Academic literature on the topic 'Modèle lexical'
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Journal articles on the topic "Modèle lexical"
Pausé, Marie-Sophie, and Dorota Sikora. "Polysémie et homonymie des locutions dans un modèle lexical." SHS Web of Conferences 27 (2016): 05012. http://dx.doi.org/10.1051/shsconf/20162705012.
Full textVERMOTE, TIMOTHEUS. "Entre système et usage en discours: nouvelles perspectives sur la localisation de l'opposition massif/comptable. Le cas des noms de fruits et de légumes." Journal of French Language Studies 24, no. 3 (August 7, 2013): 403–22. http://dx.doi.org/10.1017/s0959269513000215.
Full textCorbin, Danielle. "Les bases non autonomes en français ou comment intégrer l'exception dans un modèle lexical." Langue française 66, no. 1 (1985): 54–76. http://dx.doi.org/10.3406/lfr.1985.6345.
Full textClément, Danièle. "Le lexique en vedette : son rôle dans le modèle de Bresnan 'Lexical Functionnal Grammar'." DRLAV. Documentation et Recherche en Linguistique Allemande Vincennes 38, no. 1 (1988): 93–118. http://dx.doi.org/10.3406/drlav.1988.1066.
Full textSamain, Didier. "Technique et fiction chez Trần Đức Thảo. Qu’est-ce qu’un contexte d’activité ?" Histoire Epistémologie Langage 42, no. 2 (2020): 17–34. http://dx.doi.org/10.1051/hel/2020014.
Full textFIRMONASARI, Aprillia. "La construction des rôles énonciatifs d'ordre élocutif dans le discours politique." FRANCISOLA 4, no. 2 (April 29, 2020): 69–81. http://dx.doi.org/10.17509/francisola.v4i2.24208.
Full textLe Flem, Claude-Daniel. "La modélisation psychomécanique des systèmes temporels : le cas du russe." Revue québécoise de linguistique 20, no. 2 (May 7, 2009): 195–221. http://dx.doi.org/10.7202/602710ar.
Full textTourangeau, Rémi. "Les Pageants Historiques de Scène Comme Médium du Discours Idéologique." Theatre Research in Canada 15, no. 1 (January 1994): 21–47. http://dx.doi.org/10.3138/tric.15.1.21.
Full textLéturgie, Arnaud. "Un cas d'extragrammaticalité particulier : les amalgames lexicaux fantaisistes." Linguistica 51, no. 1 (December 31, 2011): 87–104. http://dx.doi.org/10.4312/linguistica.51.1.87-104.
Full textEstivalet, Gustavo Lopez, and Felício Wessling Margotti. "Diálogos entre a flexão verbal do Português e do Francês (Dialogues entre la flexion verbale du Portugais et du Français)." Estudos da Língua(gem) 12, no. 2 (December 30, 2014): 31. http://dx.doi.org/10.22481/el.v12i2.1252.
Full textDissertations / Theses on the topic "Modèle lexical"
Jousse, Anne-Laure. "Modèle de structuration des relations lexicales fondé sur le formalisme des fonctions lexicales." Thèse, Paris 7, 2010. http://hdl.handle.net/1866/4347.
Full textThis thesis proposes a model for structuring lexical relations, based on the concept of lexical functions (LFs) proposed in Meaning-Text Theory [Mel’cuk, 1997]. The lexical relations taken into account include semantic derivations and collocations as defined within this theoretical framework, known as Explanatory and Combinatorial Lexicology [Mel’cuk et al., 1995]. Considering the assumption that lexical relations are neither encoded nor made available in lexical databases in an entirely satisfactory manner, we assume the necessity of designing a new model for structuring them. First of all, we justify the relevance of devising a system of lexical functions rather than a simple classification. Next, we present the four perspectives developped in the system: a semantic perspective, a combinatorial one, another one targetting the parts of speech of the elements involved in a lexical relation, and, finally, a last one emphasizing which element of the relation is focused on. This system covers all LFs, even non-standard ones, for which we have proposed a normalization of the encoding. Our system has already been implemented into the DiCo relational database. We propose three further applications that can be developed from it. First, it can be used to build browsing interfaces for lexical databases such as the DiCo. It can also be directly consulted as a tool to assist lexicographers in encoding lexical relations by means of lexical functions. Finally, it constitutes a reference to compute lexicographic information which will, in future work, be implemented in order to automatically fill in some fields within the entries in lexical databases.
