Automatically Creating a Large Number of New Bilingual Dictionaries

Authors

  • Khang Lam University of Colorado, Colorado Springs
  • Feras Al Tarouti University of Colorado, Colorado Springs
  • Jugal Kalita University of Colorado, Colorado Springs

DOI:

https://doi.org/10.1609/aaai.v29i1.9493

Keywords:

bilingual dictionaries, Wordnets, multilingual

Abstract

This paper proposes approaches to automatically createa large number of new bilingual dictionaries for low resource languages, especially resource-poor and endangered languages, from a single input bilingual dictionary. Our algorithms produce translations of wordsin a source language to plentiful target languages using available Wordnets and a machine translator (MT). Since our approaches rely on just one input dictionary, available Wordnets and an MT, they are applicable toany bilingual dictionary as long as one of the two languagesis English or has a Wordnet linked to the Princeton Wordnet. Starting with 5 available bilingual dictionaries,we create 48 new bilingual dictionaries. Of these, 30 pairs of languages are not supported by the popular MTs: Google and Bing.

AAAI 2015 Proceedings Cover

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Published

2015-02-19

How to Cite

Lam, K., Al Tarouti, F., & Kalita, J. (2015). Automatically Creating a Large Number of New Bilingual Dictionaries. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9493

Issue

Vol. 29 No. 1 (2015): Twenty-Ninth AAAI Conference on Artificial Intelligence

Section

Main Track: NLP and Knowledge Representation