sunhanwu / MT
利用Transformer模型实现的机器翻译
☆12Updated 4 years ago
Alternatives and similar repositories for MT:
Users that are interested in MT are comparing it to the libraries listed below
- pytorch实现Transformer,提供机器翻译案例和简单的翻译api接口(flask)。评分组件使用BLEU。☆76Updated 3 years ago
- transformer,机器翻译,中文--英文☆74Updated 2 years ago
- 使用transformer构建的机器翻译系统☆9Updated last year
- 基于Transformer的机器翻译系统☆12Updated 2 years ago
- pytorch实现seq2seq机器翻译算法,附详细注释☆24Updated 3 years ago
- 国科大深度学习课程知识点整理☆35Updated 2 years ago
- 国科大深度学习作业 2024 春☆77Updated last week
- 中国科学院大学计算机科学与技术学院深度学习(徐俊刚老师)☆70Updated 2 years ago
- ChineseNMT: Translate English to Chinese with PyTorch Implementation of Transformer☆476Updated 2 years ago
- 使用transformer架构实现简单的英语翻译中文模型☆90Updated 5 years ago
- 英中文本机器翻译的☆97Updated 5 years ago
- A PyTorch implementation of a BiLSTM \ BERT \ Roberta (+ BiLSTM + CRF) model for Chinese Word Segmentation (中文分词) .☆210Updated 2 years ago
- pytorch☆45Updated last year
- 机器翻译Jupyter Notebook教程☆19Updated 3 years ago
- ☆126Updated last year
- 本仓库是基于bert4keras实现的古文-现代文翻译模型。具体使用了基于掩码自注意力机制的UNILM(Li al., 2019)预训练模型作为翻译系统的backbone。我们首先使用了普通的中文(现代文)BERT、Roberta权重作为UNILM的初始权重以训练UNILM…☆49Updated 3 years ago
- 使用多种方法做中文命名实体识别(NER),代码包含详细注释☆46Updated last year
- 基于Hmm模型和Viterbi算法实现中文分词及词性标注,使用最大概率算法进行优化。人民日报语料:分词(F1:96.189%);词性标注(F1:97.934%)☆26Updated 2 years ago
- seq_2_seq text generation based on transformers☆24Updated 4 years ago
- Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.☆141Updated last year
- 国科大深度学习课程作业☆49Updated 3 years ago
- NLP常见任务实现(pytorch版)☆123Updated 4 years ago
- ☆19Updated 4 years ago
- This is a repository for a few projects built in torch.☆43Updated 3 years ago
- 中文->英文的机器翻译,完全基于kreas-transformer。模型已上传,可直接跑。☆54Updated 5 years ago
- This repository contains some sentiment analysis models and sequence tagging models, including BiLSTM, TextCNN, BERT for both tasks. All …☆12Updated 2 years ago
- 基于pytorch+bert的中文文本分类☆84Updated 2 years ago
- 基于Transform的机器翻译系统☆19Updated 4 years ago
- ☆89Updated 2 years ago
- all courses' homework☆113Updated 4 years ago