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MyanBERTa: A Pre-trained Language Model For Myanmar
WEBMyanBERTa: A Pre-trained Language Model For Myanmar. Model Description. This model is a BERT based Myanmar pre-trained language model. MyanBERTa has been pre-trained for 528K steps on a word segmented Myanmar dataset consisting of 5,992,299 …
See results only from nlpresearch-ucsy.edu.mmA pre-trained Myanmar lang…
We provide MyanmarBERT:Myanmar Pre-trained language model based on BERT …
Pre-trained Models and Evaluation Data for the Myanmar …
- To train our models, we tried to collect texts from different sources. On the one hand, we utilized all the Myanmar data from the OSCAR corpusFootnote 3, a humongous multilingual corpus whose texts all come from the Common Crawl corpusFootnote 4. In addition, articles on CC-100 were also used as part of our corpus for pre-training. This corpus was...
GitHub - MinSiThu/MyanmarGPT: The very first and largest …
WEBMyanmarGPT-Big is a 1.42 billion parameters Multi-Language Model. It is an enterprise-level LLM for Burmese Language mainly and other languages. Currently supports 61 …
A pre-trained Myanmar language model using BERT
WEBJun 22, 2011 · We provide MyanmarBERT:Myanmar Pre-trained language model based on BERT for Myanmar text. We use MyCorpus for pre-training data size with 1.3G and use …
jojo-ai-mst/MyanmarGPT-Big · Hugging Face
WEBMulti-language model with Burmese Text and 1.42 Billion Parameters. Supports 61 Languages. Everyone can fine-tune this model. Designed primarily for Burmese text …
jojo-ai-mst/MyanmarGPT - Hugging Face
WEBMyanmar GPT is a model trained on a private Myanmar language dataset made by MinSiThu. The project aims to make the Myanmar language available in the GPT2 …
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WEBpre-trained model for the Myanmar language and improve the state-of-the-art in its NLP tasks including Part-of-speech tagging and news classification. We
WEBpre-trained language model. Compared to a new MyanmarBERT, M-BERT1 is tagging and NER. This article describes the following contributions: a) We introduce a large …
MyanmarBERT:Myanmar Pre-trained Language Model using BERT
WEBIn this paper, we introduce a large monolingual corpus called MyCorpus and also release Myanmar pre-trained language model(MyanmarBERT) based on BERT. Myanmar …
WEBINTRODUCTION. Named Entity Recognition is the process of automatically tagging, identifying of labeling different named entities (NE) in text in accordance with the …
GitHub - ye-kyaw-thu/mySentence: The corpus and models for …
WEBJul 30, 2023 · Sentence segmentation can be defined as the task of dividing text into sentences. These sentences are independent units consisting of grammatically linked …
WYNN747/Burmese-GPT - Hugging Face
WEBDeveloped by Dr. Wai Yan, Burmese-GPT is a specialized large language model for the Burmese language, fine-tuned/pre-trained on the GPT-2 architecture, particularly the …
WEBTherefore, Myanmar phrases translation model is based on syntactic structure and morphology of Myanmar language. Bayes rule is also used to reformulate the …
Unveiling MyanmarGPT-Big: Empowering Myanmar’s AI Revolution
WEBJan 6, 2024 · Myanmar, a country with a rich cultural heritage and a burgeoning interest in technological advancements, has taken a significant step forward with the introduction of …
(PDF) Improving accuracy of part-of-speech (POS) …
WEBWith the rapid growth of digital content in Myanmar Language, applications like machine learning, translation and information retrieval become popular and it required to obtain the effective Natural Language Processing …
Myanmar Language Part-of-Speech Tagging Using …
WEBMyanmar Language Part-of-Speech Tagging Using Deep Learning Models. thinn wai. 2019. Part-of-speech (POS) tagging is one of the most important processes in Natural Language Processing (NLP). It is useful …
MyanmarGPT: Empowering Myanmar through the First Usable …
WEBJan 5, 2024 · Enter Me, Min Si Thu, a visionary AI creator from Myanmar, who has recently unveiled MyanmarGPT — the very first usable Burmese language-enabled model based …
WEBMyanmar language is Low-resourced. Until 2005, most Myanmar language websites used image-based text, No Digital Myanmar text available online as language resource for …
Automatic Myanmar Image Captioning using CNN and LSTM …
WEBSep 3, 2024 · Myanmar image caption corpus is manually built as part of the Flickr8k dataset in this current work. Furthermore, a generative merge model based on …
This project is image to text recognizing implementation for …
WEBThis project is image to text recognizing implementation for Myanmar language by Tessearct 4.0 OCR Engine.
Language Access Policy: Practices in Myanmar and their …
WEBJan 4, 2022 · The MTB-MLE model is championed by many as a means to gain proficiency in dominant languages (like Burmese) as well as global languages (like English). The …
Open Source AI models I release in Myanmar - Medium
WEBJan 1, 2024 · Fine-tuning the MyanmarGPT model makes it easier to build a custom Myanmar language model than using alternative language models. And it is free to …
Languages of Myanmar - Wikipedia
WEBLanguages of Myanmar. Appearance. A map of languages used in Burma. There are approximately a hundred languages spoken in Myanmar (also known as Burma). [ 1 ] . …
Why I’m committed to breaking the bias in large language models …
WEBSep 4, 2024 · As the saying goes, you are what you eat, and in the case of generative AI, these programs process vast amounts of data and amplify the patterns present in that …
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