pp.26-32

E. M. Bender, F. Dan, O. Stephan, and Z. Yi, Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus, 2011.

S. Edinburgh and U. , Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.397-408

B. Taylor and K. Dan, Phylogenetic Grammar Induction, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.1288-1297, 2010.

, URL: http://www.aclweb.org/anthology, pp.10-1131

B. Taylor, A. Bouchard-côté, D. John, and K. Dan, Painless Unsupervised Learning with Features, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.582-590, 2010.

B. Luca, J. F. Henriques, V. Jack, T. Philip, V. D. Andrea et al., Learning feed-forward one-shot learners, Advances in Neural Information Processing Systems 29, pp.523-531, 2016.

B. Arianna and F. Marcello, A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena, Computational linguistics 42.2, pp.163-205, 2016.

B. Anders, . Bj¨orkelund, and N. Joakim, Non-Deterministic Oracles for Unrestricted Non-Projective Transition-Based Dependency Parsing, Proceedings of the 14th International Conference on Parsing Technologies, pp.76-86, 2015.

B. John, M. Ryan, and P. Fernando, Domain Adaptation with Structural Correspondence Learning, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp.120-128, 2006.

B. Andreea, Joint multilingual learning for coreference resolution, 2014.

B. Cristina, F. Dell-'orletta, M. Simonetta, S. Manuela, and S. Maria, The EVALITA 2014 dependency parsing task, EVALITA 2014 Evaluation of NLP and Speech Tools for Italian, pp.1-8, 2014.

, Bibliography

B. Léon, Une Approche théorique de l'Apprentissage Connexionniste: Applications à la Reconnaissance de la Parole, 1991.

F. Peter, P. V. Brown, R. L. Desouza, V. J. Mercer, . Della et al.,

J. C. Lai, Class-Based n-gram Models of Natural Language, Computational linguistics 18.4, pp.467-479, 1992.

F. Peter, V. J. Brown, S. A. Della-pietra, . Della-pietra, and L. Robert,

, The Mathematics of Statistical Machine Translation: Parameter Estimation, Computational linguistics 19, pp.263-311, 1993.

B. David, P. Slav, B. John, and K. Dan, Learning Better Monolingual Models with Unannotated Bilingual Text, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.46-54, 2010.

C. Rich, Multitask Learning, 1997.

C. Danqi and M. Christopher, A Fast and Accurate Dependency Parser using Neural Networks, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.740-750, 2014.

D. Jinho, . Choi, and P. Martha, Getting the Most out of Transitionbased Dependency Parsing, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.687-692, 2011.

C. Christos and S. Mark, A massively parallel corpus: the Bible in 100 languages, Language resources and evaluation 49.2, pp.375-395, 2015.

C. Maximin and C. Benoit, Neural Greedy Constituent Parsing with Dynamic Oracles, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp.172-182, 2016.

S. B. Cohen, D. Dipanjan, A. Noah, and . Smith, Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.50-61, 2011.

C. Reed, K. Ben, R. Dragomir, and . Radev, Classifying Syntactic Regularities for Hundreds of Languages, 2016.

C. Michael, Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms, Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp.1-8, 2002.

C. Michael and R. Brian, Incremental Parsing with the Perceptron Algorithm, Proceedings of the 42nd Meeting of the Association for Computational Linguistics, pp.111-118, 2004.

C. Ronan and W. Jason, A unified architecture for natural language processing: Deep neural networks with multitask learning, Proceedings of the 25th international conference on Machine learning, pp.160-167, 2008.

C. Lisa and G. Jeff, Morphosyntactic reduplication in Chechen and Ingush, The proceedings from the panels of the Chicago Linguistic Society's thirtysixth meeting, pp.36-38, 2000.

C. Alexandra, The Low Definite Article and the Evolution of the Romanian DP*, Generative Grammar in Geneva 9, pp.3-26, 2016.

A. Michael and . Covington, A Fundamental Algorithm for Dependency Parsing, Proceedings of the 39th annual ACM southeast conference, pp.95-102, 2001.

C. Brooke, K. Ivona, . Cerová, and C. Michael, A Discriminative Model for Tree-to-Tree Translation, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp.232-241, 2006.

C. Koby, D. Mark, and K. Alex, Multi-Class Confidence Weighted Algorithms, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics, pp.496-504, 2009.

C. William, Typology and universals, 2002.

C. Anna, K. Alina, and D. Jon, Using Related Languages to Enhance Statistical Language Models, Proceedings of the NAACL Student Research Workshop, pp.116-123, 2016.

D. Dipanjan and P. Slav, Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.600-609, 2011.

D. Hal, . Iii, and M. Daniel, Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction, Proceedings of the 22nd international conference on Machine learning, pp.169-176, 2005.

, Bibliography

D. Hal, . Iii, and M. Daniel, Domain adaptation for statistical classifiers, In Journal of Artificial Intelligence Research, vol.26, pp.101-126, 2006.

D. Hal, . Iii, L. John, and M. Daniel, Search-based Structured Prediction, Machine Learning 75.3, pp.297-325, 2009.

S. Ben, D. Tyler, L. Teresa, L. Dávid, and P. , Impossibility theorems for domain adaptation, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp.129-136, 2010.

D. Ludmila, I. Nancy, P. Vladimir, E. Tomaz, H. Jaan et al., Multext-East: Parallel and Comparable Corpora and Lexicons for Six Central and Eastern European Languages, Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, pp.315-319, 1998.

