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Keyword: Under-resourced languagesOpen AccessArticle
7 Pages, 253 KB 
A Review of Natural Language Processing Techniques in Under-Resourced Languages
Abstract:
Natural language processing (NLP) techniques have transformed a number of tasks in the modern age of information explosion where millions of gigabytes of data are generated every day. Despite achieving state-of-the-art performance in high-resource languages, current techniques struggle with processing under-resourced languages which are characterized by data scarcity, linguistic diversity, computational limitations, ambiguity of language…
Read More(This article belongs to Section Interdisciplinary Applications of Computer Science (CSI))