PhraseFix: Statistical Post-Editing of TectoMT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194638" target="_blank" >RIV/00216208:11320/13:10194638 - 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
PhraseFix: Statistical Post-Editing of TectoMT
Original language description
We present two English-to-Czech systems that took part in the WMT 2013 shared task: TectoMT and PhraseFix. The former is a deep-syntactic transfer-based system, the latter is a more-or-less standard statistical post-editing (SPE) applied on top of TectoMT. In a brief survey, we put SPE in context with other system combination techniques and evaluate SPE vs. another simple system combination technique: using synthetic parallel data from TectoMT to train a statistical MT system (SMT). We confirm that PhraseFix (SPE) improves the output of TectoMT, and we use this to analyze errors in TectoMT. However, we also show that extending data for SMT is more effective.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Proceedings of the Eight Workshop on Statistical Machine Translation
ISBN
978-1-937284-57-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
141-147
Publisher name
Association for Computational Linguistics
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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