There are 0 repository under editdistance topic.
Incremental update tool to UITableView and UICollectionView
Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).
Edit-distance PyTorch extension with Cpu and CUDA kernels
Generalized edit distance command line tool
In this project, we propose Dynamic Typing Tutor, an individual tutoring system for text entry that detects input stumbles and provides instructions. The different tasks performed by the dynamic typing tutor are:- user profiling, word prediction and word correction
Novel algorithm to generate shortest edit script.
Spell Checking and Correcting using a HashTable Implementation and the Edit Distance Algorithm in C
This repository is all about various concepts related Dynamic Programming.It also contains solutions to problems from various online judges, organized by topic.
Spell Checker using a bottom-up Dynamic programming approach in C++
Levenshtein Algorithm based approach, Levenshtein Algorithm (Edit distance algorithm) is used to find the similarity between two strings.
Chat bot simple, como proyecto escolar, para dar información a aspirantes interesados en ingresar a la UPIIZ IPN. Usa el algoritmo edit distance.
University Course Assignments - Speech Signal Prcessing
Tired of spelling errors in your text? Say goodbye to embarrassing mistakes with the AI Autocorrect System, designed to boost the accuracy of your typing! 🎯
Internship I had at Edge Networks in summer 2020.
🔍The backend is constructed by Java, using algorithms of JSoup, InvertedIndex, TST, heapSelect, quickSort, and editDistance
WSM Project of spell checker implemented in Python
Minimum Edit Distance & Levensthein Distance in Java Script
Developed a seach engine using Eclipse IDE, Java, HTML, CSS, and Bootstrap and used HTML to Text using Jsoup, Tokenization, Inverted Index, and Edit Distance to find best result relevant to input
🍛 Anime name matcher across database
Solution to CLRS problems
Recognition of handwritten and machine characters is an emerging area of research and finds extensive applications everywhere. Our application accepts an image/document in the form of a .png extension and pre-processes the manually written text to neatly segment it into parts. After segmentation, the recognition of simple isolated characters or strokes helps us to translate the human handwritten text to give an output in the form of digital text and audio that reads the text present in the image uploaded
This is a problem which is asked to solve in my Data Structure & Algorithm Lab.
This is a Python tool for Streamlit that automates redirect mappings during site migrations by matching URLs from an old site to a new site based on content similarity.