Abidin, Zaenal and Junaidi, Akmal and Wamiliana, Wamiliana and Togatorop, Frengky Marulitua Direct Machine Translation Indonesian-Batak Toba. 2023 7th International Conference on New Media Studies. ISSN 979 - 8 -3503 -0750 - 4
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Abstract
The translation application was developed using highly valuable for studying natural language processing in the Angkola Batak language. No research on stemming has been discovered in the Toba Batak language. The research on other Python and Visual Studio Code as the primary programming environment. Technological progress has led to the younger generation forsaking the Batak language in their daily interactions, perceiving it as inconsequential to their social circle and contributing to the decline of regional languages. There is a concern that regional languages, namely the Batak language, may lose significance or face extinction if this trend persists. This translation program is being implemented to aid in preserving regional languages, specifically the Batak language, enabling it to conform to contemporary circumstances. The development of this translation engine utilized the Batak language dictionary. The process of designing, coding, and testing is responsible for creating this direct machine translation. The BLEU score is employed to assess the caliber of machine translation. The study's findings indicate that the % BLEU value for ten sentences was 32.3%. This score falls within the category of sentences whose meaning can be understood, but the sentence structure still needs development. The direct machine translation developed in this Web platform is highly proficient and practica
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika |
| Depositing User: | WAMILIANA |
| Date Deposited: | 26 Feb 2024 09:37 |
| Last Modified: | 26 Feb 2024 09:37 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/53264 |
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