C. Cause and .. Mesure, Hasard(44) SECTION II, Néces- sité(41), Éventualité Probabilité(43) Mé- thode(50), Système(51), Règle(52), Norme(53) Commen- cement(56), Milieu Postériorité Continuité Disconti- nuité(62), Rang, p.Série Gradation Inclusion Exclusion

Q. Quantité, Répétition Adjonction, Pluralité Multitude(75) Complexité(77), Abondance(78), Paucité Manque Sa- tiété(82), Égalité(83), Inégalité Supériorité(85), Infériorité Augmenta- tion Diminution(89), Réunion(90), Séparation(91), Intégration(92) Pro- portion(94), Fraction(95), Reste(96) Mélange(98)

F. Forme, Géométrie(146) 4, Courbure Cercle(145) Ligne(148) Pointe Bosse Creux, p.Grain

. Les-fonctions-vitales, Excrétion(339), Digestion(338) Sexualité, pp.Immu- nité

. La-vision, . Le, and . Vision, Obscu- rité(351, Visibilité(348), Invisibilité(349), Lumière(350) Couleur Blanc(353), Noir(354), p.Bleu

L. Toucher-toucher374, . Section-iv, and . Le, La santé, l'hygiène et les maladies Vigueur, Faiblesse(376), Veille Propreté Sa- leté(381) Maladie Malformation Empoisonnement(389), p.Tumeur

. La-médecine-et-les-soins-du-corps-médecine, Diététique(395) SECTION V. L'ESPRIT 1. L'intelligence et la mémoire, Soins du corps Médicaments(394) Sottise(397), Entendement(398) Mémoire Ou- bli(401), Attention(402), Inattention(403), Imagination Curiosité(405), Finesse

L. Jugement, . Les, and . Jugement, Surestima- tion(432), Sous-estimation(433) Qualité, Incertitude(431) Médiocrité Laideur(437), Importance(438), Insignifiance(439) SECTION VI. L'AFFECTIVITÉ 1. Les caractères Sensibilité Pessimisme(443), Entrain Calme(448), pp.Pa- resse Patience Impatience Folie

J. Les, Satisfac- tion(469) Insatisfaction, Tristesse Déplaisir(468) Colère Peur Soulagement(473), Espoir Déses- poir(475) SECTION VII. LA VIE SPIRITUELLE 1. La pensée religieuse et philosiphique Religion Théologie Foi(479), p.Philosophie

S. Viii, Décision et indécision Volonté, Courage(508), Lâcheté Irrésolution Persévé- rance(512), Défection(513), p.Renonciation

. Le-libre-arbitre, . La, and . Liberté, Prétexte(521), Ca- price(522 Dissuasion(526) SECTION IX. L'ACTION 1. L'action et l'inaction, Choix(519), Refus(520) Désir Indifférence(524), Persuasion(525), p.Inaction Repos

. La-participation-participation, Aide(563), Stimulation, Conseil

C. Iii, . La, . I. Section, and . Le-rapport-a-l-'autre-1, Bonté(585), Méchan- ceté(586), Insociabilité Compagnie(583), Solitude(584) Égoïsme(588), Gratitude(589), Hospitalité Discourtoisie(593), Loyauté Promesse Délicatesse(598), pp.Trahi- son

C. Commandement and . Commandement, Autorisation, Consente- ment

. La-famille-famille, Mère(680), Filiation, Père(679) Mariage

L. Coutumes and C. , Salutations(689) SECTION V. LA MORALE 1, Funérailles(688) Devoir(691), Prescription Malhonnêteté Mérite(695), Imperfection Péché(697)

. Le-signe-et-le-sens-signe, Non-sens(733, Sens(732) Intelligibilité(734), Inintelligibi- lité(735), Ambiguïté, pp.Sous-entendu Interprétation

S. X. Les, Le travail et la production Emploi(792), Main-d oeuvre(793, Lieu de travail Salaire(795), Production, pp.Impro- duction

T. Les, Transports par route(816) Automobile(817), Transports par rail(818), Transports maritimes et fluviaux, Transports par air, p.Astronautique

. Beeferman, Text Segmentation Using Exponential Models, Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, pp.35-46, 1997.

