Learning translation templates from examples
| dc.citation.epage | 363 | en_US |
| dc.citation.issueNumber | 6 | en_US |
| dc.citation.spage | 353 | en_US |
| dc.citation.volumeNumber | 23 | en_US |
| dc.contributor.author | Güvenır, H. A. | en_US |
| dc.contributor.author | Cıceklı, I. | en_US |
| dc.date.accessioned | 2015-07-28T11:56:36Z | |
| dc.date.available | 2015-07-28T11:56:36Z | en_US |
| dc.date.issued | 1998 | en_US |
| dc.department | Department of Computer Engineering | en_US |
| dc.description.abstract | This paper proposes a mechanism for learning lexical level correspondences between two languages from a set of translated sentence pairs. The proposed mechanism is based on an analogical reasoning between two translation examples. Given two translation examples, the similar parts of the sentences in the source language must correspond to the similar parts of the sentences in the target language. Similarly, the different parts should correspond to the respective parts in the translated sentences. The correspondences between the similarities, and also differences are learned in the form of translation templates. The approach has been implemented and tested on a small training dataset and produced promising results for further investigation. (C) 1998 Elsevier Science Ltd. All rights reserved. Keywords | en_US |
| dc.description.provenance | Made available in DSpace on 2015-07-28T11:56:36Z (GMT). No. of bitstreams: 1 10.1016-S0306-4379(98)00017-9.pdf: 1041839 bytes, checksum: 571e69a7925d436d61403a11829c583e (MD5) | en |
| dc.identifier.doi | 10.1016/S0306-4379(98)00017-9 | en_US |
| dc.identifier.eissn | 1873-6076 | |
| dc.identifier.issn | 0306-4379 | |
| dc.identifier.uri | http://hdl.handle.net/11693/11002 | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.isversionof | https://doi.org/10.1016/S0306-4379(98)00017-9 | en_US |
| dc.source.title | Information Systems | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Machine Translation | en_US |
| dc.subject | Translation Templates | en_US |
| dc.title | Learning translation templates from examples | en_US |
| dc.type | Article | en_US |
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