Abstract Parts-of-Speech (POS) Tagging is one of the fundamental and pre-processing steps
for Natural Language Processing (NLP) tasks such as Text Summarization, Name Entity …

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 …

Most of the time, students must visit universities or web pages to collect various information
eg semester schedule, grade, curriculum, advisor info, etc. This process is time consuming …

Word segmentation is necessary for many natural language processing, especially Thai
language, that is, unsegmented words. However, wrong segmentation causes terrible …

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 …

Human knowledge is mostly in the form of unstructured text. Text can be transcribed into
various languages such as the Thai language. To extract knowledge from Thai text, natural …

Most existing word segmentation methods output one single segmentation solution. This
paper provides an analysis of word segmentation performance when more than one …

This paper presents an Isarn dialect word segmentation based on a recurrent neural
network. In this study, the Isarn text written in Thai script is taken as input. We explored the …

Distributional semantics in the form of word embeddings are an essential ingredient to many
modern natural language processing systems. The quantification of semantic similarity …

As Homo sapiens, our intelligence distinguishes us from all other animals. For thousands of
years, we have tried to understand how we think and do complicate things. Our intention is …