| Presentation | 2001/10/10 Word Translation Based on Machine Learning Models Using Translation Memory and Corpora Kiyotaka UCHIMOTO, Satoshi SEKINE, Masaki MURATA, Hiroshi ISAHARA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The second contest on word sensedisambiguation, SENSEVAL-2, was held in Spring, 2001. It consists of several tasks in various languages. In this paper, we describe our system that is used for one of these tasks: the Japanese translation task. In this task, senses of a word are defined in terms of the word's translations. Given an input sentence and a target word in the sentence, our system first estimates the similarity between the input sentence and parallel example sets called translation memory. It then selects an appropriate translation of the target word by using the example set with the highest similarity. The similarity is calculated using dynamic programming and a machine learning model which uses the following features: similarity of a string, words to the left and to the right of the target word in the input sentence, content words in the input sentence and their translations, and cooccurrence of content words in bilingual and monolingual corpora in English and Japanese. Our system achieves an accuracy of 63.4%, finishing the contest in third place among nine systems developed by seven groups. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Translation memory / Corpus / Similarity / Machine learning / Word translation |
| Paper # | NLC 2001-41 |
| Date of Issue |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2001/10/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Word Translation Based on Machine Learning Models Using Translation Memory and Corpora |
| Sub Title (in English) | |
| Keyword(1) | Translation memory |
| Keyword(2) | Corpus |
| Keyword(3) | Similarity |
| Keyword(4) | Machine learning |
| Keyword(5) | Word translation |
| 1st Author's Name | Kiyotaka UCHIMOTO |
| 1st Author's Affiliation | Communications Research Laboratory() |
| 2nd Author's Name | Satoshi SEKINE |
| 2nd Author's Affiliation | New York University |
| 3rd Author's Name | Masaki MURATA |
| 3rd Author's Affiliation | Communications Research Laboratory |
| 4th Author's Name | Hiroshi ISAHARA |
| 4th Author's Affiliation | Communications Research Laboratory |
| Date | 2001/10/10 |
| Paper # | NLC 2001-41 |
| Volume (vol) | vol.101 |
| Number (no) | 351 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |