Journal of The College of Liberal Arts and Sciences Tokyo Medical and Dental University
Online ISSN : 2433-359X
Print ISSN : 0386-3492
The Predictability of English Spelling Using a Part-of-Speech Tagging Method
Hiroto Noguchi
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RESEARCH REPORT / TECHNICAL REPORT OPEN ACCESS

2022 Volume 2022 Issue 52 Pages 71-84

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Abstract

This article aims to reveal the reality of English spelling using a method typically employed for morphological analysis or part-of-speech (POS) tagging in natural language processing (NLP). A survey was conducted in which word likelihood and tag sequence probabilities were replaced with letter likelihood and letter sequence probabilities. From the results, this article concludes that it is challenging to predict English spelling from sounds by probability.

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