Thèse réalisée en cotutelle avec l'Université Paris Diderot (Paris 7)
Quang, Vu Minh. "Exploitation de la prosodie pour la segmentation et l'analyse automatique de signaux de parole." Grenoble INPG, 2007. http://www.theses.fr/2007INPG0104.
Full textThis thesis work is at the frontier between multimedia information retrieval and automatic speech processing. During the last years, a new task en speech processing: the rich transcription of an audio document. An important meta-data for rich transcription is the information on sentence type sentence of interrogative or affirmative type). The study on the prosodie differences between these two types of sentences in Vietnamese languaç detection and classification of sentence type in French language and in Vietnamese language is the main subject of this research work. Our depar1 study on French language. We've realized a system for segmentation and automatic detection of sentence type based on both prosodie and lexica information. The system has been validated on real world spontaneous speech corpus which are recording of conversations via telephone, betwee and a tourism office staff, recruiting interview, project meeting. After this first study on French, we've extended our research in Vietnamese langui language where ail studies until now on prosodie system are still preliminary. We've carried a study on the prosodie differences between interroga affirmative sentences in both production and perception levels. Next, based on these results, a classification motor has been built
Abdel, Jalil Mohamed ali. "Approche polysémique et traductologique du Coran : la sourate XXII (Al-Hajj [le pèlerinage]) comme modèle." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0348.
Full textAccording to Islamic tradition, one of the core characteristics of the Quran is that it is a polysemic text par excellence (ḥammāl dhū wujūh, bearer of several faces). To say that the Quranic text is polysemic implies that its various exegeses are as many possible readings of it, which implies in turn that its translations are also as many readings that complete each other. The accumulation of translations is thus another expression of the polysemy of the original text, even if the diversity of these translations does not match that of the exegeses.The thesis deals with the analysis of the Surah of Al-Ḥajj and it is based on two research axes:I. a study of the polysemy of the original text (Surah of Al-Ḥajj).II. A study of the polysemy of the final text (18 French translations) to show how translation reduces and/or modifies polysemy. The corpus of translations (18 translations) covers all the periods of the history of the translation of the Koran from 1647 until 2010 in order to see the evolution of the translation of the Koranic text.As a closed space that evolves independently from exegesis to more literality, the translations meet and complement each other, reflecting in their diversity with slight modification a large part of the polysemy united and concentrated in the original text but sporadic, sparse and Dispersed in the translations
Ghoul, Dhaou. "Classifications et grammaires des invariants lexicaux arabes en prévision d’un traitement informatique de cette langue. Construction d’un modèle théorique de l’arabe : la grammaire des invariants lexicaux temporels." Thesis, Paris 4, 2016. http://www.theses.fr/2016PA040184.
Full textThis thesis focuses on the classification and the treatment of Arabic lexical invariants that express a temporal aspect. Our aim is to create a diagram of grammar (finite state machine) for each invariant. In this work, we limited our treatment to 20 lexical invariants. Our assumption is that the lexical invariants are located at the same structural level (formal) as the schemes in the language quotient (skeleton) of the Arabic language. They hide much information and involve syntactic expectations that make it possible to predict the structure of the sentence.In the first part of our research tasks, we present the concept of “invariant lexical” by exposing the various levels of invariance. Then, we classify the invariants according to several criteria.The second part is the object of our own study concerning the temporal lexical invariants. We present our linguistic method as well as our approach of modelling using diagrams of grammars. Then, we analyze the simple lexical invariants such “ḥattā, baʿda” and the complexes ones such “baʿdamā, baynamā”.Finally, an experimental application “Kawâkib” was used to detect and identify the lexical invariants by showing their strong points as well as their gaps. We also propose a new vision of the next version of “Kawâkib” that can represent a teaching application of Arabic without lexicon
Desalle, Yann. "Réseaux lexicaux, métaphore, acquisition : une approche interdisciplinaire et inter-linguistique du lexique verbal." Phd thesis, Université Toulouse le Mirail - Toulouse II, 2012. http://tel.archives-ouvertes.fr/tel-00714834.
