Tracing machine and human translation errors in some literary texts with some implications for EFL translators.
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| Title: | Tracing machine and human translation errors in some literary texts with some implications for EFL translators. |
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| Authors: | Abdulaal, Mohammad Awad Al-Dawoody1,2 ma.abdulaal@psau.edu.sa |
| Source: | Journal of Language & Linguistics Studies. 2022 Special Issue, Vol. 18, p176-191. 16p. |
| Subject Terms: | *English as a foreign language, *Translators, Machine translating, Literary errors & blunders, Human error, Literature translations |
| Abstract: | This research study aims at drawing a comparison between some internet emerging applications used for machine translation (MT) and a human translation (HT) to two of Alphonse Daudet's short stories: The Siege of Berlin and The Bad Zouave. The automatic translation has been carried out by four MT online applications (i.e. Translate Dict, Yandex, Mem-Source, and Reverso) that have come to light in the wake of COVID-19 breakout; whereas the HT was carried out by Hassouna in 2018. The results revealed that MT and HT made some errors related to (a) polysemy, (b) homonymy, (c) syntactic ambiguities, (d) fuzzy hedges, (e) synonyms, (f) metaphors and symbols. The results also showed that Yandex has dealt with polysemy much better than HT in The Siege of Berlin, but the opposite has been noticed in The Bad Zouave. Another crucial result is that HT has excelled all MT systems in homonymy and syntactic ambiguities in the two literary texts. A final result is that both MT and HT have dealt with fuzzy hedges at similar rates with little supremacy on the part of Reverso; whereas Mem-Source and Translate Dict have dealt with synonyms in the two literary texts much better than HT. The study concluded that EFL learners should be aware of the fact that in spite of the advantageousness of MT systems, their inadequacies should not be overlooked and handled with post-editing. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Language & Linguistics Studies is the property of Journal of Language & Linguistics Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 154938695 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Tracing machine and human translation errors in some literary texts with some implications for EFL translators. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Abdulaal%2C+Mohammad+Awad+Al-Dawoody%22">Abdulaal, Mohammad Awad Al-Dawoody</searchLink><relatesTo>1,2</relatesTo><i> ma.abdulaal@psau.edu.sa</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Language+%26+Linguistics+Studies%22">Journal of Language & Linguistics Studies</searchLink>. 2022 Special Issue, Vol. 18, p176-191. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22English+as+a+foreign+language%22">English as a foreign language</searchLink><br />*<searchLink fieldCode="DE" term="%22Translators%22">Translators</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+translating%22">Machine translating</searchLink><br /><searchLink fieldCode="DE" term="%22Literary+errors+%26+blunders%22">Literary errors & blunders</searchLink><br /><searchLink fieldCode="DE" term="%22Human+error%22">Human error</searchLink><br /><searchLink fieldCode="DE" term="%22Literature+translations%22">Literature translations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This research study aims at drawing a comparison between some internet emerging applications used for machine translation (MT) and a human translation (HT) to two of Alphonse Daudet's short stories: The Siege of Berlin and The Bad Zouave. The automatic translation has been carried out by four MT online applications (i.e. Translate Dict, Yandex, Mem-Source, and Reverso) that have come to light in the wake of COVID-19 breakout; whereas the HT was carried out by Hassouna in 2018. The results revealed that MT and HT made some errors related to (a) polysemy, (b) homonymy, (c) syntactic ambiguities, (d) fuzzy hedges, (e) synonyms, (f) metaphors and symbols. The results also showed that Yandex has dealt with polysemy much better than HT in The Siege of Berlin, but the opposite has been noticed in The Bad Zouave. Another crucial result is that HT has excelled all MT systems in homonymy and syntactic ambiguities in the two literary texts. A final result is that both MT and HT have dealt with fuzzy hedges at similar rates with little supremacy on the part of Reverso; whereas Mem-Source and Translate Dict have dealt with synonyms in the two literary texts much better than HT. The study concluded that EFL learners should be aware of the fact that in spite of the advantageousness of MT systems, their inadequacies should not be overlooked and handled with post-editing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Language & Linguistics Studies is the property of Journal of Language & Linguistics Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 176 Subjects: – SubjectFull: English as a foreign language Type: general – SubjectFull: Translators Type: general – SubjectFull: Machine translating Type: general – SubjectFull: Literary errors & blunders Type: general – SubjectFull: Human error Type: general – SubjectFull: Literature translations Type: general Titles: – TitleFull: Tracing machine and human translation errors in some literary texts with some implications for EFL translators. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abdulaal, Mohammad Awad Al-Dawoody IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 01 Text: 2022 Special Issue Type: published Y: 2022 Identifiers: – Type: issn-print Value: 1305578X Numbering: – Type: volume Value: 18 Titles: – TitleFull: Journal of Language & Linguistics Studies Type: main |
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