Machine Translation within One Language as a Paraphrasing Technique

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289361" target="_blank" >RIV/00216208:11320/14:10289361 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Machine Translation within One Language as a Paraphrasing Technique

Original language description

We present a method for improving machine translation (MT) evaluation by targeted paraphrasing of reference sentences. For this purpose, we employ MT systems themselves and adapt them for translating within a single language. We describe this attempt ontwo types of MT systems -- phrase-based and rule-based. Initially, we experiment with the freely available SMT system Moses. We create translation models from two available sources of Czech paraphrases -- Czech WordNet and the Meteor Paraphrase tables. We extended Moses by a new feature that makes the translation targeted. However, the results of this method are inconclusive. In the view of errors appearing in the new paraphrased sentences, we propose another solution -- targeted paraphrasing using parts of a rule-based translation system included in the NLP framework Treex.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 14th conference ITAT 2014

ISBN

978-80-87136-18-8

ISSN

1613-0073

e-ISSN

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Number of pages

6

Pages from-to

1-6

Publisher name

Institute of Computer Science AS CR

Place of publication

Praha, Czechia

Event location

Demänovská Dolina, Slovakia

Event date

Sep 25, 2014

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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