NLP-enhanced Error Checking for Catalan Unrestricted Text

Abstract

We present here a general-purpose spell and grammar error detection architecture for Catalan unrestricted text. This architecture is based on a previous existing shallow morphosyntactic parser, which had to be adapted in order to successfully handle ill-formed input. The goal of this research is to obtain an architecture that can be used for developing morphosyntactic error checkers for both native and non-native speakers. We briefly present how we are currently customizing such an architecture in two different projects, as well as a means for annotating and exploiting error corpora (which ultimately condition the implementation of error checkers). We conclude with some remarks and future work.

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