In this work, we estimate the deterioration of NLP processing given an estimate of the amount and nature of grammatical errors in a text. From a corpus of essays written by English-language learners, we extract ungrammatical sentences, controlling the number and types of errors in each sentence. We focus on six categories of errors that are commonly made by English-language learners, and consid...

PURPOSE This study investigated the level of grammatical accuracy in typically developing 3-year-olds and the types of errors they produce. METHOD Twenty-two 3-year-olds participated in a picture description task. The percentage of grammatical utterances was computed and error types were analyzed. RESULTS The mean level of grammatical accuracy in typical 3-year-olds was ∼71%, with a wide ra...

Current approaches to language pedagogy recognize the fact that ESL learners need explicit help to improve the grammatical accuracy of their writing. This research investigates the utility of an online resource intended to improve advanced-level ESL learners’ writing by increasing their grammatical awareness and ability to correct the grammatical errors in their own writing. This classroom-base...

We introduce a novel method for grammatical error correction with a number of small corpora. To make the best use of several corpora with different characteristics, we employ a meta-learning with several base classifiers trained on different corpora. This research focuses on a grammatical error correction task for article errors. A series of experiments is presented to show the effectiveness of...

This paper proposes an unsupervised approach that automatically detects and corrects a text containing multiple errors of both syntactic and semantic nature. The number of errors that can be corrected is equal to the number of correct words in the text. Error types include, but are not limited to: spelling errors, real-word spelling errors, typographical errors, unwanted words, missing words, p...

In this study we focused on the spelling of high-functioning students with dyslexia. We made a detailed classification of the errors in a word and sentence dictation task made by 100 students with dyslexia and 100 matched control students. All participants were in the first year of their bachelor's studies and had Dutch as mother tongue. Three main error categories were distinguished: phonologi...

This study attempted to compare corrected linguistic errors in foreign language classrooms and all errors occurring in these classes to see which types of errors are more attended to by teachers in relation to their occurrence in classes. For this purpose, 69 hours of the classes of 34 teachers teaching in different language schools were recorded and the errors corrected by these teachers were ...

This paper presents a Constraint Grammarbased pedagogical proofing tool for Danish. The system recognizes not only spelling errors, but also grammatical errors in otherwise correctly spelled words, and categorizes errors for WORD-integrated pedagogical comments. Possible spelling corrections are prioritized from context, and grammatical corrections generated by a morphological module. The syste...

Grammatical error correction (GEC) is the task of automatically correcting grammatical errors in written text. Earlier attempts to grammatical error correction involve rule-based and classifier approaches which are limited to correcting only some particular type of errors in a sentence. As sentences may contain multiple errors of different types, a practical error correction system should be ab...