G. Panã, D. Martin, and M. , The grammar of Romanian, 2013.

D. Pedro, A unified bias-variance decomposition for zero-one and squared loss, AAAI/IAAI, pp.564-569, 2000.

D. Daxiang, W. Hua, H. Wei, Y. Dianhai, and W. Haifeng, Multi-Task Learning for Multiple Language Translation, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.1723-1732, 2015.

B. J. Dorr, Machine translation divergences: A formal description and proposed solution, Computational Linguistics 20.4, pp.597-633, 1994.

D. Markus, H. Keith, K. Sanjeev, and . Naacl-hlt, Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation, Proceedings of SSST, pp.103-110, 2007.

D. Gregory, S. Burr, and M. Andrew, Active Learning by Labeling Features, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics, pp.81-90, 2009.

M. S. Dryer and H. Martin, WALS Online. Leipzig: Max Planck Institute for Evolutionary Anthropology, 2013.

D. Kevin, F. Akinori, and N. Masaaki, Is Machine Translation Ripe for Cross-Lingual Sentiment Classification?, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.429-433, 2011.

D. Long, C. Trevor, B. Steven, and C. Paul, A Neural Network Model for Low-Resource Universal Dependency Parsing, Proceedings of the 2015, 2015.

, Conference on Empirical Methods in Natural Language Processing, pp.339-348

D. Long, C. Trevor, B. Steven, and C. Paul, Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser, 2015.

, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.845-850

D. Greg, P. Adam, and K. Dan, Syntactic Transfer Using a Bilingual Lexicon, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.1-11, 2012.

D. Chris, C. Victor, A. Noah, and . Smith, A Simple, Fast, and Effective Reparameterization of IBM Model 2, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.644-648, 2013.

D. Chris, B. Miguel, L. Wang, M. Austin, A. Noah et al., Transition-Based Dependency Parsing with Stack Long Short-Term Memory, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.334-343, 2015.

E. Andreas, Y. Chenconference, C. Khalid, C. Bente, M. Joseph et al., MultiUN: A Multilingual Corpus from United Nation DocumentsLREC'10), Proceedings of the Seventh International Conference on Language Resources and Evaluation European Language Resources Association (ELRA). ISBN, pp.2-9517408, 2010.

E. Jason, A. Noah, and . Smith, Parsing with Soft and Hard Constraints on Dependency Length, Proceedings of the Ninth International Workshop on Parsing Technology, pp.30-41, 2005.

E. Akiko, H. Kazuma, and T. Yoshimasa, , 2016.

, Sequence Attentional Neural Machine Translation, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics

G. Berlin, , pp.823-833

, Bibliography

T. Erjavecconference, C. Khalid, C. Bente, M. Joseph, M. Jan et al., MULTEXT-East Version 4: Multilingual Morphosyntactic Specifications, Lexicons and CorporaLREC'10), Proceedings of the Seventh International Conference on Language Resources and Evaluation European Language Resources Association (ELRA). ISBN, pp.2-9517408, 2010.

E. Nicholas, C. Stephen, and . Levinson, The myth of language universals: Language diversity and its importance for cognitive science, Behavioral and brain sciences 32.05, pp.429-448, 2009.

L. Daniel and . Everett, Pirahã In Handbook of Amazonian languages, pp.200-325, 1986.

F. Anna, Portable language technology: a resource-light approach to morpho-syntactic tagging, 2006.

A. Moreo, F. Andrea, E. Fabrizio, and S. , Distributional correspondence indexing for cross-lingual and cross-domain sentiment classification, Journal of artificial intelligence research 55, pp.131-163, 2015.

F. Daniel and G. Carlos, Improving Transition-Based Dependency Parsing with Buffer Transitions, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.308-319, 2012.

F. Orhan, C. Kyunghyun, and B. Yoshua, Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.866-875, 2016.

F. Orhan, S. Baskaran, A. Yaser, F. T. Yarman, . Vural et al., Zero-Resource Translation with Multi-Lingual Neural Machine Translation URL: https://aclweb, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp.268-277, 2016.

F. Victoria and A. Steven, Automatically inducing a part-of-speech tagger by projecting from multiple source languages across aligned corpora, Lecture notes in computer science 3651, p.862, 2005.

F. Alexander and M. Daniel, Measuring word alignment quality for statistical machine translation, Computational Linguistics 33.3, pp.293-303, 2007.

F. Lyn, On Comprehending Sentences: Syntactic Parsing Strategies, 1979.

F. Yoav, E. Robert, and . Schapire, Large margin classification using the perceptron algorithm, Machine learning 37.3, pp.277-296, 1999.

G. João and B. Pavel, Cascade generalization, Machine learning 41.3, pp.315-343, 2000.

G. Kuzman, G. Jennifer, and T. Ben, Dependency Grammar Induction via Bitext Projection Constraints, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Suntec, pp.369-377, 2009.

G. Dan and B. Jason, Learning a Part-of-Speech Tagger from Two Hours of Annotation, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.138-147, 2013.

G. Ryan, X. Fei, and L. William, Comparing Language Similarity across Genetic and Typologically-Based Groupings, Proceedings of the 23rd International Conference on Computational Linguistics: Coling 2010 Organizing Committee, pp.385-393, 2010.

G. Ryan, X. Fei, and L. William, Measuring the Divergence of Dependency Structures Cross-Linguistically to Improve Syntactic Projection Algorithms, 2012.

C. Khalid, D. Thierry, U. Mehmet, D. ?. Gur, . Gan et al., Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12). Ed. by Nicoletta Calzolari (Conference CHAIR) European Language Resources Association (ELRA). ISBN, pp.978-980

G. Arnab, S. Pawel, and R. Steve, Multilingual training of deep neural networks, 2013 IEEE International Conference on. IEEE, pp.7319-7323, 2013.

