Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT

Ehsan Doostmohammadi; Minoo Nassajian; Adel Rahimi

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arXiv · 2010.00287

Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT

Ehsan Doostmohammadi·Minoo Nassajian·Adel Rahimi

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Abstract

Words are properly segmented in the Persian writing system; in practice, however, these writing rules are often neglected, resulting in single words being written disjointedly and multiple words written without any white spaces between them. This paper addresses the problems of word segmentation and zero-width non-joiner (ZWNJ) recognition in Persian, which we approach jointly as a sequence labeling problem. We achieved a macro-averaged F1-score of 92.40% on a carefully collected corpus of 500 sentences with a high level of difficulty.

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Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi. 2020-10-28. Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT. https://arxiv.org/abs/2010.00287

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