End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440543" target="_blank" >RIV/00216208:11320/21:10440543 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2021.acl-long.311" target="_blank" >https://aclanthology.org/2021.acl-long.311</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/2021.acl-long.311" target="_blank" >10.18653/v1/2021.acl-long.311</a>

Result language

angličtina

Original language name

End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages

Original language description

Lexically constrained machine translation allows the user to manipulate the output sentence by enforcing the presence or absence of certain words and phrases. Although current approaches can enforce terms to appear in the translation, they often struggle to make the constraint word form agree with the rest of the generated output. Our manual analysis shows that 46% of the errors in the output of a baseline constrained model for English to Czech translation are related to agreement. We investigate mechanisms to allow neural machine translation to infer the correct word inflection given lemmatized constraints. In particular, we focus on methods based on training the model with constraints provided as part of the input sequence. Our experiments on the English-Czech language pair show that this approach improves the translation of constrained terms in both automatic and manual evaluation by reducing errors in agreement. Our approach thus eliminates inflection errors, without introducing new errors or decr

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

Continuities

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

Publication year

2021

Confidentiality

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

Article name in the collection

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing

ISBN

978-1-954085-52-7

ISSN

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e-ISSN

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Number of pages

15

Pages from-to

4019-4033

Publisher name

Association for Computational Linguistics

Place of publication

Stroudsburg, PA, USA

Event location

Online

Event date

Aug 2, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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