G. Kevin, A. Noah, and . Smith, Phrase dependency machine translation with quasi-synchronous tree-to-tree features, Computational Linguistics 40.2, pp.349-401, 2014.

G. Yoav and E. Michael, An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing, 2010.

, Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.742-750

G. Yoav and N. Joakim, A Dynamic Oracle for Arc-Eager Dependency Parsing, Proceedings of COLING 2012, p.2012, 2012.

, URL: http://www.aclweb.org/anthology, pp.959-976

, Bibliography

G. Yoav and N. Joakim, Training Deterministic Parsers with Non- Deterministic Oracles ISSN: 2307-387X. URL: https://tacl2013.cs.columbia, Transactions of the Association for Computational Linguistics 1, pp.403-414145, 2013.

G. Yoav, S. Francesco, and S. Giorgio, A Tabular Method for Dynamic Oracles in Transition-Based Parsing, Transactions of the Association for Computational Linguistics 2, pp.119-130, 2014.

G. Carlos and F. Daniel, An Efficient Dynamic Oracle for Unrestricted Non-Projective Parsing, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.256-261, 2015.

G. Carlos and N. Joakim, A Transition-Based Parser for 2-Planar Dependency Structures, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.1492-1501, 2010.

G. Carlos, A. Iago, and V. David, How Important is Syntactic Parsing Accuracy? An Empirical Evaluation on Rule-Based Sentiment Analysis, In Artificial Intelligence Review, pp.1-17, 2017.

G. Jeff, Clause combining in Chechen, Studies in Language. International Journal sponsored by the Foundation 'Foundations of Language' 27.1, pp.113-170, 2003.

G. Stephan, B. Yoshua, and C. Greg, Bilbowa: Fast bilingual distributed representations without word alignments, Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pp.748-756, 2015.

J. H. Greenberg, Some universals of grammar with particular reference to the order of meaningful elements, Universals of language 2, pp.73-113, 1963.

G. Jiang, C. Wanxiang, Y. David, W. Haifeng, and L. Ting, , 2015.

, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.1234-1244

, URL: http://www.aclweb.org/anthology, pp.15-1119

G. Jiang, C. Wanxiang, Y. David, W. Haifeng, and L. Ting, A Representation Learning Framework for Multi-Source Transfer Parsing, AAAI, pp.2734-2740, 2016.

H. Thanh-le, N. Jan, and W. Alexander, Toward multilingual neural machine translation with universal encoder and decoder, arXiv preprint, 2016.

H. Jirka, F. Anna, B. Chris, and A. Luiz, Tagging Portuguese with a Spanish tagger using cognates, Proceedings of the International Workshop on Cross-Language Knowledge Induction, pp.33-40, 2006.

A. C. Harris and C. Lyle, Historical syntax in cross-linguistic perspective, 1995.
DOI : 10.1017/CBO9780511620553

H. Martin, M. S. Dryer, G. David, and C. Bernard, The World Atlas of Language Structures, 2005.

H. Martin, Transition-Based Parsing with Confidence-Weighted Classification, Proceedings of the ACL 2010 Student Research Workshop, pp.55-60, 2010.

J. A. Hawkins, Word order universals: Quantitative analyses of linguistic struc- ture, 1983.

J. A. Hawkins, A performance theory of order and constituency, 1994.
DOI : 10.1017/CBO9780511554285

H. James, Discriminative Training of a Neural Network Statistical Parser, Proceedings of the 42nd Meeting of the Association for Computational Linguistics, pp.95-102, 2004.

K. Moritz, H. Phil, and B. , A Simple Model for Learning Multilingual Compositional Semantics, arXiv preprint, 2013.

H. Tin, B. Mitra, and L. Martin, Measures of geometrical complexity in classification problems, Data complexity in pattern recognition, pp.1-23, 2006.

T. Kam, H. Mitra, and B. , Measuring the complexity of classification problems, Pattern Recognition Proceedings. 15th International Conference on, 2000.

H. Maria and A. Lars, A gold standard for English? Swedish word alignment, Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA, pp.106-113, 2011.

H. Matthew and J. Mark, An Improved Non-monotonic Transition System for Dependency Parsing, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.1373-1378, 2015.

H. Matthew, G. Yoav, and J. Mark, A Non-Monotonic Arc-Eager Transition System for Dependency Parsing, Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pp.163-172, 2013.

, Bibliography

H. Jui-ting, L. Jinyu, Y. Dong, D. Li, and G. Yifan, Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers, Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE, pp.7304-7308, 2013.

H. Kejun, G. Matt, P. Evangelos, F. Christos, S. Nikos et al., Translation Invariant Word Embeddings, Proceedings of the 2015, 2015.

, Conference on Empirical Methods in Natural Language Processing, pp.1084-1088

H. Liang and S. Kenji, Dynamic Programming for Linear-Time Incremental Parsing, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.1077-1086, 2010.

H. Liang, F. Suphan, and G. Yang, Structured Perceptron with Inexact Search, Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.142-151, 2012.

H. Rebecca, R. Philip, W. Amy, and K. Okan, Evaluating Translational Correspondence using Annotation Projection, Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, pp.392-399, 2002.

H. Rebecca, R. Philip, W. Amy, C. Clara, and K. Okan, Bootstrapping parsers via syntactic projection across parallel texts, Natural language engineering 11.03, pp.311-325, 2005.

J. Richard and N. Pierre, Investigating Multilingual Dependency ParsingCoNLL-X), Proceedings of the Tenth Conference on Computational Natural Language Learning, pp.206-210, 2006.

