character-level | Topic | Ecosyste.ms: Repos

Topic: "character-level"

zhangzibin/char-rnn-chinese

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Language: Lua - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 193 - Forks: 76

thunlp/Character-enhanced-Sememe-Prediction

Code accompanying Incorporating Chinese Characters of Words for Lexical Sememe Prediction (ACL2018) https://arxiv.org/abs/1806.06349

Language: Python - Size: 1.68 MB - Last synced at: 9 days ago - Pushed at: over 6 years ago - Stars: 25 - Forks: 3

ozanarkancan/char-ner

Multi lingual character based named entity recognizer

Language: Python - Size: 333 MB - Last synced at: 12 days ago - Pushed at: about 7 years ago - Stars: 25 - Forks: 8

yanghanxy/CIAN

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

Language: Python - Size: 35.6 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 17 - Forks: 5

MUHAMMADAKMAL137/IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B

In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding. Additionally, I utilized the Keras Tokenizer to tokenize the sentences and implemented word embedding using the Embedding layer. For sentiment analysis

Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0