| Presentation | 2001/7/9 Improvement of POS tagger and KanaKanji Converter by an Untagged Corpus Shinsuke Mori, Nobuyasu Itoh, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A tagged corpus plays an importantrole in natural language processing based on a stochastic language model and increasing the corpus size improves the accuracy. It is, however, necessary for a meaningful improvement to increase a corpus size more than expornentially and an annotation cost needed for it is not negligiable. In this paper, we discuss the usage of an untagged corpus. In the experiments, using an untagged corpus improved the predictive power of a stochastic language model and the accuracy of a kana-kanji converter based on it. But for a tagger the improvement was slight. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kana-kanji converter / Stochastic Language Model / Corpus / Morphological analysis / Untagged |
| Paper # | NLC2001-15 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2001/7/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of POS tagger and KanaKanji Converter by an Untagged Corpus |
| Sub Title (in English) | |
| Keyword(1) | Kana-kanji converter |
| Keyword(2) | Stochastic Language Model |
| Keyword(3) | Corpus |
| Keyword(4) | Morphological analysis |
| Keyword(5) | Untagged |
| 1st Author's Name | Shinsuke Mori |
| 1st Author's Affiliation | Tokyo Research Laboratory, IBM Japan() |
| 2nd Author's Name | Nobuyasu Itoh |
| 2nd Author's Affiliation | Tokyo Research Laboratory, IBM Japan |
| Date | 2001/7/9 |
| Paper # | NLC2001-15 |
| Volume (vol) | vol.101 |
| Number (no) | 189 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |