| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 02053 | |
| Number of page(s) | 5 | |
| Section | Part 2: Internet +, Big data and Flexible manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201710002053 | |
| Published online | 08 March 2017 | |
Method of Word Segmentation in Laos Based on Maximal Matching of Syllables
1 School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
2 The Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
Word segmentation is an important support of semantic analysis, Machine Translation, QA, knowledge mapping research work, mainly used in information retrieval, text processing, data processing and many other areas of Natural Language Processing. Therefore, the realization of word segmentation is a very meaningful work. The method of this paper is to segment the syllables of the text corpus of Lao language and complete the maximal matching of syllables and dictionaries. Then match the results of the word segmentation and the error dictionary, and correct some wrong words by the error dictionary. Finally, we use regular expressions to match the corresponding word strings in segmentation results and correct the wrong words by some artificially formulated rules of the alphabet, numbers, etc. in the Lao language. It can improve the efficiency and accuracy rate of Laos Word Segmentation.
Key words: Word segmentation / the maximal matching / Syllable segmentation
© The Authors, published by EDP Sciences, 2017
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