Estimating the proximity between languages by their commonality in vocabulary structures

Yves Lepage, Julien Gosme, Adrien Lardilleux

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This article proposes a possible way of measuring proximity between languages: it consists in measuring the commonality of structures between the vocabularies of two languages. Experiments conducted on a multilingual lexicon of nine European languages acquired from the Acquis communautaire confirmed usual knowledge on the closeness or remoteness of these languages.

Original languageEnglish
Title of host publicationHuman Language Technology
Subtitle of host publicationChallenges for Computer Science and Linguistics - 4th Language and Technology Conference, LTC 2009, Revised Selected Papers
Pages127-138
Number of pages12
DOIs
Publication statusPublished - 2011 Apr 4
Event4th Language and Technology Conference, LTC 2009 - Poznan, Poland
Duration: 2009 Nov 62009 Nov 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6562 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th Language and Technology Conference, LTC 2009
CountryPoland
CityPoznan
Period09/11/609/11/8

    Fingerprint

Keywords

  • Proximity between languages
  • analogy between words
  • morphology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lepage, Y., Gosme, J., & Lardilleux, A. (2011). Estimating the proximity between languages by their commonality in vocabulary structures. In Human Language Technology: Challenges for Computer Science and Linguistics - 4th Language and Technology Conference, LTC 2009, Revised Selected Papers (pp. 127-138). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6562 LNAI). https://doi.org/10.1007/978-3-642-20095-3_12