Spelling correction in english: Joint use of bi-grams and chunking

Abstract

The work presents the task of spelling correction realized in a batch mode with support of syntactic context. It uses the model of incomplete syntactic analysis, or chunking, described in Tesnière's dependencies. In order to improve the efficiency of chunking, the authors use a PoS-tagged dictionary of bi-grams. The program is written in Java; it uses UIMA framework and NLP@Cloud library. The paper presents the test results of the program execution on a collection of 100 clauses. It shows that the use of bi-grams can considerably increase the characteristics of the spelling corrector.