This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
-
Updated
Apr 16, 2023 - Jupyter Notebook
This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
A new metric for evaluating end-to-end speech recognition and disfluency removal systems
The repo is about implementation of Wagner-Fischer algorithm for calculating Levenshtein distance between two strings.
Calculates minimum edit distance between two words using Levenshtien and confusion cost matrix
Academy
Minimum Edit Distance (MED) Calculator
Algoritmos de programación dinámica
COMP 8730 Assignment 1
It is an enhanced version of the minimum edit distance algorithm with dynamic programming.
Utilize Minimum Edit distance to compute top-k auto-correct recommendation and evaluate the same using success in top-k method using pytrec_eval.
Simple English words spell checker for auto completing task using Shakespeare's corpus.
a jupyter notebook that computes for the levenshtein or minimum edit distance of 2 strings
Lightweight and typesafe strings in Scala
Add a description, image, and links to the minimum-edit-distance topic page so that developers can more easily learn about it.
To associate your repository with the minimum-edit-distance topic, visit your repo's landing page and select "manage topics."