Littérature scientifique sur le sujet « Ukrainien (langue) – Analyse automatique (linguistique) »
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Articles de revues sur le sujet "Ukrainien (langue) – Analyse automatique (linguistique)"
Loock, Rudy. « Traduction automatique et usage linguistique : une analyse de traductions anglais-français réunies en corpus ». Meta 63, no 3 (6 juin 2019) : 786–806. http://dx.doi.org/10.7202/1060173ar.
Texte intégralCauli, Marie, Etienne Lemarié et Yves Tremblay. « Vers une science ouverte francophone en santé. Le champ de l’éducation médicale est aussi concerné ». Pédagogie Médicale, 2023. http://dx.doi.org/10.1051/pmed/2022041.
Texte intégralThèses sur le sujet "Ukrainien (langue) – Analyse automatique (linguistique)"
Saint-Joanis, Olena. « Formalisation de la langue ukrainienne avec NooJ : préparation du module ukrainien ». Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCC005.
Texte intégralLthough interest in the Ukrainian language has increased greatly in recent years, it remains poorly described and schematized. The few Natural Language Processing (NLP) software applications available do not necessarily meet the needs of students or researchers. These tools have been developed using stochastic approaches and, therefore, do not have a solid linguistic basis. Consequently, their usefulness is questionable, as they produce too many errors. After studying these available NLP applications, we chose to use the NooJ linguistic platform to process Ukrainian because it provides us with the tools we need to develop linguistic resources in the form of dictionaries and orthographic, morphological, syntactic, and semantic grammars. Note that NooJ also provides users with tools to manage corpora, perform various statistical analyses, and is well adapted to construct pedagogical applications. We have built a Ukrainian module for NooJ that consists of a main dictionary, "Ukr_dictionary_V.1.3," and two secondary dictionaries, "Ukr_dictionary_Participle_V.1.3" and "Ukr_dictionary_Proper_lowercase_V.1.3". The main dictionary contains 157,534 entries and recognizes 3,184,522 inflected forms. It describes simple ALUs made up of a single graphic form, but also locutions made up of two or more forms; it recognizes and analyzes ALUs with alternative spellings, and makes abbreviations explicit. The inflected forms of variable entries are formalized through 303 inflectional paradigms. We have also formalized 114 derivational paradigms that link perfective verbs to imperfective verbs. The 19 morphological grammars describe numerous derived forms and spelling variants not found in the dictionary. Finally, we have listed certain forms in secondary dictionaries, notably lower-case participles, and proper nouns. The "Ukr_dictionary_Participle_V.1.3" dictionary contains 13,070 entries and complements the main dictionary when the morphological grammar describing participles does not allow the participle to be recognized in the text. Thanks to these resources, 98.3% of occurrences in the test corpus were recognized and annotated with their morphological information. We also built ten syntactic grammars, which removed many ambiguities, as we went from 206,445 annotations to 131,415 for a corpus of 108,137 occurrences. We have also outlined several avenues for future work to improve our module, namely: the development of new additional morphological grammars and syntactic grammars that will remove the remaining ambiguities
Ranaivo, Balisoamanandray. « Analyse automatique de l'affixation en malais ». Paris, INALCO, 2001. http://www.theses.fr/2001INAL0016.
Texte intégralThe final aim of this thesis is the creation of an affixation analyser able of identifying , segmenting and interpreting affixed words containing prefix(es), suffix(es), and circumfix(es). The analyser has an input in Malaysian or Indonesian text. In this work, we study the standard Malay used in Malaysia, bahasa Melayu or bahasa Malaysia, which is written with Latin alphabet. To evaluate the accuracy of the analyser, we submitted Malaysian texts and one Indonesian text to the system. This analyser uses : a set of rules, a few list of exceptions, a restricted list of bases and formal identification criteria. The algorithm is non deterministic. Analysed words are treated without taking account of their contexts. The evaluation of the analyser gave around 97% of correct analysis and 2% of incorrect analysis. Very few affixed words were not analysed (rate less than 0,5%)
Boizou, Loïc. « Analyse lexicale automatique du lituanien ». Paris, INALCO, 2009. http://www.theses.fr/2009INAL0004.