J. Melvin, S. Mike, L. Quoc, K. Maxim, W. Yonghui et al., Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation URL: https, Transactions of the Association for Computational Linguistics 5, pp.339-351, 2017.

K. David, P. Jonathan, and C. Susan, PanLex: Building a Resource for Panlingual Lexical Translation, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). Ed. by Nicoletta Calzolari (Conference CHAIR) European Language Resources Association (ELRA), 2014.

K. Cenk and A. Ethem, MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data, Proceedings of the Seventeenth International Conference on Machine Learning, pp.455-462, 2000.

K. Alexandre, T. Ivan, and B. Binod, Inducing Crosslingual Distributed Representations of Words, Proceedings of COLING 2012 The COLING 2012 Organizing Committee, pp.1459-1474, 2012.

, URL: http://www.aclweb.org/anthology, pp.12-1089

K. Philipp, Europarl: A parallel corpus for statistical machine translation, 2005.

, In MT summit, vol.5, pp.79-86

K. Arne, . Ohn, and M. Wolfgang, Incremental Predictive Parsing with TurboParser Short Papers), Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pp.803-808, 2014.

K. Grzegorz, M. Daniel, and K. Kevin, Cognates Can Improve Statistical Translation Models, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003?short papers, pp.46-48, 2003.

K. Mikhail and T. Ivan, Cross-lingual Model Transfer Using Feature Representation Projection Short Papers), Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pp.579-585, 2014.

K. Miroslav and M. Stan, Addressing the curse of imbalanced training sets: one-sided selection, In ICML, vol.97, pp.179-186, 1997.

K. Marco, G. Carlos, and S. Giorgio, Dynamic Programming Algorithms for Transition-Based Dependency Parsers, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.673-682, 2011.

K. Shankar and B. William, Local Phrase Reordering Models for Statistical Machine Translation, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp.161-168, 2005.

K. Shankar, F. J. Och, and M. Wolfgang, Improving Word Alignment with Bridge Languages, Proceedings of the 2007 Joint Conference on Bibliography Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp.42-50, 2007.

I. Ludmila and . Kuncheva, Combining pattern classifiers: methods and algorithms, 2004.

L. John, M. Andrew, C. N. Fernando, and . Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, Proceedings of the 18th International Conference on Machine Learning, pp.282-289, 2001.

L. Patrik, M. Yanjun, O. Sylwia, and W. Andy, Tracking Relevant Alignment Characteristics for Machine Translation. In MT Summit XII-The twelfth Machine Translation Summit, pp.26-30, 2009.

L. Patrik, P. Simon, M. Yanjun, and W. Andy, Statistical Analysis of Alignment Characteristics for Phrase-based Machine Translation, Proceedings of the 14th European Association for Machine Translation, 2010.

L. Tomer and C. David, Multi-Task Word Alignment Triangulation for Low-Resource Languages, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1221-1226, 2015.

L. Omer, S. Anders, and G. Yoav, A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments, Proceedings of the 15th Conference of the European Chapter, pp.765-774, 2017.

W. D. Lewis and X. Fei, Automatically Identifying Computationally Relevant Typological Features, Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II, pp.685-690, 2008.

D. Miryam, . Lhoneux, and N. Joakim, Should Have, Would Have, Could Have Investigating Verb Group Representations for Parsing with Universal Dependencies, Proceedings of the Workshop on Multilingual and Cross-lingual Methods in NLP, pp.10-19, 2016.

D. Miryam, . Lhoneux, S. Sara, and N. Joakim, Old School vs. New School: Comparing Transition-Based Parsers with and without Neural Network Enhancement, TLT, pp.99-110, 2017.

L. Jiwei, C. Xinlei, H. Eduard, and J. Dan, Visualizing and Understanding Neural Models in NLP, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.681-691, 2016.

L. Ling, S. Yaser, and . Abu-mostafa, Data Complexity in Machine Learning, 2006.

L. Zhenghua, Z. Min, and C. Wenliang, Soft Cross-lingual Syntax Projection for Dependency Parsing, Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp.783-793, 2014.

L. Adam, Translation as Weighted Deduction, Proceedings of the 12th Conference of the European Chapter, pp.532-540, 2009.

L. Adam and R. Philip, Word-Based Alignment, Phrase-Based Translation: What's the Link, Proceedings of the 7th Conference of the Association for Machine Translation in the Americas, pp.90-99, 2006.

L. Bin, T. Chenhao, C. Claire, K. Benjamin, and . Tsou, Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.320-330, 2011.

L. Minh-thang, Q. V. Le, S. Ilya, V. Oriol, and K. Lukasz, Multi-task Sequence to Sequence Learning, International Conference on Learning Representations (ICLR), 2016.

L. Teresa, C. Ozlem, F. Jennifer, E. Uí, D. Mark et al., Irish Treebanking and Parsing: A Preliminary Evaluation, Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12). Ed. by Nicoletta Calzolari (Conference CHAIR), 2012.

M. Bente, M. Joseph, M. Asuncion, O. Jan, and P. Stelios, European Language Resources Association (ELRA)

M. Xuezhe and X. Fei, Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pp.1337-1348, 2014.

M. Yanjun, S. Nicolas, and W. Andy, Bootstrapping Word Alignment via Word Packing, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp.304-311, 2007.

M. Christopher, Part-of-speech tagging from 97% to 100%: is it time for some linguistics?, Computational Linguistics and Intelligent Text Processing, pp.171-189, 2011.

B. David, M. Cek, and S. Milan, Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp.281-290, 2013.

, URL: http://www.aclweb.org/anthology, pp.13-1028

M. Héctor, . Alonso, S. Djamé, . Benô, and . Sagot, From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario, Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), 2016.

