A systematic reading in statistical translation: From the statistical machine translation to the neural translation models
Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universiti Utara Malaysia Press
2017
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| Online Access: | https://repo.uum.edu.my/id/eprint/24046/1/JICT%2016%202%202017%20%20408%E2%80%93441.pdf |
| _version_ | 1803628651292393472 |
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| author | El Maazouzi, Zakaria El Mohajir, Badr Eddine Al Achhab, Mohammed |
| author_facet | El Maazouzi, Zakaria El Mohajir, Badr Eddine Al Achhab, Mohammed |
| author_sort | El Maazouzi, Zakaria |
| collection | UUM |
| description | Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automatic translation as a key application in the natural language processing domain has developed many approaches, namely statistical machine translation and recently neural machine translation that improved largely the translation quality especially for Latin languages.They have even made it possible for the translation of some language pairs to approach human translation quality.In this paper, we present a survey of the state of the art of statistical translation, where we describe the different existing methodologies, and we overview the recent research studies while pointing out the main strengths and limitations of the different approaches. |
| first_indexed | 2024-07-04T06:25:21Z |
| format | Article |
| id | uum-24046 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:25:21Z |
| publishDate | 2017 |
| publisher | Universiti Utara Malaysia Press |
| record_format | dspace |
| spelling | uum-240462018-04-29T01:42:35Z https://repo.uum.edu.my/id/eprint/24046/ A systematic reading in statistical translation: From the statistical machine translation to the neural translation models El Maazouzi, Zakaria El Mohajir, Badr Eddine Al Achhab, Mohammed QA75 Electronic computers. Computer science Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automatic translation as a key application in the natural language processing domain has developed many approaches, namely statistical machine translation and recently neural machine translation that improved largely the translation quality especially for Latin languages.They have even made it possible for the translation of some language pairs to approach human translation quality.In this paper, we present a survey of the state of the art of statistical translation, where we describe the different existing methodologies, and we overview the recent research studies while pointing out the main strengths and limitations of the different approaches. Universiti Utara Malaysia Press 2017 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/24046/1/JICT%2016%202%202017%20%20408%E2%80%93441.pdf El Maazouzi, Zakaria and El Mohajir, Badr Eddine and Al Achhab, Mohammed (2017) A systematic reading in statistical translation: From the statistical machine translation to the neural translation models. Journal of Information and Communication Technology, 16 (2). pp. 408-441. ISSN 2180-3862 http://jict.uum.edu.my/index.php/previous-issues/151-journal-of-information-and-communication-technology-jict-vol-16-no-2-december-2017#A9 |
| spellingShingle | QA75 Electronic computers. Computer science El Maazouzi, Zakaria El Mohajir, Badr Eddine Al Achhab, Mohammed A systematic reading in statistical translation: From the statistical machine translation to the neural translation models |
| title | A systematic reading in statistical translation: From the statistical machine translation to the neural translation models |
| title_full | A systematic reading in statistical translation: From the statistical machine translation to the neural translation models |
| title_fullStr | A systematic reading in statistical translation: From the statistical machine translation to the neural translation models |
| title_full_unstemmed | A systematic reading in statistical translation: From the statistical machine translation to the neural translation models |
| title_short | A systematic reading in statistical translation: From the statistical machine translation to the neural translation models |
| title_sort | systematic reading in statistical translation from the statistical machine translation to the neural translation models |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/24046/1/JICT%2016%202%202017%20%20408%E2%80%93441.pdf |
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