| Presentation | 2013-09-13 Unsupervised word segmentation by enumerating maximal substrings Yuta KAWACHI, Masato INOUE, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Unsupervised word segmentation is a method for estimating word boundaries from a given sentence itself, without any word delimiters, using rules depending on some specific languages, or man-made dictionaries. It is used to segment words in languages that have no word delimiters, such as Japanese, and aims to simulate the human's language acquisition. In this research, we propose a deterministic searching approach using maximal substrings based on a generative model of sentence. We evaluate the algorithm by using phonemic transcripts in English as an unknown language, which is a sentence that is widely used for evaluating the segmentation methods in this field. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | word segmentation / maximal substrings / language aquisition / generative model |
| Paper # | NLC2013-25 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2013/9/5(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) | Unsupervised word segmentation by enumerating maximal substrings |
| Sub Title (in English) | |
| Keyword(1) | word segmentation |
| Keyword(2) | maximal substrings |
| Keyword(3) | language aquisition |
| Keyword(4) | generative model |
| 1st Author's Name | Yuta KAWACHI |
| 1st Author's Affiliation | Department of Electrical Engineering and Bioscience, Graduate School of Advanced Science and Engineering, Waseda University() |
| 2nd Author's Name | Masato INOUE |
| 2nd Author's Affiliation | Department of Electrical Engineering and Bioscience, Graduate School of Advanced Science and Engineering, Waseda University |
| Date | 2013-09-13 |
| Paper # | NLC2013-25 |
| Volume (vol) | vol.113 |
| Number (no) | 213 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |