This paper presents a comprehensive review of Thai speech technology, from its impetus in
the early 1960s to 2005. Thai is the official language of Thailand, and is spoken by over 60 …

The improvement of machine translation (MT) for languages such as Thai requires access to
knowledge reported in past and current research. With the distinctive features of several …

Abstract Machine translation (MT), especially Google Translate (GT), is widely used by
language learners and those who need help with translation. MT research, particularly that …

This paper discusses problems of word and sentence segmentation in Thai. Disagreements
on word segmentation are caused mostly from compound words. To set a standard resource …

Existing literature on Thai NLP often focuses on formally written texts with near-perfect
spellings and boundaries between words or sentences. Such assumptions, however, do not …

Thai text-to-speech synthesis (TTS) has been researched and developed for decades.
Several systems have been launched commercially or publicly while the global TTS …

Abstract Previous studies on Thai Sentence Boundary Detection (SBD) mostly assumed
sentence ends at a space disambiguation problem, which classified space either as an …

摘要数字人文概念的提出扩展了古文自动化处理的内涵与外延, 实现古籍文本语义的深层理解
成为首要任务. 因此, 本文重点探索古籍句读识别任务中的语义增强模式, 以提升主流BBiC …

Discovering discourse units in Thai, a language without word and sentence boundaries, is
not a straightforward task due to its high part-of-speech (POS) ambiguity and serial verb …

A sentence is typically treated as the minimal syntactic unit used for extracting valuable
information from a longer piece of text. However, in written Thai, there are no explicit …