Stochastic language modeling using high linguistic information
| Project/Area Number |
20680008
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
MORI Shinsuke Kyoto University, 学術情報メディアセンター, 准教授 (90456773)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
Fiscal Year 2010: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2009: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2008: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
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| Keywords | 係り受け / 照応・省略 / 確率的言語モデル / 認知科学 / 音声認識 / 点予測 / 部分的アノテーション / 能動学習 / 単語分割 / 係り受け解析 / 仮名漢字変換 / 確率的単語分割 / 確率的タグ付与 |
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| Research Abstract |
First we proposed a pointwise method and realized an improvement of word segmentation. Then we created a corpus consisting of dictionary example sentences and newspaper articles annotated with dependency information. We also proposed stochastic annotation and language model building from a stochastically segmented or tagged corpus.
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Report
(4 results)
Research Products
(42 results)
