myanmar language model - Search
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  1. Bokep

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  2. nlpresearch-ucsy.edu.mm
    http://nlpresearch-ucsy.edu.mm/myanberta.html

    MyanBERTa: A Pre-trained Language Model For Myanmar

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    • Hugging Face
      https://huggingface.co/UCSYNLP/MyanBERTa

      UCSYNLP/MyanBERTa · Hugging Face

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    • amazonaws.com
      https://journal-home.s3.ap-northeast-2.amazonaws.com/...
      [PDF]

      MyanBERTa: A Pre-trained Language Model For Myanmar

    • Hugging Face
      https://huggingface.co/jojo-ai-mst/MyanmarGPT-Big

      jojo-ai-mst/MyanmarGPT-Big · Hugging Face

    • Medium
      https://medium.com/@minsithu_53495/unveiling...

      Unveiling MyanmarGPT-Big: Empowering Myanmar’s AI Revolution

    • nlpresearch-ucsy.edu.mm
      http://nlpresearch-ucsy.edu.mm/mybert.html

      A pre-trained Myanmar language model using BERT

    • People also ask
      Is Myanmar Language Modeling a problem?In terms of Myanmar language modeling, to the best of our knowledge, there are some concerns as follows: Among all the existing monolingual pre-trained models, there are no PLMs for Myanmar language, impeding the practical use in Myanmar NLP systems.

      Pre-trained Models and Evaluation Data for the Myanmar Language - S…

      link.springer.com
      Does Myanmar pre-trained model work on word segmented dataset?In this paper, we developed monolingual Myanmar pre-trained model called MyanBERTa on word segmented Myanmar dataset and evaluated it on three downstream NLP tasks including name entity recognition (NER), part-of-speech (POS) tagging and word segmentation (WS).

      MyanBERTa: A Pre-trained Language Model For Myanmar

      journal-home.s3.ap-northeast-2.amazonaws.com
      Can large-scale transformer-based monolingual language models be used in Myanmar?We train the first four BERT-based pre-trained models for Myanmar language using a large size of corpus. The competitive performances of two downstream Myanmar’s NLP tasks: POS tagging and text classification prove the effectiveness of large-scale transformer-based monolingual language models for Myanmar.

      Pre-trained Models and Evaluation Data for the Myanmar Language - S…

      link.springer.com
      What is a Bert language model based on?A. Myanmar Corpus Pretraining BERT language model relies on large size of plain text corpora. MyanBERTa is trained on a combination of MyCorpus and Myanmar data collected from blogs and news websites. For Myanmar language, some preprocessing steps needs to be done on raw data to provide the effective usage of corpus.

      MyanBERTa: A Pre-trained Language Model For Myanmar

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    • Springer
      https://link.springer.com/chapter/10.1007/978-3-030-92310-5_52

      Pre-trained Models and Evaluation Data for the Myanmar …

    • Hugging Face
      https://huggingface.co/jojo-ai-mst/MyanmarGPT

      jojo-ai-mst/MyanmarGPT · Hugging Face

    • ResearchGate
      https://www.researchgate.net/publication/…

      Pre-trained Models and Evaluation Data for the …

      WEBDec 2, 2021 · Our aims in this paper are to train a monolingual pre-trained model for the Myanmar language and improve the state-of-the-art in its NLP tasks including Part-of-speech tagging and news...

    • ucsy.edu.mm
      https://onlineresource.ucsy.edu.mm/bitstream/...
      [PDF]

      MyanmarBERT:Myanmar Pre-trained Language Model using …

    • Github
      https://github.com/MinSiThu/MyanmarGPT

      GitHub - MinSiThu/MyanmarGPT: The very first and largest …

    • Academia.edu
      https://www.academia.edu/83324571/Myanmar_Lang…

      (PDF) Myanmar Language Part-of-Speech Tagging …

      WEBDec 18, 2018 · Myanmar Language Part-of-Speech Tagging Using Deep Learning Models. 2019. By thinn wai. See Full PDF. Download PDF. Part-of-speech (POS) tagging is one of the most important processes in …

    • IEEE Xplore
      https://ieeexplore.ieee.org/document/7166608

      Syllable-based Myanmar language model for speech recognition

    • Towards Data Science
      https://towardsdatascience.com/myanmar-language...

      Myanmar Language Natural Language Processing in Python

    • ACL Anthology
      https://aclanthology.org/2020.sltu-1.19

      Automatic Myanmar Image Captioning using CNN and LSTM …

    • ResearchGate
      https://www.researchgate.net/publication/379828999...

      Named Entity Recognition for Myanmar Language - ResearchGate

    • Medium
      https://medium.com/@minsithu_53495/myanmargpt...

      MyanmarGPT: Empowering Myanmar through the First Usable

    • Medium
      https://medium.com/@minsithu_53495/open-source-ai...

      Open Source AI models I release in Myanmar - Medium

    • Wikipedia
      https://en.wikipedia.org/wiki/Languages_of_Myanmar

      Languages of Myanmar - Wikipedia

    • Github
      https://github.com/kaungyeehein/mm-ocr

      kaungyeehein/mm-ocr - GitHub

    • Stanford NLP Group
      https://stanfordnlp.github.io/stanza/available_models.html

      Available Models & Languages - Stanza

    • spaCy
      https://spacy.io/usage/models

      Models & Languages · spaCy Usage Documentation

    • Wikipedia
      https://en.wikipedia.org/wiki/Claude_(language_model)

      Claude (language model) - Wikipedia

    • Hugging Face
      https://huggingface.co/WYNN747/Burmese-GPT

      WYNN747/Burmese-GPT · Hugging Face

    • VentureBeat
      https://venturebeat.com/ai/baidu-self-reasoning-ai...

      Baidu's self-reasoning AI: The end of 'hallucinating' language …

    • ZDNET
      https://www.zdnet.com/article/ai-scientist-we-need...

      AI scientist: 'We need to think outside the large language model box'

    • Raw Story
      https://www.rawstory.com/news/ais-encode-language...

      AIs encode language like brains do − opening a window on …

    • Heise
      https://www.heise.de/en/news/Grover-AI-model-to...

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    • Stanford Computer Science
      https://cs.stanford.edu/~keithw/sigcomm2024/...
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    • ScienceBlog.com
      https://scienceblog.com/546642

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    • SiliconANGLE
      https://siliconangle.com/2024/08/01/github...

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    • Futurism
      https://futurism.com/the-byte/scientists-send-aliens-ai

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    • ACM Digital Library
      https://dl.acm.org/doi/abs/10.1145/3672202.3673752

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