This repo collects and re-produces models related to domains of question answering and machine reading comprehension
Review-guided Helpful Answer Identification in E-commerce (WWW 2020)
My natural language processing class assignment: building language models for spelling correct. Used unigram, bigram, some smoothing, and some mix
A project that reads in a text file and analyzes the frequencies of words, at the unigram, bigram, and trigram levels, and randomly generates text based on the word frequency probability. This project was created as a project in my high school CS 2 class when I was in 10th grade.
Aim of the Project The aim of the project was to build a spell-checking program that would ensure the authenticity and correctness of any input word in the English language. If the entered word is correct, the program would confirm by displaying its meanings, and if not then it would assist the user by providing a few recommended searches based on the closest matches.
Do you wana check your child's english . Here it happens . Let them learn & play .
A Lucene 8.0.0 API based java application that, given a word from the user, scans an english dictionary and guesses the correct spell of the word
Based on HashTable.java and LinkedList2.java you practiced during the class. Refine the program to make it more useful. Your program should read in a text file, parse each word, see if it is in the hash table, and, if not, output the line number and word of the potentially misspelled word. Discard any punctuation in the original text file. Use the words.txt file as the basis for the hash table dictionary. The file contains 87,314 words in the English language. Test your spell-checker on a short text document.
An English text editor which has functions of spell check, auto complete and word suggests.
Enter a file name and the program compares each word to a list of words in the English Language and creates a new text file with incorrectly spelled words replaced.
