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Song, Qiuyuan – English Language Teaching, 2021
This study aims to explore how corpus-based approaches can be used to address the distinctions of English near-synonyms effectively. Especially, it collected source data from the British National Corpus (BNC) and adopted Sketch Engine (SkE) as an analyzing tool to compare the near synonymous pair "damage" and "destroy" commonly…
Descriptors: Computational Linguistics, Phrase Structure, English, Language Usage
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
Zhan, Huifang – English Language Teaching, 2015
This paper investigated a large number of errors found in the topic-based writings of Chinese EFL learners, especially provided an analysis on frequent errors, to find useful pedagogical implications for English grammar teaching and writing instruction in Chinese EFL setting. Students' topic-based writings were examined by the author. The findings…
Descriptors: Foreign Countries, English (Second Language), Error Analysis (Language), Error Patterns
Manokaran, Janaki; Ramalingam, Chithra; Adriana, Karen – English Language Teaching, 2013
This research is a corpus-based study of secondary and college ESL Malaysian learner's written work by identifying and classifying the types of errors in the Past Tense Auxiliary "Be". This research studied the past tense auxiliary "be", types of past tense auxiliary "be" errors and frequency of past tense auxiliary…
Descriptors: Foreign Countries, Persuasive Discourse, Morphemes, Verbs
Watcharapunyawong, Somchai; Usaha, Siriluck – English Language Teaching, 2013
This study aimed at analyzing writing errors caused by the interference of the Thai language, regarded as the first language (L1), in three writing genres, namely narration, description, and comparison/contrast. 120 English paragraphs written by 40 second year English major students were analyzed by using Error Analysis (EA).The results revealed…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Interference (Language)