No Free Lunch in Factored Phrase-Based Machine Translation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194815" target="_blank" >RIV/00216208:11320/13:10194815 - isvavai.cz</a>
Result on the web
<a href="http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-642-37255-1" target="_blank" >http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-642-37255-1</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
No Free Lunch in Factored Phrase-Based Machine Translation
Original language description
Factored models have been successfully used in many language pairs to improve translation quality in various aspects. In this work, we analyze this paradigm in an attempt at automating the search for well-performing machine translation systems. We examine the space of possible factored systems, concluding that a fully automatic search for good configurations is not feasible. We demonstrate that even if results of automatic evaluation are available, guiding the search is difficult due to small differences between systems, which are further blurred by randomness in tuning. We describe a heuristic for estimating the complexity of factored models. Finally, we discuss the possibilities of a "semi-automatic" exploration of the space in several directions andevaluate the obtained systems.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP406%2F11%2F1499" target="_blank" >GAP406/11/1499: Czech in the Machine Translation Era (CZECHMATE)</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
Name of the periodical
Lecture Notes in Computer Science
ISSN
0302-9743
e-ISSN
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Volume of the periodical
7817
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
210-223
UT code for WoS article
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EID of the result in the Scopus database
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