Auswahl der wissenschaftlichen Literatur zum Thema „Modèles multilingues“
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Zeitschriftenartikel zum Thema "Modèles multilingues"
Todiraşcu-Courtier, Amalia, und Christopher Gledhill. „Extracting collocations in context : the case of verb-noun constructions in English and Romanian“. Recherches anglaises et nord-américaines 41, Nr. 1 (2008): 127–42. http://dx.doi.org/10.3406/ranam.2008.1357.
Der volle Inhalt der QuelleDancette, Jeanne. „L’intégration des relations sémantiques dans les dictionnaires spécialisés multilingues : du corpus ciblé à l’organisation des connaissances“. Meta 56, Nr. 2 (14.10.2011): 284–300. http://dx.doi.org/10.7202/1006177ar.
Der volle Inhalt der QuelleMilian-Massana, Antoni. „L’intervention des pouvoirs publics dans les déterminations linguistiques relatives à l’enseignement : modèles et limites“. Doctrine : droit comparé 26, Nr. 2 (30.03.2016): 205–33. http://dx.doi.org/10.7202/1035860ar.
Der volle Inhalt der QuelleGuy, Gregory R. „International Perspectives on Linguistic Diversity and Language Rights“. Language Problems and Language Planning 13, Nr. 1 (01.01.1989): 45–53. http://dx.doi.org/10.1075/lplp.13.1.06guy.
Der volle Inhalt der QuelleLi, Bo, und Eric Gaussier. „Modèles d’information pour la recherche multilingue“. Document numérique 16, Nr. 2 (30.08.2013): 11–30. http://dx.doi.org/10.3166/dn.16.2.11-30.
Der volle Inhalt der QuelleGfeller, Elisabeth. „modèle africain d'éducation multilingue: le trilinguisme extensif“. Travaux neuchâtelois de linguistique, Nr. 26 (01.04.1997): 43–57. http://dx.doi.org/10.26034/tranel.1997.2519.
Der volle Inhalt der QuelleSomers, Harold, und Danny Jones. „La génération de textes multilingues par un utilisateur monolingue“. Meta 37, Nr. 4 (30.09.2002): 647–56. http://dx.doi.org/10.7202/004200ar.
Der volle Inhalt der QuelleNoyau, Colette. „enseignement plurilingue du point de vue de l'apprenant“. Langues & Parole 3 (30.11.2017): 89–109. http://dx.doi.org/10.5565/rev/languesparole.37.
Der volle Inhalt der QuelleMeylaerts, Reine. „La traduction dans la culture multilingue“. Target. International Journal of Translation Studies 16, Nr. 2 (31.12.2004): 289–317. http://dx.doi.org/10.1075/target.16.2.05mey.
Der volle Inhalt der QuelleTrautmann-Waller, Céline. „L’enfance juive multilingue comme origine d’un projet scientifique. Récurrences d’un modèle autobiographique“. Revue germanique internationale, Nr. 17 (15.01.2002): 81–92. http://dx.doi.org/10.4000/rgi.885.
Der volle Inhalt der QuelleDissertationen zum Thema "Modèles multilingues"
Charton, Eric. „Génération de phrases multilingues par apprentissage automatique de modèles de phrases“. Phd thesis, Université d'Avignon, 2010. http://tel.archives-ouvertes.fr/tel-00622561.
Der volle Inhalt der QuelleCharton, Éric. „Génération de phrases multilingues par apprentissage automatique de modèles de phrases“. Thesis, Avignon, 2010. http://www.theses.fr/2010AVIG0175/document.
Der volle Inhalt der QuelleNatural Language Generation (NLG) is the natural language processing task of generating natural language from a machine representation system. In this thesis report, we present an architecture of NLG system relying on statistical methods. The originality of our proposition is its ability to use a corpus as a learning resource for sentences production. This method offers several advantages : it simplifies the implementation and design of a multilingual NLG system, capable of sentence production of the same meaning in several languages. Our method also improves the adaptability of a NLG system to a particular semantic field. In our proposal, sentence generation is achieved trough the use of sentence models, obtained from a training corpus. Extracted sentences are abstracted by a labelling step obtained from various information extraction and text mining methods like named entity recognition, co-reference resolution, semantic labelling and part of speech tagging. The sentence generation process is achieved by a sentence realisation module. This module provide an adapted sentence model to fit a communicative intent, and then transform this model to generate a new sentence. Two methods are proposed to transform a sentence model into a generated sentence, according to the semantic content to express. In this document, we describe the complete labelling system applied to encyclopaedic content to obtain the sentence models. Then we present two models of sentence generation. The first generation model substitute the semantic content to an original sentence content. The second model is used to find numerous proto-sentences, structured as Subject, Verb, Object, able to fit by part a whole communicative intent, and then aggregate all the selected proto-sentences into a more complex one. Our experiments of sentence generation with various configurations of our system have shown that this new approach of NLG have an interesting potential
Sam, Sethserey. „Vers une adaptation autonome des modèles acoustiques multilingues pour le traitement automatique de la parole“. Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00685204.