. Beeferman, ? Statistical models for text segmentation ?, Machine Learning, pp.177-210, 1999.

&. Bestgen and . Piérard, Yves Bestgen et S. Piérard. ? Comment évaluer les algorithmes de segmentation automatiques ? Essai de construction d'un matériel de référence, 2006.

. Brants, Chen, et I. Tsochantaridis. ? Topic-based document segmentation with probalistic latent semantic analysis ?, Proceedings of CIKM, pp.211-218, 2002.

B. [. Baeza-yates and . Ribeiro-neto, Modern Information retrieval, 1999.

&. Celeux, ]. G. Govaert, G. Celeux, and . Govaert, ? A classification EM algorithm for clustering and two stochastic versions. ?. , Inria, 1991.

]. D. Celeux and G. Diebolt, ? The sem algorithm : a probabilistic teacher algorithm derived from the em algorithm for the mixture problem. ?, Computational Statistics Quarterly, pp.73-82, 1985.

&. Chauché and . Prince, Jacques Chauché et Violaine Prince. ? Classifying texts through natural language parsing and semantic filtering, Proceedings of LTC'03, 2007.

Y. Y. Fred and . Choi, Advances in domain independent linear text segmentation. ?. Proceeding of NAACL-00, pp.26-33, 2000.

Y. Y. Fred, P. Choi, E. J. Wiemer-hastings, and . Moore, ? Latent Semantic Analysis for Text Segmentation ?, Proceedings of EMNLP, pp.109-117, 2001.

. Deerwester, Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.391-407, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

. Dempster, ? Maximum likelihood from incomplete data via the em algorithm (with discussion ). ?, Journal of the Royal Statistical Society, pp.1-38, 1977.

R. Stephen, . Garner, and . Weka, The Waikato Environment for Knowledge Analysis ?, pp.57-64, 1995.

&. Grosz and . Sidner, Grosz et Candace L. Sidner. ? Attention, Intentions , And The Structure Of Discourse ?, 2002.

A. Marti and . Hearst, ? TextTiling : A quantitative approach to discourse segmentation ?, 1993.

]. J. Helfman, ? Similarity Patterns in Language ?. Visual Languages, pp.173-175, 1994.

M. Hurault-plantet, M. Jardino, and J. Berthelin, ? Ajustement des frontières de segments thématiques détectés automatiquement ?, 2006.

R. Jakobson, Essai de linguistique générale, 1963.

&. Ji, ]. X. Zha, H. Ji, and . Zha, ? Domain-independant segmentation using anisotropic diffusion and dynamic programming ?, Proceedings of ACM/SIGIR Conference of Research and Developpement in Information Retrieval, 2003.
DOI : 10.1145/860492.860494

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.3287

]. D. Karatzas, Text Segmentation in Web Images Using Color Perception and Topological Features, 2003.

S. Kaufmann, Cohesion and collocation, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -, pp.591-595, 1999.
DOI : 10.3115/1034678.1034686

H. Kozima, Text segmentation based on similarity between words, Proceedings of the 31st annual meeting on Association for Computational Linguistics -, pp.286-288, 1993.
DOI : 10.3115/981574.981616

&. Labadié, ]. A. Chauché, J. Labadié, and . Chauché, ? Segmentation thématique par calcul de distance sémantique ?, pp.45-59, 2006.

&. Labadié, ]. A. Prince, V. Labadié, and . Prince, Comparaison de méthodes lexicales et syntaxico-sémantiques dans la segmentation thématique de texte non supervisée ?, 2008.

&. Labadié and . Prince, Labadié et V. Prince. ? Finding text boundaries and finding topic boundaries : two different task ? ?, Proceedings of GoTAL, 2008.

&. Labadié and . Prince, Labadié et V. Prince. ? Intended boundaries detection in topic change tracking for text segmentation ?. Proceeding of NLPCS, 2008.

&. Labadié and . Prince, Alexandre Labadié et Violaine Prince. ? The impact of corpus quality and type on topic based text segmentation evaluation ?, 2008.

