Liang Ding's Projects
Implementation of the paper “Improving Simultaneous Machine Translation with Monolingual Data”.
Unsupervised Statistical Machine Translation
Moses, the machine translation system
MPNet: Masked and Permuted Pre-training for Language Understanding https://arxiv.org/pdf/2004.09297.pdf
Lists of MT papers (by conference)
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
several evaluation metrics for Machine Translation
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation
keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
This repo contains our ACL paper data and source code
A library for Multilingual Unsupervised or Supervised word Embeddings
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
this repository is for learning the powerful and efficient MXnet
Non-autoregressive Neural Machine Translation (not a full version)
NAACL 2018 Tutorial: Modelling Natural Language, Programs, and their Intersection
Open-Source Neural Machine Translation in Tensorflow
Neu nlp toolkit
Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"
Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.
Several basic neural machine translation models implemented by PyTorch & TensorFlow
Python code and data sets used in the post on neural networks.
An open-source tool for sequence learning in NLP built on TensorFlow.
Efficient Image Captioning code in Torch, runs on GPU
NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University, YaTrans Co.,Ltd. and YaSmart Co.,Ltd. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tree, tree-to-string and tree-to-tree) models for research-oriented studies.
这个项目是一个基本包.封装了大多数nlp项目中常用工具
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
NLP2Code: Code Snippet Content Assist via Natural Language Tasks