wxzcyy / NMTLinks
基于seq2seq的机器翻译模型
☆13Updated 3 years ago
Alternatives and similar repositories for NMT
Users that are interested in NMT are comparing it to the libraries listed below
Sorting:
- 基于双向RNN,Attention机制的编解码神经机器翻译模型☆61Updated 7 years ago
- 中英机器文本翻译☆167Updated 6 years ago
- torchtext使用总结,从零开始逐步实现了torchtext文本预处理过程,包括截断补长,词表构建,使用预训练词向量,构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.☆176Updated 6 years ago
- tensorflow TxetCnn TextRNN 使用Textcnn、Textrnn对文本进行分类☆58Updated 6 years ago
- NLP homework:RNN+Attention机器翻译模型, Transormer代码学习☆29Updated 6 years ago
- 双向lstm+crf 序列标注☆65Updated 6 years ago
- bert for chinese text classification☆142Updated 6 years ago
- 使用tensorflow构建的seq2seq+attention+beansearch 的聊天机器人模型☆47Updated 6 years ago
- Named Recognition Entity based on BERT and CRF 基于BERT+CRF的中文命名实体识别☆185Updated 2 years ago
- NLP☆134Updated last year
- A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通)☆272Updated 6 years ago
- Multilabel classification based on TextCNN and Attention☆78Updated 5 years ago
- Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism☆202Updated 6 years ago
- NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务☆194Updated last year
- In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、D…☆21Updated 7 years ago
- bilstm _Attention_crf☆38Updated 6 years ago
- bert annotation, input and output for people from scratch, 代码注释, 有每一步的输入和输出, 适合初学者☆93Updated 2 years ago
- 使用BERT做文本相似度☆63Updated 5 years ago
- 在bert模型的pre_training基础上进行text_cnn文本分类☆78Updated 5 years ago
- paper reading☆20Updated 6 years ago
- KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.☆317Updated 6 years ago
- 法研杯2019 阅读理解赛道 top3☆150Updated last year
- word2vec implementation for skip-gram in pytorch☆55Updated 6 years ago
- Use BERT as feature. TensorFlow code and pre-trained models for BERT☆54Updated 6 years ago
- 基于TensorFlow,seq2seq+attention+beamsearch的文本摘要。☆59Updated 6 years ago
- pytorch用Textcnn-bilstm-crf模型实现命名实体识别☆42Updated 7 years ago
- 机器翻译练习☆15Updated 5 years ago
- ☆135Updated 6 years ago
- albert + lstm + crf实体识别,pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)☆138Updated 2 years ago
- 基于知识库的问答系统。其中使用带注意力机制的对抗迁移学习做中文命名实体识别,使用BERT模型做句子相似度分析。☆37Updated 6 years ago