Full textMaheux, Marie-Andrée. "Description lexicale du français québécois un modèle prédictionnairique." Mémoire, Université de Sherbrooke, 1994. http://hdl.handle.net/11143/10036.
Full textRomeo, Lauren Michele. "The Structure of the lexicon in the task of the automatic acquisition of lexical information." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/325420.
Full textLa información de clase semántica de los nombres es fundamental para una amplia variedad de tareas del procesamiento del lenguaje natural (PLN), como la traducción automática, la discriminación de referentes en tareas como la detección y el seguimiento de eventos, la búsqueda de respuestas, el reconocimiento y la clasificación de nombres de entidades, la construcción y ampliación automática de ontologías, la inferencia textual, etc. Una aproximación para resolver la construcción y el mantenimiento de los léxicos de gran cobertura que alimentan los sistemas de PNL, una tarea muy costosa y lenta, es la adquisición automática de información léxica, que consiste en la inducción de una clase semántica relacionada con una palabra en concreto a partir de datos de su distribución obtenidos de un corpus. Precisamente, por esta razón, se espera que la investigación actual sobre los métodos para la producción automática de léxicos de alta calidad, con gran cantidad de información y con anotación de clase como el trabajo que aquí presentamos, tenga un gran impacto en el rendimiento de la mayoría de las aplicaciones de PNL. En esta tesis, tratamos la adquisición automática de información léxica como un problema de clasificación. Con este propósito, adoptamos métodos de aprendizaje automático para generar un modelo que represente los datos de distribución vectorial que, basados en ejemplos conocidos, permitan hacer predicciones de otras palabras desconocidas. Las principales preguntas de investigación que planteamos en esta tesis son: (i) si los datos de corpus proporcionan suficiente información para construir representaciones de palabras de forma eficiente y que resulten en decisiones de clasificación precisas y sólidas, y (ii) si la adquisición automática puede gestionar, también, los nombres polisémicos. Para hacer frente a estos problemas, realizamos una serie de validaciones empíricas sobre nombres en inglés. Nuestros resultados confirman que la información obtenida a partir de la distribución de los datos de corpus es suficiente para adquirir automáticamente clases semánticas, como lo demuestra un valor-F global promedio de 0,80 aproximadamente utilizando varios modelos de recuento de contextos y en datos de corpus de distintos tamaños. No obstante, tanto el estado de la cuestión como los experimentos que realizamos destacaron una serie de retos para este tipo de modelos, que son reducir la escasez de datos del vector y dar cuenta de la polisemia nominal en las representaciones distribucionales de las palabras. En este contexto, los modelos de word embedding (WE) mantienen la “semántica” subyacente en las ocurrencias de un nombre en los datos de corpus asignándole un vector. Con esta elección, hemos sido capaces de superar el problema de la escasez de datos, como lo demuestra un valor-F general promedio de 0,91 para las clases semánticas de nombres de sentido único, a través de una combinación de la reducción de la dimensionalidad y de números reales. Además, las representaciones de WE obtuvieron un rendimiento superior en la gestión de las ocurrencias asimétricas de cada sentido de los nombres de tipo complejo polisémicos regulares en datos de corpus. Como resultado, hemos podido clasificar directamente esos nombres en su propia clase semántica con un valor-F global promedio de 0,85. La principal aportación de esta tesis consiste en una validación empírica de diferentes representaciones de distribución utilizadas para la clasificación semántica de nombres junto con una posterior expansión del trabajo anterior, lo que se traduce en recursos léxicos y conjuntos de datos innovadores que están disponibles de forma gratuita para su descarga y uso.
