Towards Optimal Choice Selection for Improved Hybrid Machine Translation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10129907" target="_blank" >RIV/00216208:11320/12:10129907 - 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
Towards Optimal Choice Selection for Improved Hybrid Machine Translation
Original language description
In recent years, machine translation (MT) research focused on investigating how hybrid MT as well as MT combination systems can be designed so that the resulting translations give an improvement over the individual translations. As a ?rst step towards achieving this objective we have developed a parallel corpus with source data and the output of a number of MT systems, annotated with metadata information, capturing aspects of the translation process performed by the di?erent MT systems. As a second step, we have organised a shared task in which participants were requested to build Hybrid/System Combination systems using the annotated corpus as input. The main focus of the shared task is trying to answer the following question: Can Hybrid MT algorithmsor System Combination techniques bene?t from the extra information (linguistically motivated, decoding and runtime) from the di?erent systems involved? In this paper, we describe the annotated corpus we have created. We provide an overvie
Czech name
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Czech description
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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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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)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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