| id |
eprints-25373
|
| recordtype |
eprints
|
| institution |
SOAS, University of London
|
| collection |
SOAS Research Online
|
| language |
English
|
| language_search |
English
|
| description |
This paper presents a new approach to two challenging NLP tasks in Classical Tibetan: word segmentation and Part-of-Speech (POS) tagging. We demonstrate how both these problems can be approached in the same way, by generating a memory-based tagger that assigns 1) segmentation tags and 2) POS tags to a test corpus consisting of unsegmented lines of Tibetan characters. We propose a three-stage workflow and evaluate the results of both the segmenting and the POS tagging tasks. We argue that the Memory-Based Tagger (MBT) and the proposed workflow not only provide an adequate solution to these NLP challenges, they are also highly efficient tools for building larger annotated corpora of Tibetan.
|
| format |
Journal Article
|
| author |
Hill, Nathan W.
|
| author_facet |
Hill, Nathan W.
Meelen, Marieke
|
| authorStr |
Hill, Nathan W.
|
| author_letter |
Hill, Nathan W.
|
| author2 |
Meelen, Marieke
|
| author2Str |
Meelen, Marieke
|
| title |
Segmenting and POS tagging Classical Tibetan using a memory-based tagger
|
| publisher |
University of California
|
| publishDate |
2017
|
| url |
https://eprints.soas.ac.uk/25373/
|
