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. Automat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UUM Press
2017-11-01
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| Series: | Journal of ICT |
| Subjects: | |
| Online Access: | https://e-journal.uum.edu.my/index.php/jict/article/view/8239 |
| _version_ | 1798040946951061504 |
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| author | Zakaria El Maazouzi Badr Eddine El Mohajir Mohammed Al Achhab |
| author_facet | Zakaria El Maazouzi Badr Eddine El Mohajir Mohammed Al Achhab |
| author_sort | Zakaria El Maazouzi |
| collection | DOAJ |
| 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.
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| first_indexed | 2024-04-11T22:14:41Z |
| format | Article |
| id | doaj.art-638edf55d1854482aeff3648948c4d8f |
| institution | Directory Open Access Journal |
| issn | 1675-414X 2180-3862 |
| language | English |
| last_indexed | 2024-04-11T22:14:41Z |
| publishDate | 2017-11-01 |
| publisher | UUM Press |
| record_format | Article |
| series | Journal of ICT |
| spelling | doaj.art-638edf55d1854482aeff3648948c4d8f2022-12-22T04:00:28ZengUUM PressJournal of ICT1675-414X2180-38622017-11-01162A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS.Zakaria El Maazouzi0Badr Eddine El Mohajir1Mohammed Al Achhab2N2T Laboratory, National School of Applied Sciences University Abdelmalek Essaadi, MoroccoN2T Laboratory, National School of Applied Sciences University Abdelmalek Essaadi, MoroccoN2T Laboratory, National School of Applied Sciences University Abdelmalek Essaadi, MoroccoAchieving 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. https://e-journal.uum.edu.my/index.php/jict/article/view/8239Neural networksrecurrent neural networksnatural language processingneural language model |
| spellingShingle | Zakaria El Maazouzi Badr Eddine El Mohajir Mohammed Al Achhab A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS. Journal of ICT Neural networks recurrent neural networks natural language processing neural language model |
| 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 | Neural networks recurrent neural networks natural language processing neural language model |
| url | https://e-journal.uum.edu.my/index.php/jict/article/view/8239 |
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