Spell Checking Techniques in NLP: A Survey
نویسندگان
چکیده
Spell checkers in Indian languages are the basic tools that need to be developed. A spell checker is a software tool that identifies and corrects any spelling mistakes in a text. Spell checkers can be combined with other applications or they can be distributed individually. In this paper the authors are discussing both the approaches and their roles in various applications.
منابع مشابه
A Survey of Spelling Error Detection and Correction Techniques
Spelling Correction is a process of detecting and sometimes providing suggestions for incorrectly spelled words in a text. Spell Checker is an application program that flags words in a document that may not be spelled correctly. Spell Checker may be stand-alone capable of operating on a block a text such as word processor, electronic dictionary. When some text is given as an input to spell chec...
متن کاملSpell Checker for Non Word Error Detection: Survey
Spell checker is a software tool which is used to detect the spelling errors in a text document. A spell checker can also provide suggestions to correct the misspellings. The error can be either non word error or real word error. Detecting real word error is really difficult task and requires advanced statistical and Natural Language Processing (NLP) techniques. Currently we have many methods f...
متن کاملIntegrating Dictionary and Web N-grams for Chinese Spell Checking
Chinese spell checking is an important component of many NLP applications, including word processors, search engines, and automatic essay rating. Nevertheless, compared to spell checkers for alphabetical languages (e.g., English or French), Chinese spell checkers are more difficult to develop because there are no word boundaries in the Chinese writing system and errors may be caused by various ...
متن کاملIntroduction to SIGHAN 2015 Bake-off for Chinese Spelling Check
This paper introduces the SIGHAN 2015 Bake-off for Chinese Spelling Check, including task description, data preparation, performance metrics, and evaluation results. The competition reveals current state-of-the-art NLP techniques in dealing with Chinese spelling checking. All data sets with gold standards and evaluation tool used in this bake-off are publicly available for future research.
متن کاملALLES: Integrating NLP in ICALL Applications
This paper describes how mature NLP that has been successfully applied in the area of controlled language checking can be used to deliver intelligent CALL applications1. It describe how an autonomous, long-distance second-language learning system for advanced learners can be created. The architecture of the system consists of a multimodal user interface, a set of skill-specific learning tools, ...
متن کامل