Lexical semantic class information for nouns is critical for a broad variety of Natural Language Processing (NLP) tasks including, but not limited to, machine translation, discrimination of referents in tasks such as event detection and tracking, question answering, named entity recognition and classification, automatic construction and extension of ontologies, textual inference, etc. One approach to solve the costly and time-consuming manual construction and maintenance of large-coverage lexica to feed NLP systems is the Automatic Acquisition of Lexical Information, which involves the induction of a semantic class related to a particular word from distributional data gathered within a corpus. This is precisely why current research on methods for the automatic production of high- quality information-rich class-annotated lexica, such as the work presented here, is expected to have a high impact on the performance of most NLP applications. In this thesis, we address the automatic acquisition of lexical information as a classification problem. For this reason, we adopt machine learning methods to generate a model representing vectorial distributional data which, grounded on known examples, allows for the predictions of other unknown words. The main research questions we investigate in this thesis are: (i) whether corpus data provides sufficient distributional information to build efficient word representations that result in accurate and robust classification decisions and (ii) whether automatic acquisition can handle also polysemous nouns. To tackle these problems, we conducted a number of empirical validations on English nouns. Our results confirmed that the distributional information obtained from corpus data is indeed sufficient to automatically acquire lexical semantic classes, demonstrated by an average overall F1-Score of almost 0.80 using diverse count-context models and on different sized corpus data. Nonetheless, both the State of the Art and the experiments we conducted highlighted a number of challenges of this type of model such as reducing vector sparsity and accounting for nominal polysemy in distributional word representations. In this context, Word Embeddings (WE) models maintain the “semantics” underlying the occurrences of a noun in corpus data by mapping it to a feature vector. With this choice, we were able to overcome the sparse data problem, demonstrated by an average overall F1-Score of 0.91 for single-sense lexical semantic noun classes, through a combination of reduced dimensionality and “real” numbers. In addition, the WE representations obtained a higher performance in handling the asymmetrical occurrences of each sense of regular polysemous complex-type nouns in corpus data. As a result, we were able to directly classify such nouns into their own lexical-semantic class with an average overall F1-Score of 0.85. The main contribution of this dissertation consists of an empirical validation of different distributional representations used for nominal lexical semantic classification along with a subsequent expansion of previous work, which results in novel lexical resources and data sets that have been made freely available for download and use.
De, la Garza Bernardo. "Creating lexical models: do foreign language learning techniques affect lexical organization in fluent bilinguals?" Diss., Kansas State University, 2012. http://hdl.handle.net/2097/14127.
Full textDepartment of Psychology
Richard J. Harris
The use of different language learning methods for the purposes of acquiring foreign language vocabulary has long been explored but studies have often failed to take into account the potential effects on lexical processing. The current study examined the effectiveness of the Keyword, Context and Paired-Associate learning methods in acquiring foreign language vocabulary, but primarily focusing on the lexical and conceptual organization effects that each method may have on a foreign language learner. Three main theories/models (i.e., Word Association, Concept Mediated and Revised Asymmetrical Hierarchical) have been used to explain the organization of bilingual lexical, conceptual stores and connections between each store, but studies have not examined the addition of a third language (i.e., L3) and the potential connections created between new L3 and the two existing language stores. It was predicted that since low-proficiency bilinguals would create lexical models which heavily rely on translation equivalents, thus, the use of non-elaborative learning methods would assist in creating only lexical translation links, while more sophisticated elaborative methods would be successful in creating direct access to the conceptual meaning. The current study further explored the potential effects of language learning methods on comprehension ability, requiring the creation of situation models for comprehension. Finally, the present study explored the immediate and delayed effects of language learning methods on both vocabulary acquisition and comprehension ability. Results from the current study indicated that all learning methods were successful in creating and conceptual connections between the languages and the conceptual store, while Keyword learners had significantly better scores on certain trial types. Differences in terms in lexical and conceptual strength are suggested since differences in RTs and scores were found between some of the learning methods. Furthermore, in terms of comparisons across time, repeated testing learners attained better scores on all trial types in comparison to learners who were only tested at Time 2. Lastly, when assessing if lexical links could be created to a non-associated highly fluent second language known by the bilingual, results indicated that each language learning method successfully created such lexical connections, but these links were weaker in strength than those of the base language that was used during learning. Based on the current results, new models of lexical access are proposed which vary based on the use of language learning methods. The current findings also have strong implications and applications to the field of foreign language acquisition, primarily for bilingual language learners acquiring an L3.
