Machine Translation with Significant Word Reordering and Rich Target-Side Morphology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10107939" target="_blank" >RIV/00216208:11320/11:10107939 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Machine Translation with Significant Word Reordering and Rich Target-Side Morphology

Popis výsledku v původním jazyce

This paper describes the integration of morpho-syntactic information in phrase-based and syntax-based Machine Translation systems. We mainly focus on translating in the hard direction which is translating from morphologically poor to morphologically richer languages and also between language pairs that have significant word order differences. We intend to use hierarchical or surface syntactic models for languages of large vocabulary size and improve the translation quality using two-step approach citep{fraser}. The two-step scheme basically reduces the complexity of hypothesis construction and selection by separating the task of source-to-target reordering from the task of generating fully inflected target-side word forms. In the first step, reordering is performed on the source data to make it structurally similar to the target language and in the second step, lemmatized target words are mapped to fully inflected target words. We will first introduce the reader to the detailed archit

Název v anglickém jazyce

Machine Translation with Significant Word Reordering and Rich Target-Side Morphology

Popis výsledku anglicky

This paper describes the integration of morpho-syntactic information in phrase-based and syntax-based Machine Translation systems. We mainly focus on translating in the hard direction which is translating from morphologically poor to morphologically richer languages and also between language pairs that have significant word order differences. We intend to use hierarchical or surface syntactic models for languages of large vocabulary size and improve the translation quality using two-step approach citep{fraser}. The two-step scheme basically reduces the complexity of hypothesis construction and selection by separating the task of source-to-target reordering from the task of generating fully inflected target-side word forms. In the first step, reordering is performed on the source data to make it structurally similar to the target language and in the second step, lemmatized target words are mapped to fully inflected target words. We will first introduce the reader to the detailed archit

Druh

D - Stať ve sborníku

CEP obor

AI - Jazykověda

OECD FORD obor

—

Projekt

<a href="/cs/project/LC536" target="_blank" >LC536: Centrum komputační lingvistiky</a><br>

Návaznosti

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

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

WDS'11 Proceedings of Contributed Papers, Part I

ISBN

978-80-7378-184-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

161-166

Název nakladatele

Matfyzpress

Místo vydání

Praha, Czechia

Místo konání akce

Praha, Czechia

Datum konání akce

31. 5. 2011

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—