Automated Writing Support for Swedish Learners

Abstract

This paper describes a tool developed for lexical and grammatical analysis of Swedish text and providing automated feedback for language learners. The system looks for words and word sequences that are likely to contain errors and suggests how to correct them using different non-neural models. The feedback consists of alternative word and word sequence suggestions and morphological features which need to be corrected. Although the system is able to provide reasonable feedback which is believed to be useful for language learners, it still needs further improvements to address the drawbacks such as low precision.