PrithivirajDamodaran / Parrot_Paraphraser
A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
☆896Updated last year
Alternatives and similar repositories for Parrot_Paraphraser
Users that are interested in Parrot_Paraphraser are comparing it to the libraries listed below
Sorting:
- A paraphrase generator built using the T5 model which produces paraphrased English sentences.☆313Updated 2 weeks ago
- A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/ca…☆486Updated last year
- Text2Text Language Modeling Toolkit☆301Updated 4 months ago
- NeuSpell: A Neural Spelling Correction Toolkit☆694Updated last year
- An NLP system for generating reading comprehension questions☆288Updated last year
- Neural question generation using transformers☆1,126Updated last year
- Keywords to Sentences☆450Updated last year
- Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive…☆431Updated 2 years ago
- Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing☆753Updated 7 months ago
- A Python library for calculating a large variety of metrics from text☆337Updated 5 months ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy☆1,385Updated 3 months ago
- Sentence paraphrase generation at the sentence level☆407Updated 2 years ago
- ✔️Contextual word checker for better suggestions (not actively maintained)☆413Updated 3 months ago
- Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer…☆388Updated 2 years ago
- TextAugment: Text Augmentation Library☆420Updated last year
- simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.☆393Updated last year
- Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.☆533Updated 3 weeks ago
- Fixes contractions such as `you're` to `you are`☆318Updated 2 years ago
- PYthon Automated Term Extraction☆311Updated 2 years ago
- SpikeX - SpaCy Pipes for Knowledge Extraction☆398Updated 3 years ago
- 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.☆850Updated 8 months ago
- NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations☆783Updated 11 months ago
- ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.☆578Updated 2 years ago
- Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further lang…☆195Updated 2 years ago
- Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a docum…☆262Updated 6 months ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- Official code and data repository for our EMNLP 2020 long paper "Reformulating Unsupervised Style Transfer as Paraphrase Generation" (htt…☆236Updated 2 years ago
- Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.☆135Updated 3 years ago
- Question Generation using Google T5 and Text2Text☆154Updated 4 years ago