. Lamprier, Bernard Levrat, et Frederic Saubion. ? SegGen : a Genetic Algorithm for Linear Text Segmentation ?, Proceedings of IJCAI'07, 2007.

. Lamprier, et Frederic Saubion. ? Using an Evolving Thematic Clustering in a Text Segmentation Process ?, pp.178-192, 2008.

&. Landauer, ]. T. Dumais, S. Landauer, and . Dumais, A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge., Psychological Review, vol.104, issue.2, pp.211-240, 1997.
DOI : 10.1037/0033-295X.104.2.211

. Landauer, Laham. ? An introduction to Latent Semantic Analysis ?, Discourse Processes, pp.259-284, 1998.

. Larousse, Thésaurus Larousse -des idées aux mots, des mots aux idées, 1992.

&. Mann, ]. W. Thompson, S. A. Mann, and . Thompson, ? Rhetorical Structure Theory : A Theory of Text Organization. ?. ISI/RS-87-190, 1987.

&. Mcdonald, . Chen, H. Mcdonald, and . Chen, Using sentence-selection heuristics to rank text segments in TXTRACTOR, Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries , JCDL '02, pp.28-35, 2002.
DOI : 10.1145/544220.544226

&. Palmer, . Hearst, D. David, M. A. Palmer, and . Hearst, Adaptive multilingual sentence boundary disambiguation ?. Computational Linguistics, pp.241-267, 1997.

&. Passonneau, ]. R. Litman, D. J. Passonneau, and . Litman, ? Intention-based segmentation : Humanreliability and correlation with linguistic cues ?, Proceedings of the 31st Annual Meeting of theAssociation for Computational Linguistics, pp.148-155, 1993.

&. Pelleg, ]. D. Moore, A. W. Pelleg, and . Moore, ? X-means : Extending K-means with Efficient Estimation of the Number of Clusters ?, les actes de Seventeenth International Conference on Machine Learning, pp.727-734, 2000.

&. Pevzner and . Hearst, Lev Pevzner et Marti Hearst. ? A Critique and Improvement of anEvaluation Metric for Text Segmentation ?, Computational Linguistics, pp.113-125, 2002.

&. Prince and . Labadié, Prince et A. Labadié. ? Text Segmentation Based on Document Understanding for Information Retrieval, Proceedings of NLDB'07, pp.295-304, 2007.

C. Jeffrey and . Reynar, ? Topic Segmentation : Algorithms and Applications, 1998.

C. Jeffrey and . Reynar, ? Statistical Models for Topic Segmentation ?, 2002.

. P. Roget and . Roget, Thesaurus of English Words and Phrases, p.1852
DOI : 10.1017/CBO9781107448735

&. Salton, M. E. Lesk-]-gerard-salton, and . Lesk, ? The SMART automatic document retrieval systems?an illustration ?, Communications of the ACM, pp.391-398, 1965.

. Salton, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975.
DOI : 10.1145/361219.361220

H. Schmid, ? Probabilistic Part-of-Speech Tagging Using Decision Trees ?, 1994.

&. Sitbon and . Bellot, Laurianne Sitbon et Patrice Bellot. ? Evaluation de méthodes de segmentation thématique linéaire non supervisés aprés adaptation au français ?, 2004.

. Stokes, ? SeLeCT : A Lexical Cohesion Based News Story Segmentation System ?, 2004.

&. Utiyama and . Isahara, Utiyama et H Isahara. ? A statistical model for domainindependent text segmentation ?, ACL, pp.491-498, 2001.

&. Wu, ]. Z. Tseng, G. Wu, and . Tseng, Chinese text segmentation for text retrieval: Achievements and problems, Journal of the American Society for Information Science, vol.44, issue.9, pp.532-542, 1993.
DOI : 10.1002/(SICI)1097-4571(199310)44:9<532::AID-ASI3>3.0.CO;2-M

&. Yang, ]. C. Li, K. W. Yang, and . Li, A heuristic method based on a statistical approach for Chinese text segmentation, Journal of the American Society for Information Science and Technology, vol.5, issue.13, 2005.
DOI : 10.1002/asi.20237