indobetrtp - indobert GitHub Topics GitHub IndoBERT GitHub poin 88 slot Pages Although the Indonesian language is spoken by almost 200 million people and the 10th most spoken language in the world it is underrepresented in NLP research Previous work on Indonesian has been hampered by a lack of annotated datasets a sparsity of language resources and a lack of resource standardization In this work we release the IndoLEM dataset comprising seven tasks for the IndoLEM and IndoBERT A Benchmark Dataset and Pretrained Language IndoBERT is the Indonesian version of BERT model We train the model using over 220M words aggregated from three main sources 759 Data train dev test 5Fold Evaluation MorphosyntaxSequence Labelling Tasks POS Tagging 7222 802 2006 Yes Accuracy NER UI 1530 170 425 No microaveraged F1 indolemindobertbaseuncased Hugging Face GitHub IndoNLPindonlu The firstever vast natural language indobenchmarkindobertbasep1 Hugging Face GitHub indolemindolem IndoLEM is a comprehensive Indonesian NLU IndoLEM is a comprehensive Indonesian NLU benchmark comprising three pillars NLP task morphosyntax semantic and discourse Presented in COLING 2020 indolemindolem Baca README ini dalam Bahasa Indonesia Update 16112024 We update the links to the datasets and situs porno paling populer fasttext models in IndoNLU IndoNLU is a collection of Natural Language Understanding NLU resources for Bahasa Indonesia with 12 downstream tasks We provide the code to reproduce the results and large pretrained models IndoBERT and IndoBERTlite trained with around 4 billion word IndoLEM and IndoBERT A Benchmark Dataset and Pretrained Language PDF IndoLEM and IndoBERT A Benchmark Dataset and Pretrained Language indobetrtp20 X GitHub is where people build software More than 100 million people use GitHub to discover fork and contribute to over 420 million projects IndoBERT Base Model phase1 uncased IndoBERT is a stateoftheart language model for Indonesian based on the BERT model The pretrained model is trained using a masked language modeling MLM objective and next sentence prediction NSP objective About IndoBERT is the Indonesian version of BERT model We train the model using over 220M words aggregated from three main sources Indonesian Wikipedia 74M words news articles from Kompas Tempo Tala et al 2003 and Liputan6 55M words in total Fajri Koto Afshin Rahimi Jey Han Lau Timothy Baldwin Proceedings of the 28th International Conference perek adalah on Computational Linguistics 2020
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