Automatic spelling correction has been receiving sustained research attention. Although
each article contains a brief introduction to the topic, there is a lack of work that would …

Abstract Systems and methods are provided for identifying one or more target words of a
corpus that have a lexical relationship to a plurality of provided cue words. The cue words …

This book provides a perspective on the application of machine learning-based methods in
knowledge discovery from natural languages texts. By analysing various data sets …

Automated Evaluation of Writing – 50 Years and Counting Page 1 Proceedings of the 58th
Annual Meeting of the Association for Computational Linguistics, pages 7796–7810 July 5 - 10 …

The increasing portability of physical manuscripts to the digital environment makes it
common for systems to offer automatic mechanisms for offline Handwritten Text Recognition …

We focus on two leading state-of-the-art approaches to grammatical error correction–
machine learning classification and machine translation. Based on the comparative study of …

We present an unsupervised context-sensitive spelling correction method for clinical free-
text that uses word and character n-gram embeddings. Our method generates misspelling …

We present a novel situational task that integrates collaborative problem solving behavior
with testing in a science domain. Participants engage in discourse, which is used to evaluate …

Spelling correction has attracted a lot of attention in the NLP community. However, models
have been usually evaluated on artificiallycreated or proprietary corpora. A publiclyavailable …

Conversations in collaborative problem‐solving activities can be used to probe the
collaboration skills of the team members. Annotating the conversations into different …