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Du, Wei; Saeheaw, Teeraporn – Language Learning in Higher Education, 2020
Translation teachers have long experimented with various methods to help students improve their translation competence. This study approaches the issue by developing an assessment framework based on error analysis and a translation grading system, with the aim of identifying the most common and frequent errors committed by students in their…
Descriptors: Translation, Error Analysis (Language), Chinese, English (Second Language)
Alenazi, Yasir; Chen, Shen; Picard, Michelle; Hunt, Jaime W. – International TESOL Journal, 2021
The English language plays a significant role in Saudi Arabia at the local and international levels. Spelling errors, as one of the challenging elements in writing confronted by Saudi learners of English, have a negative effect on the quality of their written translation products (Ababneh, 2019). Therefore, more analytical studies are needed to…
Descriptors: Computational Linguistics, Translation, English (Second Language), Second Language Learning
Li, Yanru – English Language Teaching, 2022
This study investigated the erroneous use of the high-frequency verb TAKE by the Chinese college learners of English as a foreign language (EFL), aiming to identify the similarities and differences between Chinese EFL learners, aimed at finding out more effective ways for the teaching and researching of the high-frequency verbs. Corpus-based…
Descriptors: Computational Linguistics, Verbs, Second Language Learning, Second Language Instruction
Alshehri, Asmaa; Alasmari, Muhammad; Qasem, Fawaz; Ahmed, Rashad – Arab World English Journal, 2022
Developing a writer's voice is a challenging task for second-language writers who are new not only to the culture but also to the values associated with the target language. This study aims at exploring the writer's voice of Arabic-speaking learners who study English as a Second Language. The study mainly discusses the following question: Do L2…
Descriptors: Arabs, English (Second Language), Second Language Learning, Second Language Instruction
Özkayran, Ali; Yilmaz, Emrullah – Advances in Language and Literary Studies, 2020
The aim of this study is to analyse the errors of higher education students in English writing tasks. In the study, the paragraphs in the exam papers of 57 preparatory class students, studying at a state university in Turkey in 2017-2018 academic year, were analysed. The study was conducted using qualitative research method. Case study was used in…
Descriptors: College Students, Error Analysis (Language), Case Studies, Second Language Learning
Qin, Ying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…
Descriptors: Taxonomy, Translation, Computer Assisted Instruction, Second Language Learning
Hunt-Gómez, Coral I.; Navarro-Pablo, Macarena – Problems of Education in the 21st Century, 2020
English Foreign Language (EFL) teachers need to be especially aware of their own articulatory errors and to manage strategies to overcome them. A specific corrective strategy using phonetic notation to destabilise the most recurrent articulatory errors to be applied to Spanish pre-service English Primary School teachers is presented. Firstly, the…
Descriptors: Preservice Teachers, Language Teachers, Elementary School Teachers, Foreign Countries
Yaseen, Ahmed Abdoualzhraa; Ismail, Kemboja; Yasin, Mohamad Subakir Mohd – Arab World English Journal, 2018
This study investigates the syntactic errors in speaking among an Arab L2 post-graduate student in an academic speaking context. Specifically, the objectives are to describe the syntax error patterns committed by the student while engaging in speaking and to explore the contributing factors that may affect the errors. To address these objectives,…
Descriptors: Syntax, Error Analysis (Language), Native Language, Second Language Learning
Moqimipour, Kourosh; Shahrokhi, Mohsen – International Education Studies, 2015
The present study aimed at analyzing writing errors caused by the interference of the Persian language, regarded as the first language (L1), in three writing genres, namely narration, description, and comparison/contrast by Iranian EFL students. 65 English paragraphs written by the participants, who were at the intermediate level based on their…
Descriptors: Foreign Countries, Error Patterns, English (Second Language), Second Language Learning
Al-Saidat, Emad M.; Warsi, Mohammad J. – Indian Journal of Applied Linguistics, 2011
The major portion of this paper is devoted to delineate the types of errors made by Arab learners of English in the area of the article system. By so doing, the paper classifies learners' errors according to the Surface Structure Taxonomies of errors, and illustrates the possible sources of these errors. In order to overcome learners' difficulties…
Descriptors: Surface Structure, English (Second Language), Second Language Learning, Classification

Lott, David – ELT Journal, 1983
Areas of contradiction and controversy over error analysis are discussed, and an interference error analysis project is described, giving a detailed definition of interference error. Several practical approaches to teaching out interference errors are outlined. (MSE)
Descriptors: Classification, English (Second Language), Error Analysis (Language), Error Patterns
Rimrott, Anne; Heift, Trude – CALICO Journal, 2005
This paper presents a study in which we examined spelling mistakes made by 34 learners of German in an online CALL exercise. We analyzed a total of 374 spelling errors that occurred in 341 words and subsequently classified them along four dimensions: (a) competence versus performance, (b) linguistic subsystem, (c) language influence, and (d)…
Descriptors: Spelling, Program Effectiveness, Error Correction, Computer Assisted Instruction