Towards Optimal Choice Selection for Improved Hybrid Machine Translation

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Towards Optimal Choice Selection for Improved Hybrid Machine Translation

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Towards Optimal Choice Selection for Improved Hybrid Machine Translation

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AI - Jazykověda

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 periodika

The Prague Bulletin of Mathematical Linguistics

ISSN

0032-6585

e-ISSN

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Svazek periodika

97

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

18

Strana od-do

5-22

Kód UT WoS článku

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EID výsledku v databázi Scopus

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