eprintid: 2401
rev_number: 6
eprint_status: archive
userid: 294
dir: disk0/00/00/24/01
datestamp: 2017-01-12 15:55:15
lastmod: 2017-01-12 15:55:15
status_changed: 2017-01-12 15:55:15
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Tuan Phong
creators_name: Le, Anh Cuong
creators_id: tuanphong94@gmail.com
creators_id: cuongla@vnu.edu.vn
title: A hybrid approach to Vietnamese word segmentation
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Word segmentation is the very first task for Vietnamese language processing. Word-segmented text is the input of almost other NLP tasks. This task faces some challenges due to specific characteristics of the language. As in many other Asian languages such as Japanese, Korean and Chinese, white spaces in Vietnamese are not always used as word separators and a word may contain one or more syllables. In this paper, we propose an efficient hybrid approach to detect word boundary for Vietnamese texts using logistic regression as a binary classifier combining with longest matching algorithm. First, longest matching algorithm is used to catch words that contain more than two syllables in input sentence. Next, the system utilizes the classifier to determine the boundary of 2-syllable words and proper names. Then, the predictions having low confidence conducted by the classifier are verified by a dictionary to get the final result. Our system can achieve an F-measure of 98.82% which is the most accurate result for Vietnamese word segmentation to the best of our knowledge. Moreover, the system also has a high speed. It can run word segmentation for nearly 34k tokens per second.
date: 2016-11-07
date_type: published
official_url: http://doi.org/10.1109/RIVF.2016.7800279
id_number: doi:10.1109/RIVF.2016.7800279
full_text_status: none
pres_type: paper
pagerange: 114-119
event_title: The 2016 IEEE RIVF International Conference on Computing and Communication Technologies
event_location: Hanoi, Vietnam
event_dates: 7-9 November 2016
event_type: conference
refereed: TRUE
book_title: 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)
related_url_url: http://ieeexplore.ieee.org/document/7800279/
related_url_type: pub
citation:   Nguyen, Tuan Phong and Le, Anh Cuong  (2016) A hybrid approach to Vietnamese word segmentation.  In: The 2016 IEEE RIVF International Conference on Computing and Communication Technologies, 7-9 November 2016, Hanoi, Vietnam.