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Review evaluates automated parts-of-speech tagging methods in computational linguistics, highlighting trade-offs between corpus-based and non-corpus-based disambiguation approaches.
Developing an automatic parts-of-speech (POS) tagging for any new language is considered a necessary step for further computational linguistics methodology beyond tagging, like chunking and parsing, to be fully applied to the language. Many POS disambiguation technologies have been developed for this type of research and there are factors that influence the choice of choosing one. This could be either corpus-based or non-corpus-based. In this paper, we present a review of POS tagging technologies.
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Ikechukwu et al. (2022) studied this question.
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