© 2015

Multiword Expressions Acquisition

A Generic and Open Framework


Table of contents

  1. Front Matter
    Pages i-xiv
  2. Carlos Ramisch
    Pages 1-19
  3. Multiword Expressions: A Tough Nut to Crack

    1. Front Matter
      Pages 21-21
    2. Carlos Ramisch
      Pages 23-51
    3. Carlos Ramisch
      Pages 53-102
  4. MWE Acquisition

    1. Front Matter
      Pages 103-103
    2. Carlos Ramisch
      Pages 105-125
    3. Carlos Ramisch
      Pages 127-155
  5. Applications

    1. Front Matter
      Pages 157-157
    2. Carlos Ramisch
      Pages 159-179
    3. Carlos Ramisch
      Pages 181-199
    4. Carlos Ramisch
      Pages 201-205
  6. Back Matter
    Pages 207-230

About this book


This book is an excellent introduction to multiword expressions. It provides a unique, comprehensive and up-to-date overview of this exciting topic in computational linguistics. The first part describes the diversity and richness of multiword expressions, including many examples in several languages. These constructions are not only complex and arbitrary, but also much more frequent than one would guess, making them a real nightmare for natural language processing applications. 

The second part introduces a new generic framework for automatic acquisition of multiword expressions from texts. Furthermore, it describes the accompanying free software tool, the mwetoolkit, which comes in handy when looking for expressions in texts (regardless of the language). Evaluation is greatly emphasized, underlining the fact that results depend on parameters like corpus size, language, MWE type, etc. The last part contains solid experimental results and evaluates the mwetoolkit, demonstrating its usefulness for computer-assisted lexicography and machine translation.

This is the first book to cover the whole pipeline of multiword expression acquisition in a single volume. It is addresses the needs of students and researchers in computational and theoretical linguistics, cognitive sciences, artificial intelligence and computer science. Its good balance between computational and linguistic views make it the perfect starting point for anyone interested in multiword expressions, language and text processing in general.


Collocation Collocation extraction MWE Multiword expression Multiword expression acquisition Mwetoolkit

Authors and affiliations

  1. 1.Aix Marseille UniversityMarseilleFrance

About the authors

Carlos Ramisch is a researcher and lecturer at the Aix-Marseille University (France). He holds a double PhD in computer science from Grenoble University (France) and UFRGS (Brazil). His research interests are multiword expressions, semantics and multilingualism. Carlos coordinated many events, including the MWE workshops (2010, 2011, 2013) and the ACM TSLP special issue. He is the creator and developer of the mwetoolkit.

Bibliographic information


“The motivating idea behind this work is to explore and compare approaches to MWE, involving various tools as well as human resources. … Much information is given to enable other researchers to investigate MWEs. The book contains a vast amount of information. … An extensive bibliography follows each chapter. There are helpful appendices, including a list of standard part of speech tags.” (Alice Davison, Computing Reviews, September, 2015)