Orthographic Syllable as basic unit for SMT between Related Languages
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Abstract (arXiv)
We explore the use of the orthographic syllable, a variable-length consonant-vowel sequence, as a basic unit of translation between related languages which use abugida or alphabetic scripts. We show that orthographic syllable level translation significantly outperforms models trained over other basic units (word, morpheme and character) when training over small parallel corpora.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Oct 2016.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 0; 2026: 2.
7 papers.
- 2021Evaluating Various Tokenizers for Arabic Text Classificationcited by 14
- 2021Alternative Input Signals Ease Transfer in Multilingual Machine Translationcited by 14
- 2023Unicode Normalization and Grapheme Parsing of Indic Languagescited by 1
- 2022LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translationcited by 0
- 2022Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine Translationcited by 0
- 2026IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languagescited by 0
- 2026Type-Driven Tokenization for Brahmic Scriptscited by 0
- 2026Type-Driven Tokenization for Brahmic Scripts21 Aug 2026
- 2026IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages17 Aug 2026
- 2023Unicode Normalization and Grapheme Parsing of Indic Languages11 May 2023
- 2022Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine Translation5 Oct 2022
- 2022LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation28 Feb 2022
- 2021Alternative Input Signals Ease Transfer in Multilingual Machine Translation15 Oct 2021
- 2021Evaluating Various Tokenizers for Arabic Text Classification14 Jun 2021