Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10107935" target="_blank" >RIV/00216208:11320/11:10107935 - 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

Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation

Original language description

Flat noun phrase structure was, up until recently, the standard in annotation for the Penn Treebanks. With the recent addition of internal noun phrase annotation, dependency parsing and applications down the NLP pipeline are likely affected. Some machinetranslation systems, such as TectoMT, use deep syntax as a language transfer layer. It is proposed that changes to the noun phrase dependency parse will have a cascading effect down the NLP pipeline and in the end, improve machine translation output, even with a reduction in parser accuracy that the noun phrase structure might cause. This paper examines this noun phrase structure's effect on dependency parsing, in English, with a maximum spanning tree parser and shows a 2.43%, 0.23 Bleu score, improvement for English to Czech machine translation.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

AI - Linguistics

OECD FORD branch

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Project

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Continuities

R - Projekt Ramcoveho programu EK

Publication year

2011

Confidentiality

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

Article name in the collection

Proceedings of the ACL 2011 Student Session

ISBN

978-1-932432-89-3

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

69-74

Publisher name

Association for Computational Linguistics

Place of publication

Portland, OR, USA

Event location

Portland, OR, USA

Event date

Jun 19, 2011

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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