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

Result code in 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>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Machine Translation with Significant Word Reordering and Rich Target-Side Morphology
Original language description
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
Czech name
—
Czech description
—

Project
<a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)