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dut-liuyang's Projects

char-rnn-tensorflow icon char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

crosentgec icon crosentgec

Code for cross-sentence grammatical error correction using multilayer convolutional seq2seq models (ACL 2019)

dast icon dast

Domain Adaptive Text Style Transfer, EMNLP 2019

gector icon gector

Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf

good-translation-wrong-in-context icon good-translation-wrong-in-context

This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine Translation"

hypothesis-testing-for-mt icon hypothesis-testing-for-mt

Evaluate the BLEU score significance statistically comparing Ref file and Tgt files among different machine translation systems

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

multeval icon multeval

Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability" from ACL 2011.

nn_playground icon nn_playground

Experimental keras implementation of novel neural network structures

seq2seq icon seq2seq

Sequence to Sequence Learning with Keras

significance-williams icon significance-williams

MT Document-level METRICS Significance Test - is an increase in correlation with human judgment significant?

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