• Home
  1. Home
  2. Adaptive String Distance Measures for Bilingual Dialect Lexicon Induction
Proceedings chapter
OA Policy
English

Adaptive String Distance Measures for Bilingual Dialect Lexicon Induction

Contributors

Scherrer, Yves

Presented at

Prague, 2007

Published in

Proceedings of the ACL 2007 Student Research Workshop, p. 55-60

Publication date

2007

Abstract

This paper compares different measures of graphemic similarity applied to the task of bilingual lexicon induction between a Swiss German dialect and Standard German. The measures have been adapted to this particular language pair by training stochastic transducers with the Expectation-Maximisation algorithm or by using hand-made transduction rules. These adaptive metrics show up to 11% F-measure improvement over a static metric like Levenshtein distance.

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

SCHERRER, Yves. Adaptive String Distance Measures for Bilingual Dialect Lexicon Induction. In: Proceedings of the ACL 2007 Student Research Workshop. Prague. [s.l.] : [s.n.], 2007. p. 55–60.

Main files (1)

Proceedings chapter

Identifiers

  • PID : unige:4699
608views
458downloads

Technical informations

Creation

23/12/2009 08:30:00

First validation

23/12/2009 08:30:00

Update

14/03/2023 15:19:45

Status update

14/03/2023 15:19:45

Last indexation

29/10/2024 12:48:49
All rights reserved by Archive ouverte UNIGE and the University of Geneva
OpenAIRE Indexed & Validated