Short Text Language Identification for Under Resourced Languages

November 18, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Bernardt Duvenhage arXiv ID 1911.07555 Category cs.CL: Computation & Language Citations 14 Venue arXiv.org Last Checked 4 months ago
Abstract
The paper presents a hierarchical naive Bayesian and lexicon based classifier for short text language identification (LID) useful for under resourced languages. The algorithm is evaluated on short pieces of text for the 11 official South African languages some of which are similar languages. The algorithm is compared to recent approaches using test sets from previous works on South African languages as well as the Discriminating between Similar Languages (DSL) shared tasks' datasets. Remaining research opportunities and pressing concerns in evaluating and comparing LID approaches are also discussed.
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