Reusing an ontology to generate numeral classifiers
In this paper, we present a solution to the problem of generating Japanese numeral classifiers using semantic classes from an ontology. Most nouns must take a numeral classifier when they are quantified in languages such as Chinese, Japanese, Korean, Malay and Thai...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/92347 http://hdl.handle.net/10220/6827 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | In this paper, we present a solution to the problem
of generating Japanese numeral classifiers using
semantic classes from an ontology. Most nouns
must take a numeral classifier when they are quantified
in languages such as Chinese, Japanese, Korean,
Malay and Thai. In order to select an appropriate
classifier, we propose an algorithm which associates
classifiers with semantic classes and uses
inheritance to list only those classifiers which have
to be listed. It generates sortal classifiers with an accuracy
of 81%. We reuse the ontology provided by
Goi-Taikei — a Japanese lexicon, and show that it
is a reasonable choice for this task, requiring information
to be entered for less than 6% of individual
nouns. |
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