By the same authors

Building Dialectal Arabic Corpora

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

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Title of host publicationThe First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT)
DatePublished - 7 Sep 2017
Pages52-57
Number of pages6
Original languageEnglish

Abstract

The aim of this research is to identify local Arabic dialects in texts from social media (Twitter) and link them to specific geographic areas. Dialect identification is studied as a subset of the task of language identification. The proposed method is based on unsupervised learning using simultaneously lexical and geographic distance. While this study focusses on Libyan dialects, the approach is general, and could produce resources to support human translators and interpreters when dealing with vernaculars rather than standard Arabic.

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