Paper: How To Detect Grammatical Errors In A Text Without Parsing IT

ACL ID E87-1007
Title How To Detect Grammatical Errors In A Text Without Parsing IT
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1987
Authors

The Constituent Likelihood Automatic Word-tagging System (CLAWS) was originally designed for the low-level grammatical analysis of the million-word LOB Corpus of English text samples. CLAWS does not attempt a full parse, but uses a firat-order Markov model of language to assign word-class labels to words. CLAWS can be modified to detect grammatical errors, essentially by flagging unlikely word-class transitions in the input text. This may seem to be an intuitively implausible and theoretically inadequate model of natural language syntax, but nevertheless it can successfully pinpoint most grammatical errors in a text. Several modifications to CLAWS have been explored. The resulting system cannot detect all errors in typed documents; but then neither do far more complex systems, which attemp...