A Mixed Trigrams Approach for Context Sensitive Spell Checking

An extended spell checker for unknown words

Spell checking is considered a solved problem, but with the rapid development of the natural language processing the new results are slowly extending the means of spell checking towards grammar checking. In this article I review some of the spell checking error classes in a broader sense, the related problems, their state-of-the-art solutions and their different nature on different types of lan...

I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes

This paper presents a context sensitive spell checking system that uses mixed trigram models, and introduces a new empirically grounded method for building confusion sets. The proposed method has been implemented, tested, and evaluated in terms of coverage, precision, and recall. The results show that the method is effective.

Context-sensitive spell checking based on word trigram probabilities

Combining Trigram - based and Feature - based Methods forContext - Sensitive Spelling

This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of correcting particular word usage errors (such as amount and number, or among and between). Such corrections require contextual information and are not handled by conventional spelling programs such as Unix spell. First...

Context-sensitive Spelling Correction Using Google Web 1T 5-Gram Information

In computing, spell checking is the process of detecting and sometimes providing spelling suggestions for incorrectly spelled words in a text. Basically, a spell checker is a computer program that uses a dictionary of words to perform spell checking. The bigger the dictionary is, the higher is the error detection rate. The fact that spell checkers are based on regular dictionaries, they suffer ...