Participants in electronic meetings are often fairly informal with their typing and make spelling and grammatical mistakes, perhaps realizing that such errors are not viewed as important in such free-flow, rapid-paced discussions. Although most researchers, group members, and meeting facilitators have noted these errors, no study has been conducted on the types of errors made or their correlati...

This paper introduces three types of Statistical Machine Translation (SMT) output errors that would require grammatical knowledge for prevention. The first type is due to words that are negative in meaning but not in form. Problems arise when the negative forms are obligatory in target languages. The second type of errors is derived from the rigidity of pattern phrases or correlatives which do ...

We present an unsupervised method for detecting grammatical errors by inferring negative evidence from edited textual corpora. The system was developed and tested using essay-length responses to prompts on the Test of English as a Foreign Language (TOEFL). The errorrecognition system, ALEK, performs with about 80% precision and 20% recall.

Automatic grammatical error detection for Chinese has been a big challenge for NLP researchers. Due to the formal and strict grammar rules in Chinese, it is hard for foreign students to master Chinese. A computer-assisted learning tool which can automatically detect and correct Chinese grammatical errors is necessary for those foreign students. Some of the previous works have sought to identify...

This paper presents ongoing work on the detection of preposition errors of non-native speakers of English. Since prepositions account for a substantial proportion of all grammatical errors by ESL (English as a Second Language) learners, developing an NLP application that can reliably detect these types of errors will provide an invaluable learning resource to ESL students. To address this probl...

The present study-both qualitative and quantitative--explored fifty EFL learners’ preferences for receiving error feedback on different grammatical units as well as their beliefs about teacher feedback strategies. The study also examined the effect of the students’ level of writing ability on their views about the importance of teacher feedback on different error types. Data was gathered throug...

Surface features of essays include nonlinguistic characteristics such as total number of words per essay (essay length), sentence length, and word length as well as linguistic characteristics such as the total number of grammatical errors, the types of grammatical errors, or the kinds of grammatical constructions (e.g., passive or active) that appear in an essay. This study examines the feasibi...

This research aims to identify the common errors in reading Arabic texts among students and their causes. As for method, researcher used a descriptive analytical method. Observation, interview, documentation were collect data. After carried out scientific research, I found that mistakes of learner are divided into two types, namely, grammatical morphological errors. Grammatical most frequent te...