Language learning using Machine Learning: a systematic review
Language learning using machine learning (ML) has become significant, employing techniques and algorithms with the ability to solve text, audio and image translation. The objective of the research is to determine the worldwide advances in language learning using ML in order to support and encourage...
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| Publicado en: | Apuntes Universitarios |
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| Autores principales: | , , , , , |
| Formato: | Artículo de revista |
| Lenguaje: | español |
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Universidad Peruana Unión
2022
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| _version_ | 1881695041483702272 |
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| author | Gamboa-Cruzado, Javier Huamani-Jeri, Jhon Najarro-Buitron, Abel Hidalgo Sánchez, Augusto Daga Chaca, Marisol Horna Zegarra, Indalecio |
| author_browse | Daga Chaca, Marisol Gamboa-Cruzado, Javier Hidalgo Sánchez, Augusto Horna Zegarra, Indalecio Huamani-Jeri, Jhon Najarro-Buitron, Abel |
| author_facet | Gamboa-Cruzado, Javier Huamani-Jeri, Jhon Najarro-Buitron, Abel Hidalgo Sánchez, Augusto Daga Chaca, Marisol Horna Zegarra, Indalecio |
| author_sort | Gamboa-Cruzado, Javier |
| collection | Revistas |
| container_title | Apuntes Universitarios |
| description | Language learning using machine learning (ML) has become significant, employing techniques and algorithms with the ability to solve text, audio and image translation. The objective of the research is to determine the worldwide advances in language learning using ML in order to support and encourage researchers to undertake further experimental research in this area. The amount of research on language learning and ML requires a systematic review of the literature, limiting the review years between 2016 and 2021. The sources consulted are: Taylor & Francis, IEEE Xplore, ACM Digital Library, ScienceDirect, ProQuest, ARDI y ERIC. The studies initially found were 55237, after applying rigorous exclusion criteria 82 papers were obtained. The results of the review conclude that the most used technique for language learning using ML is support vector machine (SVM), followed by K-means (K-M) and the way the concepts have evolved tend to learning automation. The review gives us an approach to the trends in language learning with ML. In addition, the keywords that present more co-occurrence in the research are “machine learning”, “natural language processing” and “machine translation”. |
| format | Online |
| id | oai:ojs2.apuntesuniversitarios.upeu.edu.pe:article/1249 |
| institution | UPeU |
| issn | 2304-0335 2225-7136 |
| language | Spanish |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Universidad Peruana Unión |
| publisherStr | Universidad Peruana Unión |
| record_format | ojs |
| revista_str_mv | Apuntes Universitarios |
| spelling | oai:ojs2.apuntesuniversitarios.upeu.edu.pe:article/12492022-10-14T04:54:30Z Language learning using Machine Learning: a systematic review Aprendizaje de idiomas usando Machine Learning: una revisión sistemática Gamboa-Cruzado, Javier Huamani-Jeri, Jhon Najarro-Buitron, Abel Hidalgo Sánchez, Augusto Daga Chaca, Marisol Horna Zegarra, Indalecio language learning process, technology education, machine learning, ML, language acquisition, intelligent retrieval, expert systems. proceso de aprendizaje de idiomas, educación tecnológica, machine learning, adquisición de idiomas, recuperación inteligente, sistemas expertos. Language learning using machine learning (ML) has become significant, employing techniques and algorithms with the ability to solve text, audio and image translation. The objective of the research is to determine the worldwide advances in language learning using ML in order to support and encourage researchers to undertake further experimental research in this area. The amount of research on language learning and ML requires a systematic review of the literature, limiting the review years between 2016 and 2021. The sources consulted are: Taylor & Francis, IEEE Xplore, ACM Digital Library, ScienceDirect, ProQuest, ARDI y ERIC. The studies initially found were 55237, after applying rigorous exclusion criteria 82 papers were obtained. The results of the review conclude that the most used technique for language learning using ML is support vector machine (SVM), followed by K-means (K-M) and the way the concepts have evolved tend to learning automation. The review gives us an approach to the trends in language learning with ML. In addition, the keywords that present more co-occurrence in the research are “machine learning”, “natural language processing” and “machine translation”. El aprendizaje de idiomas mediante uso de Machine Learning (ML) ha tomado significancia, empleando técnicas y algoritmos con la capacidad de resolver traducción de texto, audio e imágenes. En ese contexto, el objetivo de la investigación es determinar los avances a nivel mundial acerca del aprendizaje de idiomas usando ML con la finalidad de apoyar y animar a los investigadores a emprender nuevas investigaciones experimentales al respecto. La cantidad de investigaciones del aprendizaje de idiomas y ML requiere una revisión sistemática de la literatura, limitando los años de revisión entre el 2016 y el 2021. Las fuentes consultadas son: Taylor & Francis, IEEE Xplore, ACM Digital Library, ScienceDirect, ProQuest, ARDI y ERIC. Los estudios encontrados inicialmente fueron de 55237, luego de aplicar rigurosos criterios de exclusión se obtuvieron 82 artículos. Los resultados de la revisión concluyen que la técnica más utilizada para el aprendizaje de idiomas mediante ML es Support Vector Machine (SVM), seguido de K-means (K-M) y la forma en que han evolucionado los conceptos tienden a la automatización del aprendizaje. La revisión ofrece un acercamiento a las tendencias en el aprendizaje de idiomas con ML, además que las keywords que presentan más coocurrencia en las investigaciones son “machine learning”, “natural lenguaje processing” y “machine translation”. Universidad Peruana Unión 2022-09-07 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://apuntesuniversitarios.upeu.edu.pe/index.php/revapuntes/article/view/1249 10.17162/au.v12i4.1249 Apuntes Universitarios; Vol. 12 Núm. 4 (2022): Revista de Investigación Apuntes Universitarios ; 321-345 2304-0335 2225-7136 10.17162/au.v12i4 spa https://apuntesuniversitarios.upeu.edu.pe/index.php/revapuntes/article/view/1249/934 Derechos de autor 2022 Javier Gamboa Cruzado https://creativecommons.org/licenses/by/4.0 |
| spellingShingle | language learning process, technology education, machine learning, ML, language acquisition, intelligent retrieval, expert systems. proceso de aprendizaje de idiomas, educación tecnológica, machine learning, adquisición de idiomas, recuperación inteligente, sistemas expertos. Gamboa-Cruzado, Javier Huamani-Jeri, Jhon Najarro-Buitron, Abel Hidalgo Sánchez, Augusto Daga Chaca, Marisol Horna Zegarra, Indalecio Language learning using Machine Learning: a systematic review |
| title | Language learning using Machine Learning: a systematic review |
| title_alt | Aprendizaje de idiomas usando Machine Learning: una revisión sistemática |
| title_full | Language learning using Machine Learning: a systematic review |
| title_fullStr | Language learning using Machine Learning: a systematic review |
| title_full_unstemmed | Language learning using Machine Learning: a systematic review |
| title_short | Language learning using Machine Learning: a systematic review |
| title_sort | language learning using machine learning a systematic review |
| topic | language learning process, technology education, machine learning, ML, language acquisition, intelligent retrieval, expert systems. proceso de aprendizaje de idiomas, educación tecnológica, machine learning, adquisición de idiomas, recuperación inteligente, sistemas expertos. |
| topic_facet | language learning process, technology education, machine learning, ML, language acquisition, intelligent retrieval, expert systems. proceso de aprendizaje de idiomas, educación tecnológica, machine learning, adquisición de idiomas, recuperación inteligente, sistemas expertos. |
| url | https://apuntesuniversitarios.upeu.edu.pe/index.php/revapuntes/article/view/1249 |
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