Rivière, Laura. "Etude de l'importance relative des contraintes linguistiques et extralinguistiques conduisant à la compréhension de l'ironie." Electronic Thesis or Diss., Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0284.
Full textThe objective of this thesis was, using the framework of the Constraints Satisfaction model, to determine, for the first time in French, the role played by several types of constraints (i.e., pragmatic, linguistic and sociocultural) in the understanding of ironic criticisms and ironic praises.The results of a first experiment, in which we used a listening task, showed that the incongruity between the context and the utterance was a stronger cue than prosody in the understanding of ironic critics. Indeed, we showed that while all participants, in their interpretations, relied on contextual information, only some participants also used prosodic cues. The results of the two subsequent experiments, consisting of written tasks, confirmed the main role played by pragmatic constraints in irony understanding, and particularly in understanding of ironic criticisms. Our results also highlighted the contribution, while at a lower level than pragmatic constraints, of sociocultural constraints of the participants in the irony understanding. Our results also confirmed the asymmetry of irony and showed that the pragmatic constraints contributing to the understanding of ironic praises would be different from those contributing to the understanding of ironic criticism
De, Nadai Patrick. "De l'image dictionnairique au modèle lexicographique : la systémique lexicale." Paris 8, 1992. http://www.theses.fr/1993PA080771.
Full textMonolingual language dictionaries contain a lot of informations describing the language they are dealing with. Since this description is based on a given corpus, dictionaries provide a certain 'image' of this language. In order to improve the quality of dictionaries, it would be necessary for lexicographers to have a 'model' providing a description of the language as objective as possible. If language is conceived of as consisting in a 'system' of relations (both lexical and syntactical), the model should present all relations established in the language. The purpose of our work is to propose a method so as to build up such a model, from the informations contained in an extensive dictionary. After having established what a 'language dictionary' and a 'word definition' are, we analyse the definitions of our corpus, in order to extract lexical relations. Then, with these extracted relations, we try to outline a linguistic analysis of the 'prefix' anti-
Books on the topic "Modèle lexical"
Singleton, David. Lexical processing and the "language module". Dublin: Centre for Language & Communication Studies, T.C.D., 1998.
Find full textMethodological and analytic frontiers in lexical research. Amsterdam: John Benjamins Pub. Co., 2012.
Find full textMiezitis, Mara Anita. Generating lexical options by matching in a knowledge base. Toronto: Computer Systems Research Institute, University of Toronto, 1988.
Find full textCi hui yu yi de dong tai mo shi: Ci yi de can shu hua yan jiu = Dinamicheskie modeli v semantike leksiki : semanticheskie parametry leksiki = The dynamic models of lexical semantics : lexical semantic parameters. Haerbin: Heilongjiang ren min chu ban she, 2010.
Find full textLenahan, James. Lenahan's locomotive lexicon: A book of HO scale motive power for the ferroequineologist [i.e. ferroequinologist]. 3rd ed. Manitou Springs, Colo. (PO Box 46, Manitou Springs 80829): J. Lenahan, 1985.
Find full textKupcova, Oksana. The basics of the Latin language with medical terminology. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1058964.
Full textTallis, Raymond. Why the mind is not a computer: A pocket lexicon of neuromythology. Exeter, UK: Imprint Academic, 2004.
Find full textFrancez, Nissim. Unification grammars. Cambridge: Cambridge University Press, 2012.
Find full textBook chapters on the topic "Modèle lexical"
Mitchell, R. J. "Lexical Analysis." In Modula-2 Applied, 198–205. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-12439-8_16.
