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Semantic Analysis of Verbal Collocations with Lexical Functions

  • Alexander Gelbukh
  • Olga Kolesnikova

Part of the Studies in Computational Intelligence book series (SCI, volume 414)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Alexander Gelbukh, Olga Kolesnikova
    Pages 1-18
  3. Alexander Gelbukh, Olga Kolesnikova
    Pages 19-40
  4. Alexander Gelbukh, Olga Kolesnikova
    Pages 41-50
  5. Alexander Gelbukh, Olga Kolesnikova
    Pages 51-59
  6. Alexander Gelbukh, Olga Kolesnikova
    Pages 61-83
  7. Alexander Gelbukh, Olga Kolesnikova
    Pages 85-92
  8. Alexander Gelbukh, Olga Kolesnikova
    Pages 93-96
  9. Back Matter
    Pages 0--1

About this book

Introduction

This book is written for both linguists and computer scientists working in the field of artificial intelligence as well as to anyone interested in intelligent text processing.

Lexical function is a concept that formalizes semantic and syntactic relations between lexical

units. Collocational relation is a type of institutionalized lexical relations which holds between the base and its partner in a collocation. Knowledge of collocation is important for natural language processing because collocation comprises the restrictions on how words can be used together. The book shows how collocations can be annotated with lexical functions in a computer readable dictionary - allowing their precise semantic analysis in texts and their effective use in natural language applications including parsers, high quality machine translation, periphrasis system and computer-aided learning of lexica. The books shows how to extract collocations from corpora and annotate them with lexical functions automatically. To train algorithms, the authors created a dictionary of lexical functions containing more than 900 Spanish disambiguated and annotated examples which is a part of this book. The obtained results show that machine learning is feasible to achieve the task of automatic detection of lexical functions.

Keywords

Computational Intelligence Computational Linguistics Natural Language Processing

Authors and affiliations

  • Alexander Gelbukh
    • 1
  • Olga Kolesnikova
    • 2
  1. 1., Center for Computing ResearchNational Polytechnic InstituteMexicoMexico
  2. 2., Center for Computing ResearchNational Polytechnic InstituteMexicoMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-28771-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-28770-1
  • Online ISBN 978-3-642-28771-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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