用任务驱动方法拆解新加坡英语语气词，提升语义理解与翻译效果
Disentangling Singlish Discourse Particles with Task-Driven Representation
- 通过任务驱动表征学习分离新加坡英语语气词
- 聚类分析揭示三类语气词的语用功能差异
- 为新加坡英语翻译和语言研究提供新工具
新加坡英语（Singlish）是一种源于东南亚国家新加坡的以英语为基础的克里奥尔语，受华语方言、马来语、泰米尔语等影响。理解其话语语气词（lah, meh, hor）的语用功能是掌握该语言的关键。本文首次尝试通过任务驱动的表征学习对这些语气词进行解耦，分离后进行聚类以区分其语用功能，并应用于新加坡英语到英文的机器翻译。该工作为理解新加坡英语语气词提供了计算方法，推动了对该语言及其使用方式的深入认知。
原文摘要 · Abstract (English)
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.
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