Translation Competence in Machines: A Study of Adjectives in English-Swedish Translation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10442299" target="_blank" >RIV/00216208:11320/21:10442299 - 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

Translation Competence in Machines: A Study of Adjectives in English-Swedish Translation

Original language description

Recent improvements in neural machine translation calls for increased efforts on qualitative evaluations so as to get a better understanding of differences in translation competence between human and machine. This paper reports the results of a study of 1170 adjectives in translation from English to Swedish, using the Parallel Universal Dependencies Treebanks for these languages. The comparison covers two dimensions: the types of solutions employed and the incidence of debatable or incorrect translations. It is found that the machine translation uses all of the solution types that the human translation does, but in different proportions and less competently

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

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Continuities

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Publication year

2021

Confidentiality

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

Article name in the collection

Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age

ISBN

978-91-7929-613-1

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

57-65

Publisher name

Association for Computational Linguistics

Place of publication

Stroudsburg

Event location

Saarbrücken

Event date

May 31, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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