J. Osaka, The COLING 2016 Organizing Committee, pp.13-23

M. Héctor, ?. Alonso, A. Zeljko, . Agi´c, P. Barbara et al., Parsing Universal Dependencies without training, Proceedings of the 15th Conference of the European Chapter, 2017.

F. T. André and . Martins, Transferring Coreference Resolvers with Posterior Regularization, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.1427-1437, 2015.

M. Thomas, C. Michael, C. Khalid, D. Thierry, L. Hrafn et al., Creating a Massively Parallel Bible Corpus, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14 European Language Resources Association (ELRA). ISBN, pp.978-980, 2014.

M. David, C. Eugene, and J. Mark, Effective Self- Training for Parsing, Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pp.152-159, 2006.

M. Ryan and N. Joakim, Characterizing the Errors of Data-Driven Dependency Parsing Models, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp.122-131, 2007.

M. Ryan, P. Fernando, and R. Kiril, Non- Projective Dependency Parsing using Spanning Tree Algorithms, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp.523-530, 2005.

M. Ryan, P. Slav, and H. Keith, Multi-Source Transfer of Delexicalized Dependency Parsers, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.62-72, 2011.

M. Ryan, N. Joakim, Q. Yvonne, G. Yoav, D. Dipanjan et al., Universal Dependency Annotation for Multilingual Parsing, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, p.92, 2013.

, URL: http://www.aclweb.org/anthology, pp.13-2017

M. Avihai and C. Koby, Confidence in Structured-Prediction Using Confidence-Weighted Models, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.971-981, 2010.

M. Tomas, Q. V. Le, and S. Ilya, Exploiting Similarities among Languages for Machine Translation, arXiv preprint, 2013.

G. A. Miller, WordNet: a lexical database for English, Communications of the ACM, vol.38, issue.11, pp.39-41, 1995.
DOI : 10.1145/219717.219748

S. Abolghasem, M. Alexis, and N. , Active Learning for Dependency Parsing Using Partially Annotated Sentences, Proceedings of the 12th International Conference on Parsing Technologies, pp.140-149, 2011.

V. Barbu, M. Radu, and I. , Cross-Language Transfer Of Syntactic Relations Using Parallel Corpora, Cross-Language Knowledge Induction Workshop, 2005.

C. Robert and . Moore, A Discriminative Framework for Bilingual Word Alignment, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp.81-88, 2005.

N. Preslav and N. Tou, Improving statistical machine translation for a resource-poor language using related resource-rich languages, In Journal of Artificial Intelligence Research, vol.44, pp.179-222, 2012.

N. Tahira, B. Regina, and G. Amir, Selective Sharing for Multilingual Dependency Parsing Long Papers), Proceedings of the 50th Annual Meeting Bibliography of the Association for Computational Linguistics, pp.629-637, 2012.

N. Vincent, D. Sajib, &. S. Niaz, and A. , Examining the Role of Linguistic Knowledge Sources in the Automatic Identification and Classification of Reviews, Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 2006.

A. Sydney, URL: http://www.aclweb.org/anthology, pp.611-618

N. Joakim, An Efficient Algorithm for Projective Dependency Parsing, Proceedings of the 8th International Workshop on Parsing Technologies. IWPT 2003, 2003.

N. Joakim, K. Frank, C. Stephen, C. Matthew, and S. Mark, Incrementality in Deterministic Dependency Parsing Bringing Engineering and Cognition Together, Proceedings of the ACL Workshop Incremental Parsing, pp.50-57, 2004.

, Non-Projective Dependency Parsing in Expected Linear Time, Joakim NIVRE, 2009.

, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Suntec, pp.351-359

N. Joakim and F. Chiao-ting, Universal Dependency Evaluation, Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 2017.

S. Gothenburg, , pp.86-95

N. Joakim and F. Daniel, Arc-eager parsing with the tree constraint, Computational linguistics 40.2, pp.259-267, 2014.

N. Joakim and M. Ryan, Integrating Graph-Based and Transition- Based Dependency Parsers, Proceedings of ACL-08: HLT. Columbus, Ohio: Association for Computational Linguistics, pp.950-958, 2008.

N. Joakim and N. Jens, Pseudo-Projective Dependency Parsing, Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05, pp.99-106, 2005.

N. Joakim, H. Johan, and N. Jens, MaltParser: A Data-Driven Parser-Generator for Dependency Parsing, Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC'06, pp.2216-2219, 2006.

N. Joakim, R. Laura, M. Ryan, G. Carlos, and . Rodríguez, Evaluation of Dependency Parsers on Unbounded Dependencies, Proceedings of the 23rd International Conference on Computational Linguistics (Coling, 2010.

C. Beijing, , pp.833-841

N. Joakim, G. Yoav, and M. Ryan, Constrained arc-eager dependency parsing, Computational Linguistics 40.2, pp.249-527, 2014.

N. Joakim, D. Marie-catherine, . Marneffe, G. Filip, G. Yoav et al., Universal Dependencies v1: A Multilingual Treebank Collection, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Ed. by Nicoletta Calzolari (Conference CHAIR), pp.978-980, 2016.

