Research on quantitative assessment of translation quality from the perspective of phraseology

Supported by the relevant theories of phraseology, this study examined the translation quality of three genres of explanatory, argumentative, and narrative essays at the phrase level and aimed to construct a translation quality assessment model. In this study, a total of six variables were extracted from both linguistic form and linguistic meaning in strict accordance with the phrase screening criteria, among which the linguistic form features contained a 2-4 gram match degree and the linguistic meaning features contained a part-of-speech tagged 2-4 gram match degree. The results showed that, first, bigram-related variables were the strongest predictors of translation scores for the three genres. The trigram-related variables were slightly weaker, and the fourgram-related variables were the lowest. The bigram match degree had the highest correlation coefficient of .752** with explanatory text translation scores. Second, all translation quality assessment models of the three genres fit well, with the highest correlation coefficient for the explanatory text model, R = 0.820, R2 = 0.673, followed by argumentative text, and the lowest for narrative text. This study realized the automatic assessment of the meaning and form of translations of different genres, which had certain theoretical and practical significance.

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Publication Details

Journal
PLoS ONE
Published
2025-02-13
DOI
https://doi.org/10.1371/journal.pone.0318804
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on quantitative assessment of translation quality from the perspective of phraseology

Beixiang He, Jinquan Wang, Yizhe Wang
PLoS ONE
Natural Language Processing Techniques
article

Research on quantitative assessment of translation quality from the perspective of phraseology

Beixiang He, Jinquan Wang, Yizhe Wang
article en

Abstract

Supported by the relevant theories of phraseology, this study examined the translation quality of three genres of explanatory, argumentative, and narrative essays at the phrase level and aimed to construct a translation quality assessment model. In this study, a total of six variables were extracted from both linguistic form and linguistic meaning in strict accordance with the phrase screening criteria, among which the linguistic form features contained a 2-4 gram match degree and the linguistic meaning features contained a part-of-speech tagged 2-4 gram match degree. The results showed that, first, bigram-related variables were the strongest predictors of translation scores for the three genres. The trigram-related variables were slightly weaker, and the fourgram-related variables were the lowest. The bigram match degree had the highest correlation coefficient of .752** with explanatory text translation scores. Second, all translation quality assessment models of the three genres fit well, with the highest correlation coefficient for the explanatory text model, R = 0.820, R2 = 0.673, followed by argumentative text, and the lowest for narrative text. This study realized the automatic assessment of the meaning and form of translations of different genres, which had certain theoretical and practical significance.

PLoS ONEVol. 20(2)
Rice University (US), Yangzhou University (CN)
Government of Jiangsu Province, National Office for Philosophy and Social Sciences, National Social Science Fund of China
Quality Education
Openalex Percentile: Top 99%
Natural Language Processing Techniques
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