In this paper, we analyze and compare various approaches for Thai word segmentation. The
word segmentation approaches could be classified into two distinct types, dictionary based …

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 …

In this paper, we propose a new approach to construct a system of transformation rules for
the Part-of-Speech (POS) tagging task. Our approach is based on an incremental …

Natural Language Processing task. Morphology is the study of internal structure of the word.
Morphological analysis retrieves the grammatical features and properties of a …

The increasing popularity of social media has a large impact on the evolution of language
usage. The evolution includes the transformation of some existing terms to enhance the …

This paper is based on morphological analyzer using machine learning approach for
complex agglutinative natural languages. Morphological analysis is concerned with …

We explore the impact of morphological segmentation on keyword spotting (KWS). Despite
potential benefits, state-of-the-art KWS systems do not use morphological information. In this …

With the rapidly increasing number of Thai online customer reviews available in social
media and websites, sentiment analysis technique, also called opinion mining, has become …

In this paper, we present our proposed solution to the InterBEST 2009 Thai Word
Segmentation task. We applied the Conditional Random Fields (CRFs) to train word …

We propose ThaiLMCut, a semi-supervised approach for Thai word segmentation which
utilizes a bi-directional character language model (LM) as a way to leverage useful linguistic …