Sundanese speakers year by year have been gradually reduced. Most of the speakers are Indonesians that live in West Java.
INTRODUCTION As one of the vernaculars in Indonesia, the Sundanese language is spoken by 40 million (Muamar, 2018). Keywords: Neural machine translation, Speech level, Sundanese 1. The experiment on sentence training in Transformer NMT without outof-vocabulary (OOV) shows 42.72% BLEU Score, and Average Training Loss was 1.77 while for speech level was dominated by 56% basa loma (coarse) of the whole testing result. The experiment started with building Sundanese-Indonesian sentences as a parallel corpus to build and train NMT models. Neural machine translation (NMT) was chosen as the current technology in machine translation, which worked by combining recurrent neural network encoder-decoder. Based on the fact, this experiment focuses on the problem when translating Indonesian to Sundanese and the evaluation of Sundanese speech level in the translated texts. However, for better translation in syntax and context, machine translation is offered. Indonesian, in order to get correct word choice in Sundanese language, social contexts may refer to many sources such as a dictionary, or thesaurus. As Indonesian mixed within Sundanese language use, the usage of speech level is gradually degrading. ABSTRACT Speech level is one of the essential Sundanese language elements. 1 Proceedings of the Thirteenth Conference on Applied Linguistics (CONAPLIN 2020) Experiment on a Transformer Model Indonesian-to- Sundanese Neural Machine Translation with Sundanese Speech Level Evaluation Restu Bias Primandhika 1,* Muhammad Nadzeri Munawar 2 Aceng Ruhendi Saifullah 1 1 Universitas Pendidikan Indonesia 2 GDP Labs Bandung * Corresponding author.
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