andabi / deep-text-corrector
English text corrector by using deep neural networks in Pytorch
☆47Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-text-corrector
- Baseline models, training scripts, and instructions on how to reproduce our results for our state-of-art grammar correction system from M…☆69Updated 5 years ago
- LSTM Language Model with Subword Units Input Representations☆43Updated 3 years ago
- Language modeling scripts based on TensorFlow☆59Updated 5 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 6 years ago
- ☆11Updated 7 years ago
- An attentional NMT model in Dynet☆26Updated 5 years ago
- A curated question answering research dataset of factoid questions☆49Updated 5 years ago
- Universal segmenter based on the Universal Dependency framework, written by Y. Shao, Uppsala University☆35Updated 5 years ago
- A python library to compute rouge score for summarization☆58Updated last year
- Multilingual hierarchical attention networks toolkit☆78Updated 4 years ago
- A statistical machine translation (SMT)-based grammatical error correction system that makes use of neural network joint models (NNJM) an…☆25Updated 6 years ago
- Keras implementation of CoVe☆51Updated 6 years ago
- Tools for accessing Maluuba's Travel Dialogue Dataset☆76Updated 5 years ago
- Pytorch implementation of "Get to the point: Get To The Point: Summarization with Pointer-Generator Networks"☆77Updated 7 years ago
- An original implementation of ACL 2017, "Question Answering through Transfer Learning from Large Fine-grained Supervision Data"☆59Updated 7 years ago
- ☆48Updated 7 years ago
- An extremely simple Python wrapper for the SRI Language Modeling toolkit☆70Updated 10 years ago
- Resources for the OpenNMT hackathon☆51Updated 5 years ago
- Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"☆66Updated 6 years ago
- Code for the paper "Extreme Adaptation for Personalized Neural Machine Translation"☆43Updated 2 years ago
- ☆40Updated 5 years ago
- Plan, Attend, Generate: Planning for Sequence-to-Sequence Models☆10Updated 7 years ago
- ☆48Updated 6 years ago
- ☆33Updated 6 years ago
- Notes on Deep Reinforcement Learning for Natural Language Processing papers☆29Updated 7 years ago
- An implementation of the Globally Normalized Reader☆59Updated last year
- A Deep Generative Framework for Paraphrase Generation Implementaion☆77Updated 6 years ago
- ☆43Updated 6 years ago
- ☆29Updated 6 years ago