Low-Resource Neural Machine Translation: A Systematic Literature Review
In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource neural machine translation literature. Accord...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10327716/ |
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| author | Bilge Kagan Yazar Durmus Ozkan Sahin Erdal Kilic |
| author_facet | Bilge Kagan Yazar Durmus Ozkan Sahin Erdal Kilic |
| author_sort | Bilge Kagan Yazar |
| collection | DOAJ |
| description | In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource neural machine translation literature. According to the inclusion and exclusion criteria, 45 studies were selected for review. After the relevant studies were identified, three research questions were aimed to be answered. The first research question is to identify the study directions and language pairs used in low-resource neural machine translation. The second research question aims to identify which deep learning methods are used in low-resource neural machine translation and which metrics are used to evaluate these methods. The third research question is to determine the bilingual and monolingual corpora used in the studies and the preferred development environments. In addition, the studies with the most commonly used language pairs were analyzed, and directions for future studies were made. |
| format | Article |
| id | doaj-art-03487a8a756e4848b97196bf1e81cfa0 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-03487a8a756e4848b97196bf1e81cfa02025-02-08T00:00:11ZengIEEEIEEE Access2169-35362023-01-011113177513181310.1109/ACCESS.2023.333601910327716Low-Resource Neural Machine Translation: A Systematic Literature ReviewBilge Kagan Yazar0https://orcid.org/0000-0003-2149-142XDurmus Ozkan Sahin1https://orcid.org/0000-0002-0831-7825Erdal Kilic2https://orcid.org/0000-0003-1585-0991Faculty of Engineering, Ondokuz Mayıs University, Samsun, TurkeyFaculty of Engineering, Ondokuz Mayıs University, Samsun, TurkeyFaculty of Engineering, Ondokuz Mayıs University, Samsun, TurkeyIn this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource neural machine translation literature. According to the inclusion and exclusion criteria, 45 studies were selected for review. After the relevant studies were identified, three research questions were aimed to be answered. The first research question is to identify the study directions and language pairs used in low-resource neural machine translation. The second research question aims to identify which deep learning methods are used in low-resource neural machine translation and which metrics are used to evaluate these methods. The third research question is to determine the bilingual and monolingual corpora used in the studies and the preferred development environments. In addition, the studies with the most commonly used language pairs were analyzed, and directions for future studies were made.https://ieeexplore.ieee.org/document/10327716/Neural machine translationlow resource languagesevaluation criteriadeep learning |
| spellingShingle | Bilge Kagan Yazar Durmus Ozkan Sahin Erdal Kilic Low-Resource Neural Machine Translation: A Systematic Literature Review IEEE Access Neural machine translation low resource languages evaluation criteria deep learning |
| title | Low-Resource Neural Machine Translation: A Systematic Literature Review |
| title_full | Low-Resource Neural Machine Translation: A Systematic Literature Review |
| title_fullStr | Low-Resource Neural Machine Translation: A Systematic Literature Review |
| title_full_unstemmed | Low-Resource Neural Machine Translation: A Systematic Literature Review |
| title_short | Low-Resource Neural Machine Translation: A Systematic Literature Review |
| title_sort | low resource neural machine translation a systematic literature review |
| topic | Neural machine translation low resource languages evaluation criteria deep learning |
| url | https://ieeexplore.ieee.org/document/10327716/ |
| work_keys_str_mv | AT bilgekaganyazar lowresourceneuralmachinetranslationasystematicliteraturereview AT durmusozkansahin lowresourceneuralmachinetranslationasystematicliteraturereview AT erdalkilic lowresourceneuralmachinetranslationasystematicliteraturereview |