Texte intégralThe aim of this thesis is to carry out lexical analysis of written texts in Lithuanian by automatic means, according to a heuristics from form to content based on symbolic methods. This study attempts to make an expanded use of marks given by linguistic forms, drawing on graphemic and morphological aspects. This formal starting point in conjunction with automation of linguistic tasks required a revision of the traditional grammatical point of view, concerning mainly parts of speech, lexical structure and suffixation. This linguistic model, which needs further expansion, served as a basis for ALeksas, an analyzer of lexical forms. This software implements a hybrid structure expanding a system of finite state automata. The prototype computes the analysis of word forms, giving grammatical interpretations according to a set of formal criteria, instead of making use of a lexical database. The results of the analysis of a corpus complied from various texts allowed us to delineate more precisely the advantages and shortcomings of Aleksas, as compared with other similar tools, and to also suggest possible enhancements
Hagège, Caroline. « Analyse syntaxique automatique du portugais ». Clermont-Ferrand 2, 2000. http://www.theses.fr/2000CLF20028.
Texte intégralNakamura, Delloye Yayoi. « Alignement automatique de textes parallèles français - japonais ». Paris 7, 2007. http://www.theses.fr/2007PA070054.
Texte intégralAutomatic alignment aims to match elements of parallel texts. We are interested especially in the implementation of a System which carries out alignment at the clause level. Clause is a beneficial linguistic unit for many applications. This thesis consists of two types of works: the introductory works and those that constitute the thesis core. It is structured around the concept of syntactic clause. The introductory works include an overview of alignment and studies on sentence alignment. These works resulted in the creation of a sentence alignment System adapted to French and Japanese text processing. The thesis core consists of two types of works: linguistic studies and implementations. The linguistic studies are themselves divided into two topics: French clause and Japanese clause. The goal of our French clause studies is to define a grammar for clause identification. For this purpose, we attempted to define a typological classification of clauses, based on formal criteria only. In Japanese studies, we first define the Japanese sentence on the basis of the theme-rheme structure. We then try to elucidate the notion of clause. Implementation works consist of three tasks which finally constitute the clause alignment processing. These tasks are carried out by three separate tools: two clauses identification Systems (one for French texts and one for Japanese texts) and a clause alignment System
Segal, Natalia. « Analyse, représentation et modélisation de la prosodie pour la reconnaissance automatique de la parole ». Paris 7, 2011. http://www.theses.fr/2011PA070041.
Texte intégralThis thesis presents a new approach to automatic prosodic boundary and prosodic structure detection based on a theoretical hierarchical representation of prosodic organization of speech in French. We used a descriptive theory of the French prosodic System to create a rule based linguistic prosodic model suitable for the automatic treatment of spontaneous speech. This model allows finding automatically prosodic group boundaries and structuring them hierarchically. The prosodic structure of every phrase is thus represented in the form of a prosodic tree. This representation proved to be efficient for automatic processing of continuous speech in French. The resulting prosodic segmentation was compared to manual prosodic segmentation. Prosodic structure accuracy was also verified manually by an expert. We applied our model to different kinds of continuous spontaneous speech data with different phonemic and lexical segmentations: manual segmentation and different kinds of automatic segmentations. In particular, the application of our prosodic model to the output of a speech recognition System showed a satisfactory performance. There also bas been established a correlation between the level of the prosodic tree node and the boundary detection accuracy. Thus, it is possible to improve the precision of boundary detection by attributing a degree of confidence to the boundary according to its level in prosodic tree
Gaubert, Christian. « Stratégies et règles minimales pour un traitement automatique de l'arabe ». Aix-Marseille 1, 2001. http://www.theses.fr/2001AIX10040.
Texte intégralRayon, Nadine. « Segmentation et analyse morphologique automatiques du japonais en univers ouvert ». Paris, INALCO, 2003. http://www.theses.fr/2003INAL0002.
