Results 31 to 40 of about 972,409 (241)
A Comparative Error Analysis: Iranian Monolingual and Bilingual Male and Female EFL Learners [PDF]
Error analysis is considered as an invaluable pedagogical tool in teaching English as a foreign/second language (EFL/ESL). Despite abundant research, there are still lacunae in studies investigating the written grammatical errors among monolingual and ...
Maryam Moazzeni Limoudehi +3 more
doaj +1 more source
ChatGPT for Arabic Grammatical Error Correction
Recently, large language models (LLMs) fine-tuned to follow human instruction have exhibited significant capabilities in various English NLP tasks. However, their performance in grammatical error correction (GEC) tasks, particularly in non-English languages, remains significantly unexplored.
Sang Yun Kwon +3 more
openaire +3 more sources
Error analysis is a way to investigate errors in the second or foreign language acquisition. This study of error analysis is part of an investigation of the process of English language learning. Making grammatical errors by students of English as a
Abdulrahman Ali Al Towity
doaj +1 more source
GenERRate: generating errors for use in grammatical error detection [PDF]
This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical.
Foster, Jennifer, Andersen, Øistein E.
core +2 more sources
Spoken Language ‘Grammatical Error Correction’ [PDF]
Spoken language ‘grammatical error correction’ (GEC) is an important mechanism to help learners of a foreign language, here English, improve their spoken grammar. GEC is challeng- ing for non-native spoken language due to interruptions from disfluent speech events such as repetitions and false starts and issues in strictly defining what is acceptable ...
Lu, Yiting, Gales, Mark JF, Wang, Yu
openaire +2 more sources
The acquisition of grammatical categories [PDF]
Grammatical categories encode conceptual domains and contrast them with others. They include the part-of-speech categories of words as well as morphological markers that encode functions like number, case, gender, tense, aspect or voice.
Behrens, Heike, Heike Behrens
core +1 more source
A comparative evaluation of deep and shallow approaches to the automatic detection of common grammatical errors [PDF]
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses the XLE LFG parser and English grammar: two versions are presented, one ...
Foster, Jennifer +2 more
core +2 more sources
This research investigates “Grammarly” as one tool of an online assessment in identifying grammatical and mechanical errors of students in writing English. This research is descriptive qualitative research.
Tira Nur Fitria
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Gender assignment and gender agreement in advanced French interlanguage: a cross-sectional study [PDF]
An analysis of 519 gender errors (out of 9,378 modifiers) in the advanced French interlanguage of 27 Dutch L1 speakers confirms earlier findings that gender assignment and/or agreement remain problematic for learners at all levels.
Véronique, D., Dewaele, Jean-Marc
core +1 more source
Grammatical Errors On Social Media [PDF]
This article discusses grammatical error in social media post. The objectives are to investigate the types of common errors by social media users. By describing the dominant errors and also elaborate on the reason why social media users did the errors on
Hasugian, Novitriani +3 more
core +1 more source

