Language identification service over RESTful API
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Updated
Sep 16, 2024 - Python
Language identification service over RESTful API
⚡️ 80x faster language detection with Fasttext | Split text by language for TTS
translatorlab: a machine translation tool that uses artificial intelligence models to provide accurate and fast translations between different languages
Explainable Writing Style Detection with User Interface
Automatic paper clustering and search tool by fastext from Facebook Research
Targetted language identifier, based on FastText and Hunspell.
Hackathon : This project compares machine learning models like Fasttext, LASER, Camembert, Multilang_Bert, and Croissant for retrieving similar text solutions using embeddings. It includes database setup, dataset structure, and usage instructions for evaluating results and interacting with models via a web interface.
Topic Modelling for Humans
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Exploring the simple sentence similarity measurements using word embeddings
A FastText Classifier for Profanity, for future projects
A data set and model for german sentiment classification.
Do some analysis based on main AI conferences
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
A university project in which a web crawler is designed for the Instagram website and fasttext is used to predict the positive or negative content of a post's comments.
Corrects undetermined and not applicable subtitle flags within mkv files for anime.
✨ Split text by languages (e.g. 你喜欢看アニメ吗 -> 你喜欢看 | アニメ | 吗) for NLP tasks (e.g. parse, TTS). Powered by fasttext and langua
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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