A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130024" target="_blank" >RIV/00216208:11320/12:10130024 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation

Popis výsledku v původním jazyce

In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations show an improvement over the individual "component" translations. As a ?rst step towards achieving this objective we have developed a parallel corpus with source text and the corresponding translation output from a number of machine translation engines, annotated with metadata information, capturing aspects of the translation process performed by the different MT systems. This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can bene?t from additional(linguistically motivated, decoding, and runtime) information provided by the different systems involved. In this paper, we describe the annotated corpus we have created. We provide an overview on the component MT systems and the XLIFF-ba

Název v anglickém jazyce

A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation

Popis výsledku anglicky

In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations show an improvement over the individual "component" translations. As a ?rst step towards achieving this objective we have developed a parallel corpus with source text and the corresponding translation output from a number of machine translation engines, annotated with metadata information, capturing aspects of the translation process performed by the different MT systems. This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can bene?t from additional(linguistically motivated, decoding, and runtime) information provided by the different systems involved. In this paper, we describe the annotated corpus we have created. We provide an overview on the component MT systems and the XLIFF-ba

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Centrum pro multi-modální interpretaci dat velkého rozsahu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

5

Strana od-do

2189-2193

Název nakladatele

European Language Resources Association

Místo vydání

?stanbul, Turkey

Místo konání akce

?stanbul, Turkey

Datum konání akce

21. 5. 2012

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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