The Influence of a Machine Translation System on Sentiment Levels

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AS7XGR5GA" target="_blank" >RIV/00216208:11320/22:S7XGR5GA - isvavai.cz</a>

Výsledek na webu

<a href="https://nlp.fi.muni.cz/raslan/raslan22.pdf#page=211" target="_blank" >https://nlp.fi.muni.cz/raslan/raslan22.pdf#page=211</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Influence of a Machine Translation System on Sentiment Levels

Popis výsledku v původním jazyce

The aim of the paper is to verify the influence of the used machine translation system on the level of sentiment in the translated text from Slovak to English using the available systems Google Translate and DeepL. The experiment was carried out on a parallel corpus created from subtitles of movies of different styles. The raw parallel corpus contained subtitles in Slovak and English. IBM Watson Natural Language Understanding service was used to identify the sentiment in the subtitles of ten movies of different genres. The paper also describes the methodology of preparing the dataset suitable for sentiment analysis using the IBM NLU service. The research showed a high correlation between human text and machine translation of subtitles for both translation systems. The research results show a high level of onsistency of sentiment levels in both forms of translation. Based on the results obtained, the results of sentiment in machine translation can be generalized for the two most widely used translation systems.

Název v anglickém jazyce

The Influence of a Machine Translation System on Sentiment Levels

Popis výsledku anglicky

The aim of the paper is to verify the influence of the used machine translation system on the level of sentiment in the translated text from Slovak to English using the available systems Google Translate and DeepL. The experiment was carried out on a parallel corpus created from subtitles of movies of different styles. The raw parallel corpus contained subtitles in Slovak and English. IBM Watson Natural Language Understanding service was used to identify the sentiment in the subtitles of ten movies of different genres. The paper also describes the methodology of preparing the dataset suitable for sentiment analysis using the IBM NLU service. The research showed a high correlation between human text and machine translation of subtitles for both translation systems. The research results show a high level of onsistency of sentiment levels in both forms of translation. Based on the results obtained, the results of sentiment in machine translation can be generalized for the two most widely used translation systems.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

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Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

RASLAN 2022: Proceedings of the 16th Workshop on Recent Advances in Slavonic Natural Languages Processing

ISBN

978-80-263-1752-4

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

200-208

Název nakladatele

Tribun EU

Místo vydání

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Místo konání akce

Karlova Studánka, Czech Republic

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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