N. Joakim, ?. Zeljko, A. Agi´c, and A. Lars, , 2017.

, LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics, pp.1-1983

N. Joakim, ?. Zeljko, A. Agi´c, A. Lars, A. Lene et al.,

Z. Masayuki, A. Luma, A. Mohammed, A. Aitziber, A. Elena et al.,

B. Gosse, B. Sam, B. Aljoscha, C. Marie, C. Gauthier et al.,

C. Miriam, D. Marie-catherine, . Marneffe, D. Valeria, and . Paiva,

D. De-ilarraza, D. Kaja, D. Timothy, D. Kira, E. Marhaba et al.,

N. Alcalde, F. Jennifer, F. Cláudia, G. Katarína, and . Sová,

G. Daniel, G. Marcos, G. Filip, G. Iakes, G. Koldo et al.,

L. Nizar, H. Jan, H. Jan, H. J. Linh, H. M. Kim et al.,

K. Hiroshi, K. Jenna, K. Tolga, and K. Václava,

K. Jesse, K. Natalia, K. Simon, K. Sookyoung, L. Veronika et al.,

E. Aibek, M. Michael, M. Christopher, M. Ruli, M. C?t?lina et al.,

M. Ryan, M. A. Gustavo, M. Anna, . Missil¨a, M. Verginica et al.,

M. Shunsuke, M. Bohdan, M. Kadri, M. Nina, M. Kaili et al.,

L. , E. P. Barbara, P. Martin, P. Lauma, P. Prokopis et al.,

M. Muh, S. Natalia, S. Maria, S. Radu, S. Katalin et al.,

T. Takaaki, T. Trond, T. Anna, T. Reut, T. Francis et al.,

I. Zhuoran, Y. Zden?kzden?k?zden?k?abokrtský, Z. Daniel, and Z. Hanzhi, Universal Dependencies 2.0 ? CoNLL 2017 Shared Task Development and Test Data. LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics, pp.1-2184, 2017.

F. Josef, O. Hermann, and N. , A comparison of alignment models for statistical machine translation, Proceedings of the 18th conference on Computational linguistics, pp.1086-1090, 2000.

F. Josef, O. Hermann, and N. , A systematic comparison of various statistical alignment models, Computational linguistics 29.1, pp.19-51, 2003.

R. Robert¨ostling, Word Order Typology through Multilingual Word Alignment Short Papers), Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.205-211, 2015.

P. Nikolaos and P. Andrei, Multilingual Hierarchical Attention Networks for Document Classification, Proceedings of the Eighth International Joint Conference on Natural Language Processing: Asian Federation of Natural Language Processing, pp.1015-1025, 2017.

P. Judea, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 1988.

P. Nicolas, A. Alexandre, L. Thomas, and G. Wisqu, on ne sait pas : une étude sur les contraintes de type dans les modèles CRF, Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles, pp.37-48

P. Cenel-augusto, Linguistic Resources for Natural Language Processing, Al. I. Cuza University, 2014.

P. Slav, D. Dipanjan, M. Ryan, C. Khalid, D. Thierry et al., A Universal Part-of-Speech TagsetLREC'12), Proceedings of the Eight International Conference on Language Resources and Evaluation European Language Resources Association (ELRA). ISBN, pp.978-980, 2012.

S. Orlinov and P. , Coarse-to-Fine Natural Language Processing, 2009.

P. Emily and M. Ryan, A Linear-Time Transition System for Crossing Interval Trees, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.662-671, 2015.

, URL: http://www.aclweb.org/anthology, pp.15-1068

P. Barbara, V. Gertjan, and . Noord, Effective Measures of Domain Similarity for Parsing, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.1566-1576, 2011.

P. Barbara, M. Héctor, ?. Alonso, A. Zeljko, and . Agi´c,

S. Anders, Do dependency parsing metrics correlate with human judgments?, Proceedings of the Nineteenth Conference on Computational Natural Language Learning, p.315, 2015.

, URL: http://www.aclweb.org/anthology, pp.15-1033

P. Martin, M. David, . Cek, G. Nathan, and Z. Zdenek, Influence of Parser Choice on Dependency-Based MT, Proceedings of the Sixth Workshop on Statistical Machine Translation, pp.433-439, 2011.

P. Peter and S. Benno, Cross-Language Text Classification Using Structural Correspondence Learning, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.1118-1127, 2010.

, Bibliography

P. Peter and S. Benno, Cross-lingual adaptation using structural correspondence learning, ACM Transactions on Intelligent Systems and Technology (TIST) 3.1, p.13, 2011.

B. Ricardo, . Prudêncio, and C. Carlos, Cost-sensitive measures of instance hardness, First International Workshop on Learning over Multiple Contexts in ECML 2014, 2014.

Q. Peng, D. Christopher, and . Manning, Arc-swift: A Novel Transition System for Dependency Parsing, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp.110-117, 2017.

R. Loganathan, M. David, . Cek, and . Zden?kzden?k?zden?k?abokrtsk?, Multilingual Dependency Parsing: Using Machine Translated Texts Instead of Parallel Corpora, The Prague Bulletin of Mathematical Linguistics 102.1, pp.93-104, 2014.
DOI : 4709932432

R. Loganathan, . Zden?kzden?k?zden?k?abokrtský, C. Khalid, D. Thierry, U. Mehmet et al., Prague Dependency Style Treebank for Tamil, Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12) European Language Resources Association (ELRA). ISBN, pp.978-980, 2012.

M. Sadegh, R. Michael, and C. , Density-Driven Cross- Lingual Transfer of Dependency Parsers, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.328-338, 2015.

M. Sadegh, R. , and J. R. Tetreault, Yara Parser: A Fast and Accurate Dependency Parser, arXiv preprint, 2015.

R. Leonardo, M. Marco, and L. Bing, An EM based training algorithm for cross-language text categorization, Web Intelligence, 2005. Proceedings, 2005.

, ACM International Conference on. IEEE, pp.529-535, 2005.

R. Laura, C. Stephen, and S. Mark, Unbounded Dependency Recovery for Parser Evaluation, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics, pp.813-821, 2009.

