Results 21 to 30 of about 1,711,686 (277)
An Automatic Error Detection Method for Machine Translation Results via Deep Learning
IEEE Access, 2023 Nowadays, the rapid development of natural language processing has brought great progress for the area of machine translation. Various deep neural network-based machine translation approaches have been more and more general.
Weihong Zhang
doaj +1 more source
Error report for Joel et al. (2017)
Joel, Eastwick, & Finkel (2017) "Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction" was determined to contain Minor Errors that do not affect the core conclusions of the manuscript.
ERROR
core +6 more sources
Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality [PDF]
Transactions of the Association for Computational Linguistics, 2016 The field of grammatical error correction (GEC) has grown substantially in recent years, with research directed at both evaluation metrics and improved system performance against those metrics. One unvisited assumption, however, is the reliance of GEC evaluation on error-coded corpora, which contain specific labeled corrections.
Keisuke Sakaguchi +3 more
openaire +3 more sources
An Analysis of English Writing Errors of Freshmen Students’ Essays: The Case of ‘Aleksandër Moisiu’ University [PDF]
Athens Journal of Education, 2023 One of the most important elements of English language is the writing skill. It is a competence which human beings are not born with; on the contrary, it is learnt with practice and experience.
Miranda Enesi , Anisa Trifoni
doaj +1 more source
GRAMMATICAL ERROR ON STUDENTS’ RESEARCH PROPOSAL WRITING
Jurnal Smart, 2023 This article is: (1) to find the students grammatical errors types in writing research proposal; (2) to investigate their reasons of having grammatical errors, and (3) to find the solutions in minimizing the grammatical errors.
Siswoyo Siswoyo +2 more
doaj +1 more source
Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings
Journal of Natural Language Processing, 2018 In this study, we improve grammatical error detection by learning word embeddings that consider grammaticality and error patterns. Most existing algorithms for learning word embeddings usually model only the syntactic context of words so that classifiers treat erroneous and correct words as similar inputs.
Masahiro Kaneko +2 more
openaire +3 more sources
Interaction between phonological and grammatical processing in single word production in Kiswahili [PDF]
, 2004 Grammatical priming of picture naming was investigated in Kiswahili, which has a complex grammatical noun class system (a system like grammatical gender), with up to 15 noun classes that have obligatory agreements on adjectives, verbs, pronouns and other
Ngorosho, D, Alcock, K. J.
core +4 more sources
Automated Grammatical Error Correction:A Comprehensive Review
NUST Journal of Engineering Sciences, 2018 Automatic Grammatical Error Correction is one of the most challenging and continuously evolving areas of linguistics which aims at automatically detecting and correcting the grammatical errors in the text.
Sadaf Abdul Rauf +5 more
doaj +1 more source
ChatGPT for Arabic Grammatical Error Correction
CoRR, 2023 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