| Challenge: | Statistical machine translation gained ground over rule-based machine translation in the late 1990s thanks to its ability to learn from large bilingual corpora. |
| Approach: | They propose to develop a parallel corpus for machine translation across Kazakh, English, Russian, and Turkish. |
| Outcome: | The proposed model outperforms Google Translate and Yandex Translate in terms of performance and evaluation metrics. |
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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus (2021.acl-demo)
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| Challenge: | 7000 languages worldwide are spoken, but most research is focused on English . multilinguality is essential for multilingual research, and is a key component of the process. |
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