Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
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Updated
Sep 27, 2022 - Python
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper
💡GENIUS – generating text using sketches! A strong text generation & data augmentation tool.
Augmenty is an augmentation library based on spaCy for augmenting texts.
Text augmentation, deep learning, and aspect-based sentiment analysis.
Gathers machine learning and Tensorflow deep learning models for NLP problems
Chinese Characters Visualization & Chinese Text Augmentation.
Use online translation tool to effectively generates new datasets in other language from original datasets, especially from those popular standard baseline datasets for specific tasks.
Bangla Text Augmentation
ANSI and Unicode are encoding standards used across the world by writers and common users. ANSI is an older encoding version and is used in operating systems like Windows 95/ 98 and much older systems. Unicode is a newer version of encoding used in the current day operating systems
This library helps you to create random words i.e noise in text data. Helpful in many tasks like the generation of random authorization token generation of constant or variable length, text data augmentation, etc.
solution for https://www.kaggle.com/c/google-quest-challenge
This repository contains the data and code for the paper "Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation" (EMNLP2022-Findings).
augmented reinforment learning in tensorflow with open gym and blender or unity
AAAI Knowledge NLP Submission
[WIP] Fast text augmentation for small text corvus
Fast Augmentation library for NLP
This repo offers a Python script using NLPAug library & RTT to augment text datasets. It processes TXT files in "data/" folder, translating text and creating augmented versions. Augmented data enhances NLP tasks like chatbot training & text classification. Includes overview of techniques, applications & implementation.
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