Natural language generation - the dumb way
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Updated
May 30, 2016 - Python
Natural language generation - the dumb way
word2vec with a context based on sentences.
Yet Another Sequence Encoder - Encode sequences to vector of vector in python !
A pos-tagging library with Viterbi, CYK and SVO -> XSV translator made as part of my final exam for the Cognitive System course in Department of Computer Science.
Extract Information from web corpus using Open Information Extraction.
Senna is a powerful tool for NLP with the help of Senna the process like NER, POS, Chunker and SRL process can be done but NLTK have a interface mode to Senna but don't provide interface compelete use of the tool( lack api SRL). Sematic Role Labelling is process using NLP.
To reduce time of doing wordvoyage lessons
NLP Related Projects including Lesk implementation, Viterbi Algorithm, Sentence Probability Calculation - Monogram,Bi gram, Tri Gram(with and without Smoothing)
Contains implementation of models like BiLSTM CRF, Hierarchical BiLSTM for POS Tagging.
PY - Generates permutations of all sentences, using list of words 🎉
A Quick Thought implemented by pytorch.
Sentence Topic Prediction using Topic Modeling
ICLR 2018 Quick-Thought vectors
A program which accepts as an input a sentence and some key words and then returns the sentence with the key words capitalized.
Language identification with as few characters as possible
Add a description, image, and links to the sentence topic page so that developers can more easily learn about it.
To associate your repository with the sentence topic, visit your repo's landing page and select "manage topics."