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Application de la réécriture de graphes au traitement automatique des langues

Application de la réécriture de graphes au traitement automatique des langues PDF Author: Guillaume Bonfante
Publisher: ISTE Group
ISBN: 1784054763
Category : Natural language processing (Computer science)
Languages : fr
Pages : 243

Book Description
Les corpus annotés occupent une place de plus en plus importante dans le traitement automatique des langues (TAL). Cet ouvrage présente la réécriture de graphes, un modèle de calcul adapté au TAL. Tous les calculs sont vus comme des transformations de graphes. La réécriture se prête bien à la réalisation de ces transformations en permettant d’exprimer directement des règles basées sur des connaissances linguistiques. Il n’y a pas de modèle standard de la réécriture de graphes. Les auteurs ont conçu un modèle adapté spécifiquement au TAL. Ils proposent le système GREW, un outil utilisé pour des applications à large échelle (analyse syntaxique, passage d’une annotation syntaxique à une annotation sémantique, etc.).

Application de la réécriture de graphes au traitement automatique des langues

Application de la réécriture de graphes au traitement automatique des langues PDF Author: Guillaume Bonfante
Publisher: ISTE Group
ISBN: 1784054763
Category : Natural language processing (Computer science)
Languages : fr
Pages : 243

Book Description
Les corpus annotés occupent une place de plus en plus importante dans le traitement automatique des langues (TAL). Cet ouvrage présente la réécriture de graphes, un modèle de calcul adapté au TAL. Tous les calculs sont vus comme des transformations de graphes. La réécriture se prête bien à la réalisation de ces transformations en permettant d’exprimer directement des règles basées sur des connaissances linguistiques. Il n’y a pas de modèle standard de la réécriture de graphes. Les auteurs ont conçu un modèle adapté spécifiquement au TAL. Ils proposent le système GREW, un outil utilisé pour des applications à large échelle (analyse syntaxique, passage d’une annotation syntaxique à une annotation sémantique, etc.).

Application of Graph Rewriting to Natural Language Processing

Application of Graph Rewriting to Natural Language Processing PDF Author: Guillaume Bonfante
Publisher: John Wiley & Sons
ISBN: 1119522331
Category : Language Arts & Disciplines
Languages : en
Pages : 278

Book Description
The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. Deep syntax is an abstraction of syntactic dependencies towards semantics in the form of graphs and there is a compact way of representing the semantics in an underspecified logical framework also with graphs. Then, Graph Rewriting reconciles efficiency with linguistic readability for producing representations at some linguistic level by transformation of a neighbor level: from raw text to surface syntax, from surface syntax to deep syntax, from deep syntax to underspecified logical semantics and conversely.

Information Retrieval and Natural Language Processing

Information Retrieval and Natural Language Processing PDF Author: Sheetal S. Sonawane
Publisher: Springer Nature
ISBN: 981169995X
Category : Mathematics
Languages : en
Pages : 186

Book Description
This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory. This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format.

Le traitement automatique des Langues

Le traitement automatique des Langues PDF Author: Pirmin Lemberger
Publisher: Dunod
ISBN: 2100811509
Category : Computers
Languages : fr
Pages : 336

Book Description
Le traitement automatique du langage est une branche importante de l'intelligence artificielle et du machine learning dont l'objectif est de parvenir à "comprendre" et analyser des textes afin d'en extraire des connaissances sans intervention humaine. Les champs d'application sont à la fois très variés et très vastes (traduction instantanée en plusieurs langues, commandes vocales, agents conversationnels, analyse de CV, veille économique...). Cet ouvrage dresse un état de l'art de cette discipline, en explique les bases théoriques et informatiques, les approches linguistiques classiques et les approches statistiques plus modernes. L'exemple de l'analyse des suggestions rassemblées lors du Grand débat national à l'aide de ces méthodes d'IA sert d'illustration.

Méthodes d'analyse supervisée pour l'interface syntaxe-sémantique

Méthodes d'analyse supervisée pour l'interface syntaxe-sémantique PDF Author: Corentin Ribeyre
Publisher:
ISBN:
Category :
Languages : fr
Pages : 0

