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Test of English as a Foreign…13
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Kyle, Kristopher; Eguchi, Masaki; Choe, Ann Tai; LaFlair, Geoff – Language Testing, 2022
In the realm of language proficiency assessments, the domain description inference and the extrapolation inference are key components of a validity argument. Biber et al.'s description of the lexicogrammatical features of the spoken and written registers in the T2K-SWAL corpus has served as support for the TOEFL iBT test's domain description and…
Descriptors: Language Variation, Written Language, Speech Communication, Inferences
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Jahangard, Ali – MEXTESOL Journal, 2022
One of the most interesting studies on the role of L1 and contrastive analysis in vocabulary teaching is by Laufer and Girsai (2008). However, due to some methodological issues, their research findings are open to criticism and controversy. The current study aimed to replicate the research with a more rigorous design to re-investigate the…
Descriptors: Grammar, Vocabulary Development, Second Language Learning, Second Language Instruction
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Miao, Yongzhi – Language Testing, 2023
Scholars have argued for the inclusion of different spoken varieties of English in high-stakes listening tests to better represent the global use of English. However, doing so may introduce additional construct-irrelevant variance due to accent familiarity and the shared first language (L1) advantage, which could threaten test fairness. However,…
Descriptors: Pronunciation, Metalinguistics, Native Language, Intelligibility
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Schenck, Andrew; Baldwin, Matthew – Online Submission, 2019
When viewed through a generic, one-size-fits-all perspective, use of input enhancement does not appear effective. Through analysis of individual grammatical features and different learner proficiency levels, a significant impact may be revealed. To study the impact of input enhancement on diverse grammatical features, 16 short reading texts and…
Descriptors: Grammar, Linguistic Input, Language Proficiency, Teaching Methods
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Lu, Xiaofei – Language Testing, 2017
Research investigating corpora of English learners' language raises new questions about how syntactic complexity is defined theoretically and operationally for second language (L2) writing assessment. I show that syntactic complexity is important in construct definitions and L2 writing rating scales as well as in L2 writing research. I describe…
Descriptors: Syntax, Computational Linguistics, Second Language Learning, Writing Research
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Biber, Douglas; Gray, Bethany; Staples, Shelley – Applied Linguistics, 2016
In the present article, we explore the extent to which previous research on register variation can be used to predict spoken/written task-type variation as well as differences across score levels in the context of a major standardized language exam (TOEFL iBT). Specifically, we carry out two sets of linguistic analyses based on a large corpus of…
Descriptors: Predictor Variables, Scores, Standardized Tests, Language Tests
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Gray, Bethany; Geluso, Joe; Nguyen, Phuong – ETS Research Report Series, 2019
In the present study, we take a longitudinal, corpus-based perspective to investigate short-term (over 9 months) linguistic change in the language produced for the spoken and written sections of the "TOEFL iBT"® test by a group of English-as-a-foreign-language (EFL) learners in China. The goal of the study is to identify patterns that…
Descriptors: Grammar, Computer Assisted Testing, Phrase Structure, Language Proficiency
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Römer, Ute – Language Testing, 2017
This paper aims to connect recent corpus research on phraseology with current language testing practice. It discusses how corpora and corpus-analytic techniques can illuminate central aspects of speech and help in conceptualizing the notion of lexicogrammar in second language speaking assessment. The description of speech and some of its core…
Descriptors: Language Tests, Grammar, English (Second Language), Second Language Learning
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Staples, Shelley; Biber, Douglas; Reppen, Randi – Modern Language Journal, 2018
One of the central considerations in the validity argument for the TOEFL iBT is the relationship between the language on the exam and the language required for university courses. Corpus linguistics has recently been shown to be an effective way to explore this relationship, which can also be considered as an aspect of authenticity. Applying…
Descriptors: Computational Linguistics, Computer Assisted Testing, English (Second Language), Language Tests
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Cowan, Ron; Choo, Jinhee; Lee, Gabseon Sunny – Language Learning & Technology, 2014
This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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Biber, Douglas; Gray, Bethany – ETS Research Report Series, 2013
One of the major innovations of the "TOEFL iBT"® test is the incorporation of integrated tasks complementing the independent tasks to which examinees respond. In addition, examinees must produce discourse in both modes (speech and writing). The validity argument for the TOEFL iBT includes the claim that examinees vary their discourse in…
Descriptors: Discourse Analysis, English (Second Language), Second Language Learning, Language Tests
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Alshaar, Awatif Abu; AbuSeileek, Ali Farhan – JALT CALL Journal, 2013
This study aims to investigate the effect of using concordances and word processors on EFL graduates' performance in academic writing. To achieve this aim, the subjects were asked to use linguistics corpora and word processors to correct their grammatical and spelling mistakes in their written papers in a course that lasted for sixteen weeks. The…
Descriptors: Computational Linguistics, English (Second Language), Second Language Learning, Semi Structured Interviews
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Deane, Paul; Gurevich, Olga – ETS Research Report Series, 2008
For many purposes, it is useful to collect a corpus of texts all produced to the same stimulus, whether to measure performance (as on a test) or to test hypotheses about population differences. This paper examines several methods for measuring similarities in phrasing and content and demonstrates that these methods can be used to identify…
Descriptors: Test Content, Computational Linguistics, Native Speakers, Writing Tests