Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish

Big data analysis such as user-generated content and specifically online consumer reviews has attracted considerable attention in recent years due to its numerous research opportunities and commercial applications in almost all fields of knowledge. The origin of this digital genre in the oral tradi...

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Main Author: Miguel Ángel Candel-Mora
Format: Article
Language:Catalan
Published: Universitat de València 2022-12-01
Series:Quaderns de Filologia: Estudis Lingüístics
Subjects:
Online Access:https://turia.uv.es/index.php/qfilologia/article/view/24667
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author Miguel Ángel Candel-Mora
author_facet Miguel Ángel Candel-Mora
author_sort Miguel Ángel Candel-Mora
collection DOAJ
description Big data analysis such as user-generated content and specifically online consumer reviews has attracted considerable attention in recent years due to its numerous research opportunities and commercial applications in almost all fields of knowledge. The origin of this digital genre in the oral tradition highlights the spontaneous features of the spoken language that are reflected in the written text that has its own characteristics depending on the user’s culture and language. By comparing a corpus of 2,000 reviews, this paper proposes the identification and analysis of the unique characteristics of this new digital genre to determine the behavior of machine translation of users' reviews into Spanish. Thus, the aim of this work is to study the tourism reviews translated into Spanish and identify how MT handles the main characteristics that confer naturalness and credibility to this genre.
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publishDate 2022-12-01
publisher Universitat de València
record_format Article
series Quaderns de Filologia: Estudis Lingüístics
spelling doaj-art-4c3dcdb5cfca4210abe275404662c41b2025-08-20T01:54:55ZcatUniversitat de ValènciaQuaderns de Filologia: Estudis Lingüístics1135-416X2444-14492022-12-012710.7203/qf.0.24667Big data to assess genre-specific features of the machine translation output of online travel reviews in SpanishMiguel Ángel Candel-Mora0https://orcid.org/0000-0001-8754-6046<p>Universitat Polit&egrave;cnica de Val&egrave;ncia</p> Big data analysis such as user-generated content and specifically online consumer reviews has attracted considerable attention in recent years due to its numerous research opportunities and commercial applications in almost all fields of knowledge. The origin of this digital genre in the oral tradition highlights the spontaneous features of the spoken language that are reflected in the written text that has its own characteristics depending on the user’s culture and language. By comparing a corpus of 2,000 reviews, this paper proposes the identification and analysis of the unique characteristics of this new digital genre to determine the behavior of machine translation of users' reviews into Spanish. Thus, the aim of this work is to study the tourism reviews translated into Spanish and identify how MT handles the main characteristics that confer naturalness and credibility to this genre. https://turia.uv.es/index.php/qfilologia/article/view/24667Machine translationpost-editingconsumer generated contentbig datatourism reviews.
spellingShingle Miguel Ángel Candel-Mora
Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish
Quaderns de Filologia: Estudis Lingüístics
Machine translation
post-editing
consumer generated content
big data
tourism reviews.
title Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish
title_full Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish
title_fullStr Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish
title_full_unstemmed Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish
title_short Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish
title_sort big data to assess genre specific features of the machine translation output of online travel reviews in spanish
topic Machine translation
post-editing
consumer generated content
big data
tourism reviews.
url https://turia.uv.es/index.php/qfilologia/article/view/24667
work_keys_str_mv AT miguelangelcandelmora bigdatatoassessgenrespecificfeaturesofthemachinetranslationoutputofonlinetravelreviewsinspanish