Book Description
Aujourd'hui, le volume de données textuelles disponibles est colossal. Ces données représentent des informations inestimables impossibles à traiter manuellement. De fait, il est essentiel d'utiliser des techniques de Traitement Automatique des Langues pour extraire les informations saillantes et comprendre le sens sous-jacent. Cette thèse s'inscrit dans cette perspective et proposent des ressources, des modèles et des méthodes pour permettre : (i) l'annotation automatique de corpus à l'interface entre la syntaxe et la sémantique afin d'en extraire la structure argumentale (ii) l'exploitation des ressources par des méthodes efficaces. Nous proposons d'abord un système de réécriture de graphes et un ensemble de règles de réécriture manuellement écrites permettant l'annotation automatique de la syntaxe profonde du français. Grâce à cette approche, deux corpus ont vu le jour : le DeepSequoia, version profonde du corpus Séquoia et le DeepFTB, version profonde du French Treebank en dépendances. Ensuite, nous proposons deux extensions d'analyseurs par transitions et les adaptons à l'analyse de graphes. Nous développons aussi un ensemble de traits riches issus d'analyses syntaxiques. L'idée est d'apporter des informations topologiquement variées donnant à nos analyseurs les indices nécessaires pour une prédiction performante de la structure argumentale. Couplé à un analyseur par factorisation d'arcs, cet ensemble de traits permet d'établir l'état de l'art sur le français et de dépasser celui établi pour les corpus DM et PAS sur l'anglais. Enfin, nous explorons succinctement une méthode d'induction pour le passage d'un arbre vers un graphe.

Graph-based Natural Language Processing and Information Retrieval

Graph-based Natural Language Processing and Information Retrieval PDF Author: Rada Mihalcea
Publisher:
ISBN:
Category :
Languages : en
Pages : 202

Book Description
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This 2011 book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Introduction to Corpus Linguistics

Introduction to Corpus Linguistics PDF Author: Sandrine Zufferey
Publisher: John Wiley & Sons
ISBN: 1786304171
Category : Science
Languages : en
Pages : 288

Book Description
Over the past decades, the use of quantitative methods has become almost generalized in all domains of linguistics. However, using these methods requires a thorough understanding of the principles underlying them. Introduction to quantitative methods in linguistics aims at providing students with an up-to-date and accessible guide to both corpus linguistics and experimental linguistics. The objectives are to help students developing critical thinking about the way these methods are used in the literature and helping them to devise their own research projects using quantitative data analysis.

Finite-state Language Processing

Finite-state Language Processing PDF Author: Emmanuel Roche
Publisher: MIT Press
ISBN: 9780262181822
Category : Computers
Languages : en
Pages : 494

Book Description
Finite-state devices, such as finite-state automata, graphs, and finite-state transducers, have been present since the emergence of computer science and are extensively used in areas as various as program compilation, hardware modeling, and database management. Although finite-state devices have been known for some time in computational linguistics, more powerful formalisms such as context-free grammars or unification grammars have typically been preferred. Recent mathematical and algorithmic results in the field of finite-state technology have had a great impact on the representation of electronic dictionaries and on natural language processing, resulting in a new technology for language emerging out of both industrial and academic research. This book presents a discussion of fundamental finite-state algorithms, and constitutes an approach from the perspective of natural language processing.

Handbook of Graph Grammars and Computing by Graph Transformation

Handbook of Graph Grammars and Computing by Graph Transformation PDF Author: Hartmut Ehrig
Publisher: World Scientific
ISBN: 9789810240219
Category : Mathematics
Languages : en
Pages : 480

Book Description
Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then, the list of areas which have interacted with the development of graph grammars has grown quite impressively. Besides the aforementioned areas, it includes software specification and development, VLSI layout schemes, database design, modeling of concurrent systems, massively parallel computer architectures, logic programming, computer animation, developmental biology, music composition, visual languages, and many others. The area of graph grammars and graph transformations generalizes formal language theory based on strings and the theory of term rewriting based on trees. As a matter of fact, within the area of graph grammars, graph transformation is considered a fundamental computation paradigm where computation includes specification, programming, and implementation. Over the last three decades, graph grammars have developed at a steady pace into a theoretically attractive and important-for-applications research field. Volume 3 of the 'indispensable Handbook of' Graph Grammars and Computing by Graph Transformations presents the research on concurrency, parallelism, and distribution -- important paradigms of modern science. The topics considered include semantics for concurrent systems, modeling of concurrency, mobile and coordinated systems, algebraic specifications, Petri nets, visual design of distributed systems, and distributed algorithms. The contributions have been written in a tutorial/survey style by the top experts.

Frontiers of Combining Systems

Frontiers of Combining Systems PDF Author: Pascal Fontaine
Publisher: Springer
ISBN: 3642408850
Category : Computers
Languages : en
Pages : 370

Book Description
This book constitutes the refereed proceedings of the 9th International Symposium on Frontiers of Combining Systems, FroCoS 2013, held in Nancy, France, in September 2013. The 20 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 33 submissions. FroCoS'13 seeks to offer a common forum for research in the general area of combination, modularization and integration of systems, with emphasis on logic-based ones, and of their practical use. Typical topics of interest include following subjects: combinations of logics such as combined predicate, temporal, modal or epistemic logics, combinations and modularity in ontologies, combination of decision, procedures, of satisfiability, procedures and of constraint solving techniques, combinations and modularity in term rewriting, integration of equational and other theories into deductive systems, combination of deduction systems and computer algebra, integration of data structures into constraint logic programming and deduction, and modularizing programs and specifications.