Natural Language Processing
-
Updated
Mar 30, 2021 - Jupyter Notebook
Natural Language Processing
Word Sense Disambiguation using the Lesk algorithm with Word2Vec embeddings
Word sense disambiguation using lesk algorithm and word embeddings, CL-2 | Monsoon 2020
Practices for PBL Natural Language Processing class
Learning techniques related to NLP
A project to apply Abbott’s heuristics to natural language software engineering scenarios using NLP.
Group project for the 4 assignments of IS661-Text-Analytics at the University of Mannheim
WSD and analyis for two technique namely HMM and word embedding overlap
The examples I prepared and brought together about the natural language processing topics I learned.
A pipeline for transliteration, spell correction, POS tagging and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.
Add a description, image, and links to the lesk-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the lesk-algorithm topic, visit your repo's landing page and select "manage topics."