Full textBoguraev, Branimir, and Beth Levin. "Models for Lexical Knowledge Bases." In Studies in Linguistics and Philosophy, 325–40. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1972-6_15.
Full textBasnight-Brown, Dana M. "Models of Lexical Access and Bilingualism." In Foundations of Bilingual Memory, 85–107. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9218-4_5.
Full textClark, Stephen. "Vector Space Models of Lexical Meaning." In The Handbook of Contemporary Semantic Theory, 493–522. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118882139.ch16.
Full textEckle-Kohler, Judith, Iryna Gurevych, Silvana Hartmann, Michael Matuschek, and Christian M. Meyer. "UBY-LMF - Exploring the Boundaries of Language-Independent Lexicon Models." In LMF Lexical Markup Framework, 145–56. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118712696.ch10.
Full textWinther-Nielsen, Nicolai. "A Role-Lexical Module (RLM) for Biblical Hebrew." In Investigations of the Syntax–Semantics–Pragmatics Interface, 455–78. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/slcs.105.31win.
Full textSpinde, Timo, Felix Hamborg, and Bela Gipp. "Media Bias in German News Articles: A Combined Approach." In ECML PKDD 2020 Workshops, 581–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65965-3_41.
Full textBasili, Roberto, Danilo Croce, Cristina Giannone, and Diego De Cao. "Acquiring IE Patterns through Distributional Lexical Semantic Models." In Computational Linguistics and Intelligent Text Processing, 512–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12116-6_44.
Full textCroce, Danilo, Simone Filice, and Roberto Basili. "Distributional Models and Lexical Semantics in Convolution Kernels." In Computational Linguistics and Intelligent Text Processing, 336–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28604-9_28.
Full textZavitsanos, Elias, George Tsatsaronis, Iraklis Varlamis, and Georgios Paliouras. "Scalable Semantic Annotation of Text Using Lexical and Web Resources." In Artificial Intelligence: Theories, Models and Applications, 287–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12842-4_32.
Full textConference papers on the topic "Modèle lexical"
Cao, Hailong, and Tiejun Zhao. "Point Set Registration for Unsupervised Bilingual Lexicon Induction." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/555.
Full textFeldman, D. G., T. R. Sadekova, and K. V. Vorontsov. "COMBINING FACTS, SEMANTIC ROLES AND SENTIMENT LEXICON IN A GENERATIVE MODEL FOR OPINION MINING." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-283-298.
Full textSaha, Swarnadeep, Malolan Chetlur, Tejas Indulal Dhamecha, W. M. Gayathri K. Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, and Shantanu Godbole. "Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/718.
Full textZhou, Mengfei, Anette Frank, Annemarie Friedrich, and Alexis Palmer. "Semantically Enriched Models for Modal Sense Classification." In Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/w15-2705.
Full textLi, Zhongyang, Xiao Ding, Ting Liu, J. Edward Hu, and Benjamin Van Durme. "Guided Generation of Cause and Effect." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/502.
Full textKlabunde, Ralf. "Lexical choice of modal expressions." In the Eleventh European Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1610163.1610176.
Full textCucerzan, Silviu, and David Yarowsky. "Augmented mixture models for lexical disambiguation." In the ACL-02 conference. Morristown, NJ, USA: Association for Computational Linguistics, 2002. http://dx.doi.org/10.3115/1118693.1118698.
Full textTsvetkov, Yulia, Waleed Ammar, and Chris Dyer. "Constraint-Based Models of Lexical Borrowing." In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1062.
Full textPeirsman, Yves, and Dirk Speelman. "Word space models of lexical variation." In the Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1705415.1705417.
Full textTerra, Egidio, and Charles L. A. Clarke. "Fast computation of lexical affinity models." In the 20th international conference. Morristown, NJ, USA: Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1220355.1220502.
Full textReports on the topic "Modèle lexical"
Hirayama, Yuji. A PROLOG Lexical Phrase Computer Assisted Language Learning Module. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7173.
Full text