Product and Process Analysis of Machine Translation into the Inflectional Language

This study focuses on the influence of quality of Machine Translation (MT) output on a translator’s performance. We analyze the translator’s effort by product analysis and process analysis. The product analysis consists of MT quality evaluation according to the Dynamic Quality Framework; using error...

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Autores principales:	Dasa Munkova, Michal Munk, Katarina Welnitzova, Johanna Jakabovicova
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
Acceso en línea:	https://doaj.org/article/0779fa56b4b64b82aa4bba1682c96c36
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spelling	oai:doaj.org-article:0779fa56b4b64b82aa4bba1682c96c362021-12-02T02:03:36ZProduct and Process Analysis of Machine Translation into the Inflectional Language2158-244010.1177/21582440211054501https://doaj.org/article/0779fa56b4b64b82aa4bba1682c96c362021-11-01T00:00:00Zhttps://doi.org/10.1177/21582440211054501https://doaj.org/toc/2158-2440This study focuses on the influence of quality of Machine Translation (MT) output on a translator’s performance. We analyze the translator’s effort by product analysis and process analysis. The product analysis consists of MT quality evaluation according to the Dynamic Quality Framework; using error typology and the criteria such as fluency and adequacy. We examine translator’s effort from the point of view of typing time, in the context of MT quality—focusing on error rate in language, accuracy, terminology, and style, and also in fluency and adequacy to the source text. We have found that the translator’s performance is influenced by MT quality. The typing time is very closely related to errors in language, accuracy, terminology, and style as well as to fluency and adequacy. We used the Mann-Whitney test to compare the productivity of post-editing of MT with human translation. The results of the study have shown that post-editing—compared to human translation of journalistic text from English into the inflectional Slovak language is more effective.Dasa MunkovaMichal MunkKatarina WelnitzovaJohanna JakabovicovaSAGE PublishingarticleHistory of scholarship and learning. The humanitiesAZ20-999Social SciencesHENSAGE Open, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
spellingShingle	History of scholarship and learning. The humanities AZ20-999 Social Sciences H Dasa Munkova Michal Munk Katarina Welnitzova Johanna Jakabovicova Product and Process Analysis of Machine Translation into the Inflectional Language
description	This study focuses on the influence of quality of Machine Translation (MT) output on a translator’s performance. We analyze the translator’s effort by product analysis and process analysis. The product analysis consists of MT quality evaluation according to the Dynamic Quality Framework; using error typology and the criteria such as fluency and adequacy. We examine translator’s effort from the point of view of typing time, in the context of MT quality—focusing on error rate in language, accuracy, terminology, and style, and also in fluency and adequacy to the source text. We have found that the translator’s performance is influenced by MT quality. The typing time is very closely related to errors in language, accuracy, terminology, and style as well as to fluency and adequacy. We used the Mann-Whitney test to compare the productivity of post-editing of MT with human translation. The results of the study have shown that post-editing—compared to human translation of journalistic text from English into the inflectional Slovak language is more effective.
format	article
author	Dasa Munkova Michal Munk Katarina Welnitzova Johanna Jakabovicova
author_facet	Dasa Munkova Michal Munk Katarina Welnitzova Johanna Jakabovicova
author_sort	Dasa Munkova
title	Product and Process Analysis of Machine Translation into the Inflectional Language
title_short	Product and Process Analysis of Machine Translation into the Inflectional Language
title_full	Product and Process Analysis of Machine Translation into the Inflectional Language
title_fullStr	Product and Process Analysis of Machine Translation into the Inflectional Language
title_full_unstemmed	Product and Process Analysis of Machine Translation into the Inflectional Language
title_sort	product and process analysis of machine translation into the inflectional language
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/0779fa56b4b64b82aa4bba1682c96c36
work_keys_str_mv	AT dasamunkova productandprocessanalysisofmachinetranslationintotheinflectionallanguage AT michalmunk productandprocessanalysisofmachinetranslationintotheinflectionallanguage AT katarinawelnitzova productandprocessanalysisofmachinetranslationintotheinflectionallanguage AT johannajakabovicova productandprocessanalysisofmachinetranslationintotheinflectionallanguage
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Product and Process Analysis of Machine Translation into the Inflectional Language

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