Multilingual generation of numeral classifiers using a common ontology
In this paper, we present a solution to the problem of generating both Japanese and Korean numeral classifiers using semantic classes from an ontology. Most nouns must use a numeral classifier when they are quantified in languages such as Chinese, Japanese, Korean, Mala...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/93706 http://hdl.handle.net/10220/7271 |
| Summary: | In this paper, we present a solution to the problem of generating both Japanese and Korean
numeral classifiers using semantic classes from an ontology. Most nouns must use 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 exceptional classifiers with
individual nouns. The algorithm 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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