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Tuc C. Chau – ProQuest LLC, 2023
The purpose of the current dissertation is to map the relationships between first language (L1), writing quality, and syntactic complexity, accuracy, lexical complexity, and fluency (CALF) in second language (L2) writing. CALF are characteristics of language production that have been of significant interest in L2 writing research for the past few…
Descriptors: Correlation, Native Language, Second Language Learning, Second Language Instruction
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Monteiro, Kátia R.; Crossley, Scott A.; Kyle, Kristopher – Applied Linguistics, 2020
Lexical items that are encountered more frequently and in varying contexts have important effects on second language (L2) development because frequent and contextually diverse words are learned faster and become more entrenched in a learner's lexicon (Ellis 2002a, b). Despite evidence that L2 learners are generally exposed to non-native input,…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Benchmarking
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Tywoniw, Rurik; Crossley, Scott – Language Education & Assessment, 2019
Cohesion features were calculated for a corpus of 960 essays by 480 test-takers from the Test of English as a Foreign Language (TOEFL) in order to examine differences in the use of cohesion devices between integrated (source-based) writing and independent writing samples. Cohesion indices were measured using an automated textual analysis tool, the…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Connected Discourse
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Kyle, Kristopher; Choe, Ann Tai; Eguchi, Masaki; LaFlair, Geoff; Ziegler, Nicole – ETS Research Report Series, 2021
A key piece of a validity argument for a language assessment tool is clear overlap between assessment tasks and the target language use (TLU) domain (i.e., the domain description inference). The TOEFL 2000 Spoken and Written Academic Language (T2K-SWAL) corpus, which represents a variety of academic registers and disciplines in traditional…
Descriptors: Comparative Analysis, Second Language Learning, English (Second Language), 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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Beigman Klebanov, Beata; Ramineni, Chaitanya; Kaufer, David; Yeoh, Paul; Ishizaki, Suguru – Language Testing, 2019
Essay writing is a common type of constructed-response task used frequently in standardized writing assessments. However, the impromptu timed nature of the essay writing tests has drawn increasing criticism for the lack of authenticity for real-world writing in classroom and workplace settings. The goal of this paper is to contribute evidence to a…
Descriptors: Test Validity, Writing Tests, Writing Skills, Persuasive Discourse
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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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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