Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194639" target="_blank" >RIV/00216208:11320/13:10194639 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers
Original language description
Dependency parsers are almost ubiqui- tously evaluated on their accuracy scores, these scores say nothing of the complex- ity and usefulness of the resulting struc- tures. The structures may have more com- plexity due to their coordination structure or attachment rules. As dependency parses are basic structures in which other systems are built upon, it would seem more reason- able to judge these parsers down the NLP pipeline. We show results from 7 individual parsers, including dependency and constituent parsers, and 3 ensemble parsing tech- niques with their overall effect on a Ma- chine Translation system, Treex, for En- glish to Czech translation. We show that parsers' UAS scores are more correlated to the NIST evaluation metric than to the BLEU Metric, however we see increases in both metrics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Second Workshop on Hybrid Approaches to Translation
ISBN
978-1-937284-63-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
19-24
Publisher name
Omnipress, Inc.
Place of publication
Sofija, Bulgaria
Event location
Sofija, Bulgaria
Event date
Aug 8, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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