R. Annette, A Basic Language Technology Toolkit for Quechua, 2015.

R. Rudolf, Multi-source Cross-lingual Delexicalized Parser Transfer: Prague or Stanford?, Proceedings of the Third International Conference on Dependency Linguistics, pp.281-290, 2015.

R. Rudolf, Parsing Natural Language Sentences by Semi-supervised Methods, 2015.

R. Rudolf and Z. Zdenek, KLcpos3 -a Language Similarity Measure for Delexicalized Parser Transfer Short Papers), Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.243-249, 2015.

R. Rudolf, M. Jan, M. David, . Cek, and P. Martin,

C. Khalid, D. Thierry, L. Hrafn, M. Bente, and M. Joseph, HamleDT 2.0: Thirty Dependency Treebanks Stanfordized, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) European Language Resources Association (ELRA). ISBN, pp.978-980, 2014.

R. Sebastian, A survey of cross-lingual embedding models, arXiv preprint arXiv:1706.04902. URL, 2017.

S. Kenji and L. Alon, Parser Combination by Reparsing Companion Volume: Short Papers, Proceedings of the Human Language Technology Conference of the NAACL, pp.129-132, 2006.

S. Adam, B. Sergey, B. Matthew, W. Daan, P. Timothy et al., One-shot Learning with Memory-Augmented Neural Networks, 2016.

S. Francesco, Improvements in Transition Based Systems for Dependency Parsing, 2015.

S. Yves, S. Beno??tbeno??t, C. Khalid, D. Thierry, L. Hrafn et al., A Language-independent and fully Unsupervised Approach to Lexicon Induction and Part-of-Speech Tagging for Closely Related Languages, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). Ed. by Nicoletta Calzolari (Conference CHAIR), European Language Resources Association (ELRA). ISBN, pp.978-980, 2014.

S. Michael and S. Anders, Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages, Proceedings of Bibliography the 15th Conference of the European Chapter, pp.220-229, 2017.

S. Roy, A. Omri, and R. Ari, Learnability-Based Syntactic Annotation Design, Proceedings of COLING 2012 The COL- ING 2012 Organizing Committee, pp.2405-2422, 2012.

S. Holger and D. Matthijs, Learning Joint Multilingual Sentence Representations with Neural Machine Translation, Proceedings of the 2nd Workshop on Representation Learning for NLP, pp.157-167, 2017.

S. Djamé, T. Reut, K. Sandra, . Ubler, C. Marie et al.,

B. , Y. Goldberg, G. Spence, H. Nizar, K. Marco et al., Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages, Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, pp.146-182, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00877096

S. Yu, C. Chenhui, C. Fabien, and K. Sadao, Crosslanguage Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation, Proceedings of the First Conference on Machine Translation, pp.1-11, 2016.

, URL: http://www.aclweb.org/anthology, pp.16-2201

S. Masayoshi, The languages of Japan, 1990.

S. Hidetoshi, Improving predictive inference under covariate shift by weighting the log-likelihood function, Journal of statistical planning and inference 90.2, pp.227-244, 2000.

R. Michael, . Smith, M. Tony, and G. Christophe, An instance level analysis of data complexity, Machine learning 95.2, pp.225-256, 2014.

S. Anders, Data point selection for cross-language adaptation of dependency parsers, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.682-686, 2011.

S. Kathrin and K. Jonas, Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data, Proceedings of the Thirteenth Conference on Computational Natural Language Learning, pp.12-20, 2009.

S. Kathrin, Ø. Lilja, K. Jonas, C. Khalid, M. Bente et al., Training Parsers on Partial Trees: A Cross-language Comparison, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10). Ed. by Nicoletta Calzolari (Conference CHAIR), European Language Resources Association (ELRA). ISBN, pp.2-9517408, 2010.

S. Milan, CoNLL 2017 Shared Task -UDPipe Baseline Models and Supplementary Materials. LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics, pp.1-1990, 2017.

S. Milan and S. Jana, Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe, Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp.88-99, 2017.

S. Milan, H. Jan, S. Jana, and H. J. Jan, Parsing Universal Dependency Treebanks Using Neural Networks and Search-Based Oracle, International Workshop on Treebanks and Linguistic Theories (TLT14), pp.208-220, 2015.

S. Mihai, D. Christopher, and . Manning, Ensemble Models for Dependency Parsing: Cheap and Good? In Human Language Technologies, The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.649-652, 2010.

R. Hendy, S. Wei, and L. , Neural Architectures for Multilingual Semantic Parsing Short Papers), Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp.38-44, 2017.

S. Anders and W. Julie, An Empirical Study of Non-Lexical Extensions to Delexicalized Transfer, Proceedings of COLING 2012: Posters. Mumbai , India: The COLING 2012 Organizing Committee, pp.1181-1190, 2012.

T. Oscar and . Om, Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition, Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure, pp.55-63, 2012.

E. Khalid, C. Thierry, D. Mehmet, U. Gur, D. ?. Gan et al., European Language Resources Association (ELRA). ISBN, pp.978-980

T. Reut, A Unified Morpho-Syntactic Scheme of Stanford Dependencies, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp.578-584, 2013.

T. Yulia, Cross-Lingual Transfer of Linguistic and Metalinguistic Knowledge via Lexical Borrowing, Thesis Proposal. Georgia Institute of Technology, 2015.

M. Francis, . Tyers, A. Jacques, and . Pienaar, Extracting bilingual word pairs from Wikipedia In Collaboration: interoperability between people in the creation of language resources for less-resourced languages 19, pp.19-22, 2008.

U. Shyam, F. Manaal, D. Chris, and R. Dan, Cross-lingual Models of Word Embeddings: An Empirical Comparison, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp.1661-1670, 2016.

