Article
Employing a Multilingual Transformer Model for Segmenting Unpunctuated Arabic Text
2022-08-26
Abstract excerpt
Long unpunctuated texts containing complex linguistic sentences are a stumbling block to processing any low-resource languages. Thus, approaches that attempt to segment lengthy texts with no proper punctuation into simple candidate sentences are a vitally important preprocessing task in many hard-to-solve NLP applications. In this paper, we propose (PDTS) a punctuation detection approach for segmenting Arabic text...
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Identifiers and source
- Literature Corpus work
- 03cee42e-62fe-509a-b715-044a7925118e
- DOI
- 10.20944/preprints202208.0451.v1
