Data augmentation for NLP, presented at EMNLP 2019
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Updated
Mar 19, 2023 - Python
Data augmentation for NLP, presented at EMNLP 2019
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
Extract Information from web corpus using Open Information Extraction.
ICLR 2018 Quick-Thought vectors
📃Language Model based sentences scoring library
10,000 sentences: an Android app to help you learn new words in foreign languages
Python API & command-line tool to easily transcribe speech-based video files into clean text
Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)
Apache OpenNLP wrapper for Nodejs
Russian language support for NLTK's PunktSentenceTokenizer
Port of PragmaticSegmenter for sentence boundary detection
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
A program that can generate a secure password of up to 100 characters, extract securely selected words from the diceware wordlist, generate a password from a sentence, and check for vulnerabilities in a given password.
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