Texte intégralThe present thesis proposes an automatic morphological analysis of the kanji sequences in Japanese texts. This analysis is based on the graphemic, morphological and syntactic characteristics of the Japanese language. It does not employ any dictionary and is based on the recognition of the immediate contexts of the kanji sequences. It leads to a tagging of the recognized linguistic units and to a segmentation of the text. The first part of the thesis describes the Japanese writing system and its encoding methods. The second part deals with the Japanese parts of speech, in particular verbs, adjectives, particles and flexional suffixes which morphosyntaxic characteristics are essential for the morphological analysis. The third part describes the module of analysis: identification and formalization of the data necessary to the analysis, algorithm of the analysis and the related treatments, formalization of models of objects necessary to the data-processing handling of Japanese
Li, Yiping. « Étude des problèmes spécifiques de l'intégration du chinois dans un système de traitement automatique pour les langues européennes ». Université de Marne-la-Vallée, 2006. http://www.theses.fr/2006MARN0282.
Texte intégralLinguistic analysis is a fundamental and essential step for natural language processing. It often includes part-of-speech tagging and named entity identification in order to realize higher level applications, such as information retrieval, automatic translation, question answers, etc. Chinese linguistic analysis must perform the same tasks as that of other languages, but it must resolve a supplemental difficulty caused by the lack of delimiter between words. Since the word is the elementary unit for automated language processing, it is indispensable to segment sentences into words for Chinese language processing. In most existing system described in the literature, segmentation, part-of-speech tagging and named entity recognition are often presented as three sequential, independent steps. But since segmentation provides the basis for and impacts the other two steps, some statistical methods which collapse all three treatments or two of the three into one module have been proposed. With these combinations of steps, segmentation can be improved by complementary information supplied by part-of-speech tagging and named entity recognition, and global analysis of Chinese improved. However this unique treatment model is not modular and difficult to adapt to different languages other than Chinese. Consequently, this approach is not suitable for creating multilingual automatic analysis systems. This dissertation studies the integration Chinese automatic analysis into an existing multilingual analysis system LIMA. Originally built for European languages, LIMA’s modular approach imposes some constraints that a monolingual Chinese analysis system need not consider. Firstly, the treatment for Chinese should be compatible and follow the same flow as other languages. And secondly, in order to keep the system coherent, it is preferable to employ common modules for all the languages treated by the system, including a new language like Chinese. To respect these constraints, we chose to realize the phases of segmentation, part-of-speech tagging and named entity recognition separately. Our modular treatment includes a specific module for Chinese analysis that should be reusable for other languages with similar linguistic features. After error analysis of this purely modular approach, we were able to improve our segmentation with enriched information supplied by part-ofspeech tagging, named entity recognition and some linguistic knowledge. In our final results, three specific treatments have been added into the LIMA system: a pretreatment based on a co-occurrence model applied before segmentation, a term tokenization relative to numbers written in Chinese characters, and a complementary treatment after segmentation that identifies certain named entities before subsequent part-of-speech tagging. We evaluate and discuss the improvement that these additional treatments bring to our analysis, while retaining the modular and linear approach of the underlying LIMA natural language processing system
Badia, Toni. « Aspectes del sintagma nominal en català des de la perspectiva de la traducció automàtica / ». Montserrat : Abadia de Montserrat, 1994. http://catalogue.bnf.fr/ark:/12148/cb357951358.
Texte intégralLivres sur le sujet "Ukrainien (langue) – Analyse automatique (linguistique)"
Hausser, Roland R. Newcat : Parsing Natural Language Using Left-Associative Grammar (Lecture Notes in Computer Science). Springer, 1986.
Trouver le texte intégralTraitement automatique du français écrit : Développements théoriques et applications. Montréal : Acfas, 1996.
Trouver le texte intégralNEWCAT : Parsing natural language using left-associative grammar. Berlin : Springer-Verlag, 1986.
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