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Zhengxiang Wang's Projects

ccnc icon ccnc

CCNC: A Comprehensive Chinese Name Corpus (3.65M name samples). 大型中文姓名语料库 (内含365万姓名语例)。

chinese-fixed-phrases-idioms icon chinese-fixed-phrases-idioms

A large corpus of Chinese fixed phrases and idioms scraped from a reputable educational website (30310 instances). 一个大型的中文成语及俗语语料库,内含30310条语例

chinese-synonyms icon chinese-synonyms

A large high-quality corpus of Chinese synonyms 一个大型、高质量的中文同义词语料库。

chinesenlpcorpus icon chinesenlpcorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

datasets icon datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

gender-predictor icon gender-predictor

Predicting gender of given Chinese names (93~99% test set accuracy). 预测中文姓名的性别(93~99%的测试集准确率)。

helptk icon helptk

Historical English Language Processing Toolkit: An efficient toolkit and a general framework for early modern & modern English Language Processing in XML and much more. With just a few lines of code and a few minutes, it can tokenize, normalize & annotate a normal XML corpus of a few million tokens. Besides, it is also easy to adapt.

linguistic-knowledge-in-da-for-nlp icon linguistic-knowledge-in-da-for-nlp

Source Code, data, and results for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching.

lstar_python icon lstar_python

Python Implementation of the Lstar Algorithm by Angluin (1987)

misc_notes icon misc_notes

Miscellaneous notes in the past that are in a good shape 过去一些保存比较完整的学习笔记

pytorch_tutorial icon pytorch_tutorial

Simple PyTorch Tutorial for a guest lecture I gave. Suitable for beginners.

reda icon reda

Revised Easy Data Augmentation: a set of general token-level text augmentation techniques

rnn-seq2seq-transduction icon rnn-seq2seq-transduction

Using RNN seq2seq models in modelling transduction tasks. Customized training and inference pipelines are provided.

rnn-transduction icon rnn-transduction

Using RNNs in modelling transduction tasks. Customized training and inference pipelines are provided.

text-augmentation-techniques icon text-augmentation-techniques

Common approaches to text augmentation, from random text-editing perturbations, back translation, to model-based transformations.

text-classification-explained icon text-classification-explained

Building and training deep learning models for text classification tasks from scratch using paddle, PyTorch, and TensorFlow.

text-matching-explained icon text-matching-explained

Building and training deep learning models for text matching classification tasks from scratch using paddle, PyTorch, and TensorFlow.

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