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The Role of Diacritics in Designing Lexical Recognition Tests for Arabic
Author(s) -
Osama Hamed,
Torsten Zesch
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.10.100
Subject(s) - computer science , vocabulary , arabic , natural language processing , test (biology) , artificial intelligence , selection (genetic algorithm) , word (group theory) , word recognition , speech recognition , linguistics , reading (process) , philosophy , paleontology , biology
Lexical recognition tests are widely used to assess vocabulary knowledge. We investigate the role that diacritics play in designing an Arabic lexical recognition test. We compare a non-diacritized and a diacritized test in a user study and find that they are largely comparable in their ability to assess vocabulary proficiency. However, we argue that diacritized tests are better suited to control the test difficulty by allowing better nonwords and a more targeted selection of word forms.

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