, URL: http://www.aclweb.org/anthology, pp.16-1157

V. Stephan, N. Hermann, and T. Christoph, HMM-Based Word Alignment in Statistical Translation, Proceedings of the 16th conference on Computational linguistics, pp.836-841, 1996.

V. Alexander, Performance-oriented dependency parsing, 2013.

V. Alexander, &. Unter, and N. , Task-oriented dependency parsing evaluation methodology, Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on. IEEE, pp.132-137, 2012.

W. Xiaojun, Co-Training for Cross-Lingual Sentiment Classification, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Suntec, pp.235-243, 2009.

W. Chuan, X. Nianwen, and P. Sameer, A Transition-based Algorithm for AMR Parsing, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.366-375, 2015.

, URL: http://www.aclweb.org/anthology, pp.15-1040

W. Dingquan and E. Jason, Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning, In Transactions of the Association for Computational Linguistics, vol.5, pp.147-161, 1060.

, Bibliography

W. Haifeng, W. Hua, and L. Zhanyi, Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs, Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pp.874-881, 2006.

W. Mengqiu, D. Christopher, and . Manning, Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning, Transactions of the Association of Computational Linguistics 2.1, pp.55-66, 2014.

W. Mengqiu, C. Wanxiang, D. Christopher, and . Manning, Effective Bilingual Constraints for Semi-Supervised Learning of Named Entity Recognizers, Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013.

W. Bin and P. Christopher, Cross Lingual Adaptation: An Experiment on Sentiment Classifications, Proceedings of the ACL 2010 Conference Short Papers, 2010.

S. Uppsala, , pp.258-262

W. David and T. Benjamin, Structured prediction cascades, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp.916-923, 2010.

W. Guillaume and L. Ophélie, A Systematic Comparison of Syntactic Representations of Dependency Parsing, Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, pp.146-152, 2017.

W. Guillaume, P. Nicolas, G. Souhir, and Y. François, Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1779-1785, 2014.

W. Alina and P. Adam, Towards a Weighted Induction Method of Dependency Annotation, International Conference on Natural Language Processing, pp.164-176, 2014.

W. Hua, W. Haifeng, and L. Zhanyi, Alignment model adaptation for domain-specific word alignment, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, pp.467-474, 2005.
DOI : 10.3115/1219840.1219898

, URL: http://www.aclweb.org/anthology, pp.5-1058

X. Chenhai and H. Rebecca, A Backoff Model for Bootstrapping Resources for Non-English Languages, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, p.851, 2005.

X. Fei and L. William, Multilingual Structural Projection across Interlinear Text In Human Language Technologies 2007: The Conference of the North American Chapter, Proceedings of the Main Conference, pp.452-459, 2007.

X. Min and G. Yuhong, Distributed Word Representation Learning for Cross-Lingual Dependency Parsing, Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pp.119-129, 2014.

Y. Kenji and K. Kevin, A Syntax-based Statistical Translation Model, Proceedings of 39th Annual Meeting of the Association for Computational Linguistics, pp.523-530, 2001.

Y. David and N. Grace, Inducing multilingual POS taggers and NP brackets via robust projection across aligned corpora, Proceedings of NAACL, 2001.

Y. David, N. Grace, and W. Richard, Inducing multilingual text analysis tools via robust projection across aligned corpora, Proceedings of the first international conference on Human language technology research, pp.1-8, 2001.

Y. Zhiwei, M. David, . Cek, . Zden?kzden?k?zden?k?abokrtský, Z. Daniel et al., If You Even Don't Have a Bit of Bible: Learning Delexicalized POS Taggers, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Ed. by Nicoletta Calzolari (Conference CHAIR), 2016.

S. Portoro?, European Language Resources Association (ELRA)

Y. Deniz, H. Aydin, and T. Zehra, SemEval-2010 Task 12: Parser Evaluation Using Textual Entailments, Proceedings of the 5th International Workshop on Semantic Evaluation, pp.51-56, 2010.

Z. Daniel and R. Philip, Cross-Language Parser Adaptation between Related Languages, Proceedings of the IJCNLP-08 Workshop on NLP for Less Privileged Languages, pp.35-42, 2008.

Z. Daniel, M. David, . Cek, Y. Zhiwei, and . Zden?kzden?k?zden?k?abokrtský, Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined, Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation, 2016.

K. Seoul, , pp.199-207

Z. Daniel, P. Martin, S. Milan, H. Jan, N. Joakim et al.,

C. Silvie, H. J. Jan, H. Jaroslava, K. Václava, U. Zdenka et al.,

L. Herman, D. Marie-catherine, . Marneffe, and S. Manuela,

S. Maria, K. Hiroshi, D. Valeria, D. Kira, M. Héctor et al.,

R. Georg, K. Tolga, A. Mohammed, E. Ali, Y. Zhuoran et al.,

S. Antonio, S. Atsuko, K. Sookyoung, M. Gustavo, L. Tatiana et al., CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp.1-19, 2017.

Z. Yuan and B. Regina, Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.1857-1867, 2015.

Z. Yuan, R. Roi, B. Regina, and G. Amir, Learning to Map into a Universal POS Tagset, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.1368-1378, 2012.

Z. Yuan, G. David, B. Regina, and J. Tommi, Ten Pairs to Tag ? Multilingual POS Tagging via Coarse Mapping between Embeddings, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1307-1317, 2016.

Z. Yue and C. Stephen, A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing, Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pp.562-571, 2008.

Z. Yue and N. Joakim, Transition-based Dependency Parsing with Rich Non-local Features, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.188-193, 2011.