Der volle Inhalt der QuelleBalikas, Georgios. „Explorer et apprendre à partir de collections de textes multilingues à l'aide des modèles probabilistes latents et des réseaux profonds“. Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM054/document.
Der volle Inhalt der QuelleText is one of the most pervasive and persistent sources of information. Content analysis of text in its broad sense refers to methods for studying and retrieving information from documents. Nowadays, with the ever increasing amounts of text becoming available online is several languages and different styles, content analysis of text is of tremendous importance as it enables a variety of applications. To this end, unsupervised representation learning methods such as topic models and word embeddings constitute prominent tools.The goal of this dissertation is to study and address challengingproblems in this area, focusing on both the design of novel text miningalgorithms and tools, as well as on studying how these tools can be applied to text collections written in a single or several languages.In the first part of the thesis we focus on topic models and more precisely on how to incorporate prior information of text structure to such models.Topic models are built on the premise of bag-of-words, and therefore words are exchangeable. While this assumption benefits the calculations of the conditional probabilities it results in loss of information.To overcome this limitation we propose two mechanisms that extend topic models by integrating knowledge of text structure to them. We assume that the documents are partitioned in thematically coherent text segments. The first mechanism assigns the same topic to the words of a segment. The second, capitalizes on the properties of copulas, a tool mainly used in the fields of economics and risk management that is used to model the joint probability density distributions of random variables while having access only to their marginals.The second part of the thesis explores bilingual topic models for comparable corpora with explicit document alignments. Typically, a document collection for such models is in the form of comparable document pairs. The documents of a pair are written in different languages and are thematically similar. Unless translations, the documents of a pair are similar to some extent only. Meanwhile, representative topic models assume that the documents have identical topic distributions, which is a strong and limiting assumption. To overcome it we propose novel bilingual topic models that incorporate the notion of cross-lingual similarity of the documents that constitute the pairs in their generative and inference processes. Calculating this cross-lingual document similarity is a task on itself, which we propose to address using cross-lingual word embeddings.The last part of the thesis concerns the use of word embeddings and neural networks for three text mining applications. First, we discuss polylingual document classification where we argue that translations of a document can be used to enrich its representation. Using an auto-encoder to obtain these robust document representations we demonstrate improvements in the task of multi-class document classification. Second, we explore multi-task sentiment classification of tweets arguing that by jointly training classification systems using correlated tasks can improve the obtained performance. To this end we show how can achieve state-of-the-art performance on a sentiment classification task using recurrent neural networks. The third application we explore is cross-lingual information retrieval. Given a document written in one language, the task consists in retrieving the most similar documents from a pool of documents written in another language. In this line of research, we show that by adapting the transportation problem for the task of estimating document distances one can achieve important improvements
Zhang, Ying. „Modèles et outils pour des bases lexicales "métier" multilingues et contributives de grande taille, utilisables tant en traduction automatique et automatisée que pour des services dictionnairiques variés“. Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM017/document.
Der volle Inhalt der QuelleOur research is in computational lexicography, and concerns not only the computer support to lexical resources useful for MT (machine translation) and MAHT (Machine Aided Human Translation), but also the linguistic architecture of lexical databases supporting these resources in an operational context (CIFRE thesis with L&M).We begin with a study of the evolution of ideas in this area, since the computerization of classical dictionaries to platforms for building up true "lexical databases" such as JIBIKI-1 [Mangeot, M. et al., 2003 ; Sérasset, G., 2004] and JIBIKI-2 [Zhang, Y. et al., 2014]. The starting point was the PIVAX-1 system [Nguyen, H.-T. et al., 2007 ; Nguyen, H. T. & Boitet, C., 2009] designed for lexical bases for heterogeneous MT systems with a lexical pivot, able to support multiple volumes in each "lexical space", be it natural or artificial (as UNL). Considering the industrial context, we focused our research on some issues, in informatics and lexicography.To scale up, and to add some new features enabled by JIBIKI-2, such as the "rich links", we have transformed PIVAX-1 into PIVAX-2, and reactivated the GBDLEX-UW++ project that started during the ANR TRAOUIERO project, by re-importing all (multilingual) data supported by PIVAX-1, and making them available on an open server.Hence a need for L&M for acronyms, we expanded the "macrostructure" of PIVAX incorporating volumes of "prolexemes" as in PROLEXBASE [Tran, M. & Maurel, D., 2006]. We also show how to extend it to meet new needs such as those of the INNOVALANGUES project. Finally, we have created a "lemmatisation middleware", LEXTOH, which allows calling several morphological analyzers or lemmatizers and then to merge and filter their results. Combined with a new dictionary creation tool, CREATDICO, LEXTOH allows to build on the fly a "mini-dictionary" corresponding to a sentence or a paragraph of a text being "post-edited" online under IMAG/SECTRA, which performs the lexical proactive support functionality foreseen in [Huynh, C.-P., 2010]. It could also be used to create parallel corpora with the aim to build MOSES-based "factored MT systems"
Daoud, Mohammad. „Utilisation de ressources non conventionnelles et de méthodes contributives pour combler le fossé terminologique entre les langues en développant des "préterminologies" multilingues“. Phd thesis, Grenoble, 2010. http://tel.archives-ouvertes.fr/tel-00583682.
