Paper: Capturing Out-Of-Vocabulary Words In Arabic Text

ACL ID W06-1631
Title Capturing Out-Of-Vocabulary Words In Arabic Text
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006
Authors

The increasing flow of information be- tween languages has led to a rise in the fre- quency of non-native or loan words, where terms of one language appear transliter- ated in another. Dealing with such out of vocabulary words is essential for suc- cessful cross-lingual information retrieval. For example, techniques such as stemming should not be applied indiscriminately to all words in a collection, and so before any stemming, foreign words need to be iden- tified. In this paper, we investigate three approaches for the identification of foreign words in Arabic text: lexicons, language patterns, and n-grams and present that re- sults show that lexicon-based approaches outperform the other techniques.