Greetings !This is the introduction thread for Vietnamese NLP practitioners.Welcome, and please introduce yourself and let us know:Your name, Github, Hugging Face, and/or Twitter handleYour interest in Vietnamese NLPSome projects you are working on or interested in startingAny other languages that you speak, any personal interests, anything else really
2021-02-23T10:12:34Z
Hi, my name is Minh. I work as AI engineering in Ha Noi, Vietnam. My interest in ML / NLP started in early 2020.Currently, I like to experiment with Fine-tune Sentiment analysis, NER, Pos tag and Build Pretrain.In parallel with Roberta, we are also exploring language models, currently training a Electra and having fun with various experiments with Onnx runtime, distill.I hope we could connect and work together on interesting Vietnamese nlp projects.My handles:Github:BinhMinhs10
2021-02-24T16:31:54Z
Hello everyone !I’m Thành, I’m an AI engineer for a private company in Hanoi. My github is@luvata.Currently I’m learning HF’s transformers and trying to integrate my custom model to transformers. I will share my approach here after I finish.I hope that our community will grow and have interesting meetings in the future
2021-06-23T16:38:04Z
My name is Tien Dung,I’m a ex-programmer live in Hanoi. I’m quite new to the field of deep learning but have some experience in NLP long time ago. I have some ideas to apply new approach to improve Vietnamese input method.Just create a project for Flax/JAX at the link below. Please discuss to see if it’s a good problem to be solved.Pre-train a Seq2Seq model for a Quick Vietnamese Input Method by mapping Ascii syllables that missing marke and tones to UTF-8 syllables. E.g. toi noi tieng Viet => tôi nói tiếng ViệtFlax/JAX ProjectsProblem: Most popular Vietnamese input method is Telex, that require additional keypress to create marks and tones for Vietnamese syllable. E.g: tooi => tôi, nois => nói, tieengs => tiếng, Vieetj => Việt. It’s work just fine it you have are using laptop, desktop that have a physical QWERTY keyboard (typing with 8 fingers). But it’s slow and error-prone while using smartphones (virtual keyboard typing with 2 fingers) or featured-phones (using T9 with only 0-9 keys). By using ML to map the minimal…