Der volle Inhalt der QuelleDaoud, Mohammad. „Utilisation de ressources non conventionnelles et de méthodes contributives pour combler le fossé terminologique entre les langues en développant des "préterminologies" multilingues“. Phd thesis, Grenoble, 2010. http://www.theses.fr/2010GRENM090.
Der volle Inhalt der QuelleOur motivation is to bridge the terminological gap that grows with the massive production of new concepts (50 daily) in various domains, for which terms are often first coined in some well-resourced language, such as English or French. Finding equivalent terms in different languages is necessary for many applications, such as CLIR and MT. This task is very difficult, especially for some widely used languages such as Arabic, because (1) only a small proportion of new terms is properly recorded by terminologists, and for few languages; (2) specific communities continuously create equivalent terms without normalizing and even recording them (latent terminology); (3) in many cases, no equivalent terms are created, formally or informally (absence of terminology). This thesis proposes to replace the impossible goal of building in a continuous way an up-to-date, complete and high-quality terminology for a large number of languages by that of building a preterminology, using unconventional methods and passive or active contributions by communities of internauts: extracting potential parallel terms not only from parallel or comparable texts, but also from logs of visits to Web sites such as DSR (Digital Silk Road), and from data produced by serious games. A preterminology is a new kind of lexical resource that can be easily constructed and has good coverage. Following a growing trend in computational lexicography and NLP in general, we represent a multilingual preterminology by a graph structure (Multilingual Preterminological Graph, MPG), where nodes bear preterms and arcs simple preterminological relations (monolingual synonymy, translation, generalization, specialization, etc. ) that approximate usual terminological (or ontological) relations. A complete System for Eliciting Preterminology (SEpT) has been developed to build and maintain MPGs. Passive approaches have been experimented by developing an MPG for the DSR cultural Web site, and another for the domain of Arabic oneirology: the produced resources achieved good informational and linguistic coverage. The indirect active contribution approach is being tested since 8-9 months using the Arabic instance of the JeuxDeMots serious game
Le, Thi Hoang Diem. „Utilisation de ressources externes dans un modèle Bayésien de Recherche d'Information. Application à la recherche d'information multilingue avec UMLS“. Phd thesis, Université Joseph Fourier (Grenoble), 2009. http://tel.archives-ouvertes.fr/tel-00463681.
Der volle Inhalt der QuelleMuller, Benjamin. „How Can We Make Language Models Better at Handling the Diversity and Variability of Natural Languages ?“ Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS399.
Der volle Inhalt der QuelleDeep Learning for NLP has led to impressive empirical progress in recent years. In essence, this progress is based on better contextualized representations that can be easily used for a wide variety of tasks. However, these models usually require substantial computing power and large amounts of raw textual data. This makes language’s inherent diversity and variability a vivid challenge in NLP. We focus on the following: How can we make language models better at handling the variability and diversity of natural languages?. First, we explore the generalizability of language models by building and analyzing one of the first large-scale replication of a BERT model for a non-English language. Our results raise the question of using these language models on highly-variable domains such as these found online. Focusing on lexical normalization, we show that this task can be approached with BERT-like models. However, we show that it only partially helps downstream performance. In consequence, we focus on adaptation techniques using what we refer to as representation transfer and explore challenging settings such as the zero-shot setting, low-resource languages. We show that multilingual language models can be adapted and used efficiently with low-resource languages, even with the ones unseen during pretraining, and that the script is a critical component in this adaptation
Le, Thi Hoang Diem. „Utilisation de ressources externes dans un modèle Bayésien de recherche d'information : application à la recherche d'information médicale multilingue avec UMLS“. Phd thesis, Grenoble 1, 2009. http://www.theses.fr/2009GRE10073.
Der volle Inhalt der QuelleWith the availability of external resources to documents, the Information Retrieval Systems evolve. These resources provide not only information on the terms and concepts for a more precise indexing, but also the semantic relations between these terms or concepts. Our thesis work lies in the use of external resources in information retrieval. We study firstly the indexing conceptual in comparison with term-based indexing. The problem arrise when the documents and the query don't share the same concepts, but the concepts of the documents are semantically related with the concepts of the query. We propose to take into account these semantic relationships between concepts by a information retrieval model which is based on a Bayesian network of concepts and their semantic relationships. Ln addition, we propose the use of knowledge of the problem from external ressource to improve the performance of retrieval. The validation of the proposed mode is achieved by experiments in the medical domaine information retrieval, with the use of meta thesaurus UMU as external resource. The application for a system of information retrieval multi modality (text and images) was also performed