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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kitani, T. Mitamura, T. |
| Copyright Year | 1993 |
| Description | Author affiliation: Center for Machine Translation, Carnegie Mellon Univ., Pittsburgh, PA, USA (Kitani, T.; Mitamura, T.) |
| Abstract | The authors describe a Japanese preprocessor which includes a morphological analyzer called MAJESTY, and a proper noun identification program. The original morphological analyzer was modified to disambiguate its output when multiple possibilities for segmentations and parts of speech are found. Ambiguous segments are packed locally in the output enabling a syntactic and semantic parser to perform efficiently. Then the proper noun identification program groups several segments constructing a proper noun to present a meaningful set of segments to the parser. Tested on financial news articles, the preprocessor successfully segmented text and tagged parts of speech with greater than 98% accuracy. Over 80% of company names and 90% of personal and place names have been identified.< |
| Starting Page | 86 |
| Ending Page | 92 |
| File Size | 532610 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818638400 |
| DOI | 10.1109/CAIA.1993.366657 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-03-01 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech analysis Natural languages Morphology Testing Artificial intelligence Natural language processing Finance Data analysis Data mining Performance analysis |
| Content Type | Text |
| Resource Type | Article |
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