The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130040" target="_blank" >RIV/00216208:11320/12:10130040 - 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
The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation
Original language description
We describe the "Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation" (ML4HMT) which aims to foster research on improved system combination approaches for machine translation (MT). Participants of the challenge are requested to build hybrid translations by combining the output of several MT systems of different types. We ?rst describe the ML4HMT corpus used in the shared task, then explain the XLIFF-based annotation format we have designedfor it, and brie?y summarize the participating systems. Using both automated metrics scores and extensive manual evaluation, we discuss the individual performance of the various systems. An interesting result from the shared task is the fact that we were able to observe different systems winning according to the automated metrics scores when compared to the results from the manual evaluation. We conclude by summarising the ?rst edition of the challenge and by giving an outlook to future
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/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
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 8th International Conference on Language Resources and Evaluation (LREC 2012)
ISBN
978-2-9517408-7-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3430-3435
Publisher name
European Language Resources Association
Place of publication
?stanbul, Turkey
Event location
?stanbul, Turkey
Event date
May 21, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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