| Research Title |
A hybrid approach to Lao word segmentation using longest syllable level matching with named entities recognition |
| Date of Distribution |
17 May 2013 |
| Conference |
| Title of the Conference |
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th International Conference on |
| Organiser |
ECTI |
| Conference Place |
Maritime Park & Spa Resort |
| Province/State |
Krabi, Thailand |
| Conference Date |
15 May 2013 |
| To |
17 May 2013 |
| Proceeding Paper |
| Volume |
2013 |
| Issue |
978-1-4799-0546-1 |
| Page |
1 - 5 |
| Editors/edition/publisher |
|
| Abstract |
The Lao language is written without words delimiter which makes it extremely difficult to process. The development of automatic word segmentation for natural language processing for the Lao language is an essential but challenging task. This paper proposes a longest syllable level match with named entities recognition approach for Lao word segmentation. Syllables were first extracted from the input text and then longest matching was applied. This is one of the techniques in the Dictionary Based approach with named entities recognition being used to combine them to form the words. The performance result obtained from this approach, in precision and recall, was 85.21% and 92.36%, respectively. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Abstract |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
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Publication
Journal Publication
ไทย