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Barron, Anne; Pandarova, Irina; Muderack, Karoline – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2015
The present study, situated in the area of variational pragmatics, contrasts tag question (TQ) use in Ireland and Great Britain using spoken data from the Irish and British components of the International Corpus of English (ICE). Analysis is on the formal and functional level and also investigates form-functional relationships. Findings reveal…
Descriptors: Language Variation, Computational Linguistics, Pragmatics, Foreign Countries
Touri, Maria; Koteyko, Nelya – International Journal of Social Research Methodology, 2015
The article seeks to demonstrate the contribution that corpus linguistic software can make in news frame analysis and how it can help address some of the methodological challenges in the extraction of news frames. With the employment of corpus linguistic software WordSmith, the study conducts an inductive frame analysis of the UK press coverage of…
Descriptors: Computational Linguistics, Computer Software, Foreign Countries, Journalism
Snyder, Robin M. – Association Supporting Computer Users in Education, 2015
The field of topic modeling has become increasingly important over the past few years. Topic modeling is an unsupervised machine learning way to organize text (or image or DNA, etc.) information such that related pieces of text can be identified. This paper/session will present/discuss the current state of topic modeling, why it is important, and…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Computational Linguistics
Ozturk, Meral – Reading Matrix: An International Online Journal, 2017
Dictionary studies have suggested that nearly half of the English lexicon have multiple meanings. It is not yet clear, however, if second language learners reading English texts will encounter words with multiple meanings to the same degree. This study investigates the use of words with multiple meanings in an authentic English novel. Two samples…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Literature
Mbaziira, Alex Vincent – ProQuest LLC, 2017
Cybercriminals are increasingly using Internet-based text messaging applications to exploit their victims. Incidents of deceptive cybercrime in text-based communication are increasing and include fraud, scams, as well as favorable and unfavorable fake reviews. In this work, we use a text-based deception detection approach to train models for…
Descriptors: Crime, Information Security, Models, Networks
Cai, Zhiqiang; Eagan, Brendan; Dowell, Nia M.; Pennebaker, James W.; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2017
This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…
Descriptors: Epistemology, Network Analysis, Cooperative Learning, Computer Software
Wray, Alison – Language Teaching, 2013
Creating a timeline for formulaic language is far from simple, because several partially independent lines of research have contributed to the emerging picture. Each exhibits cycles of innovation and consolidation over time: domains take a leading role in developing new knowledge and then fall back, while another area comes to the fore. Thus, some…
Descriptors: Neurolinguistics, Syntax, Language Patterns, Computational Linguistics
Harvey-Scholes, Calum – Computer Assisted Language Learning, 2018
Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
What to Expect from Neural Machine Translation: A Practical In-Class Translation Evaluation Exercise
Moorkens, Joss – Interpreter and Translator Trainer, 2018
Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…
Descriptors: Translation, Teaching Methods, Computational Linguistics, Quality Assurance
Özer, Havva Zorluel; Okan, Zuhal – Journal of Language and Linguistic Studies, 2018
This study aims at determining discourse markers used by Turkish teachers and native teachers in EFL classrooms and comparing these items in terms of variety and frequency. To reach the objectives of the present study, two separate corpora were compiled through audio-recordings collected from two Turkish and two native EFL teachers? lectures.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Native Speakers
Mitkovska, Liljana; Bužarovska, Eleni – Second Language Research, 2018
This article investigates phenomena related to subject pronoun realization in the English interlanguage of Macedonian learners. Preliminary research indicates that learners tend to omit the subject pronoun in both referential and non-referential contexts. It can be presumed that such interlanguage features are due to crosslinguistic influence,…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Grammar
Wei, Tao; Schnur, Tatiana T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Processing semantically related stimuli creates interference across various domains of cognition, including language and memory. In this study, we identify the locus and mechanism of interference when retrieving meanings associated with words and pictures. Subjects matched a probe stimulus (e.g., cat) to its associated target picture (e.g., yarn)…
Descriptors: Semantics, Cues, Pictorial Stimuli, Interference (Learning)
He, Qingshun – English Language Teaching, 2016
English language learners may be confused in identifying the grammatical category of such conjunctive expressions as "before," "after" and "since" introducing non-finite "-ing" clauses. In this article, we will conduct a corpus-based investigation of hypotactic conjunctions and conjunctive prepositions…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Form Classes (Languages)
Lukac, Morana – Journal of Multilingual and Multicultural Development, 2016
The public's concern with the fate of the standard language has been well documented in the history of the complaint tradition. The print media have for centuries featured letters to the editor on questions of language use. This study examines a corpus of 258 language-related letters to the editor published in the English-speaking print media. By…
Descriptors: Standard Spoken Usage, Standards, Editing, Computational Linguistics
Carsten, Svetlana; Ciobanu, Drago?; Mankauskiene, Dalia – Interpreter and Translator Trainer, 2021
Measuring the quality of information and communication technology (ICT) tools and their impact on learning outcomes is not an easy task. Carol Chapelle, the leading authority on the evaluation of computer-assisted language learning (CALL) tools, wrote in 2008: 'Evaluation of innovation is perhaps the most significant challenge teachers and…
Descriptors: Case Studies, Translation, Computer Assisted Instruction, Educational Innovation