Word segmentation for Vietnamese, like for most Asian languages, is an important task
which has a significant impact on higher language processing levels. However, it has …

This study reports the development of a Myanmar word segmentation method using Unicode
standard encoding. Word segmentation is an essential step prior to natural language …

Word segmentation is one of the most important tasks in NLP. This task, within Vietnamese
language and its own features, faces some challenges, especially in words boundary …

This paper presents an ontology-based health care information extraction system-VnHIES.
In the system, we develop and use two effective algorithms called" semantic elements …

Ce papier présente un modèle d'indexation sémantique adapté aux dossiers électroniques
de patients. Ce modèle servira de support à des processus de recherche d'information …

In the context of the ongoing forth industrial revolution and fast computer science
development the amount of textual information becomes huge. So, prior to applying the …

Text segmentation is the process of recognizing boundaries of text constituents, such as
sentences, phrases and words. This paper focuses on phrase segmentation also known as …

There are two main topics in this paper:(i) Vietnamese words are recognized and sentences
are segmented into words by using probabilistic models;(ii) the optimum probabilistic model …

Text Simplification has been an extensively researched problem in English, but has not
been investigated in Vietnamese. We focus on the Vietnamese-specific Complex Word …

Abstract Word Segmentation or Tokenization is the process of determining the best likely
sequence of words from a sequence of text. For Thai language, word segmentation is not a …