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Error Types in Natural Language Processing in Inflectional Languages

Error Types in Natural Language Processing in Inflectional Languages
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Author(s): Gregor Donaj (University of Maribor, Slovenia)and Mirjam Sepesy Maučec (University of Maribor, Slovenia)
Copyright: 2021
Pages: 14
Source title: Encyclopedia of Information Science and Technology, Fifth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-7998-3479-3.ch006

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Abstract

This article presents the challenges of natural language processing applications when they are used with inflectional languages. Two typical applications are presented: automatic speech recognition and machine translation. An overview of those applications and the properties of inflectional languages is given as well as examples from the highly inflectional Slovene language. Then, an error classification with examples is given, also with an emphasis on inflectional languages, as well as some directions for further research in this area.

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