mlsanityData to 14 Oct 2026

Disentangling Singlish Discourse Particles with Task-Driven Representation

arXiv 2409.20366 ↗First posted 30 Sep 2024cs.CLcited by 5

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Abstract (arXiv)

Singlish, or formally Colloquial Singapore English, is an English-based creole language originating from the SouthEast Asian country Singapore. The language contains influences from Sinitic languages such as Chinese dialects, Malay, Tamil and so forth. A fundamental task to understanding Singlish is to first understand the pragmatic functions of its discourse particles, upon which Singlish relies heavily to convey meaning. This work offers a preliminary effort to disentangle the Singlish discourse particles (lah, meh and hor) with task-driven representation learning. After disentanglement, we cluster these discourse particles to differentiate their pragmatic functions, and perform Singlish-to-English machine translation. Our work provides a computational method to understanding Singlish discourse particles, and opens avenues towards a deeper comprehension of the language and its usage.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 7 of its 26 references that are in the map. First posted on arXiv 30 Sep 2024.

Builds on

7 of 26 references.

References · 7

  1. 2017Attention Is All You Needcited by 60,361
  2. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  3. 2021BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Banglacited by 125
  4. 2020Extending Multilingual BERT to Low-Resource Languagescited by 88
  5. 2022Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltesecited by 14
  6. 2024Can You Learn Semantics Through Next-Word Prediction? The Case of Entailmentcited by 9
  7. 2021Extremely low-resource machine translation for closely related languagescited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 2; 2026: 1.

5 papers.