A Metric for Example Matching in Example-Based Machine Translation
- Title
- A Metric for Example Matching in Example-Based Machine Translation
- Author
- 김한우
- Keywords
- example matching; example-based machine translation; edit-distance; edit-score; contiguity information
- Issue Date
- 2006-06
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E89A, No. 6, Page. 1713-1716
- Abstract
- This paper proposes a metric for example matching under the example-based machine translation. Our metric served as similarity measure is employed to retrieve the most similar examples to a given query. Basically it makes use of simple information such as lemma and part-of-speech information of typographically mismatched words. In addition, it uses the contiguity information of matched word units to catch the full context. Finally we show the results for the correctness of the proposed metric.
- URI
- https://search.ieice.org/bin/summary.php?id=e89-a_6_1713https://repository.hanyang.ac.kr/handle/20.500.11754/108117
- ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.6.1713
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML