Results 101 to 110 of about 67,162,078 (293)
Distinguishing between learner vs. novice writing features: A crosslinguistic approach
, 2019 In recent decades, studies in Learner Corpus Research have highlighted features that are considered to be typical of English as a foreign Language learner writing, such as register unawareness and overuse of reader/writer visibility features (e.g ...
Jadoulle, Pauline +1 more
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Advanced Intelligent Discovery, EarlyView.An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Exploring Multi-Word Verbs of Motion in EFL and NS Narrative Writing
Journal of the European Second Language AssociationMulti-word verbs (MWVs) can represent a challenge for EFL learners, with difficulties arising from the array of verb–particle combinations, many of which are polysemous and semantically opaque.
Erik Castello, Katherine Ackerley
doaj +1 more source
SVALA: an Annotation Tool for Learner Corpora generating parallel texts
, 2019 Learner corpora are actively used for research on Language Acquisition and in Learner Corpus Research (LCR). The data is, however, very expensive to collect and manually annotate, and includes steps like anonymization, normalization, error annotation ...
Matsson, Arild, +3 more
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Corpus-based collocation research targeted at Japanese language learners
Acta Linguistica Asiatica, 2014 This paper discusses corpus-based research on collocations, introduces various tools for querying and extracting Japanese collocations and presents an analysis of Japanese collocations using language corpora and related tools. First, major corpus query tools such as Sketch Engine, NINJAL-NLP, Natsume, Chunagon, which can be used by learners and ...
openaire +4 more sources
Advanced Intelligent Discovery, EarlyView.With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley +1 more source
, 2017 In her assessment of the contribution of learner corpus research to the design of teaching materials, Granger (2015a: 494) states that "[w]hile learner corpus data has had a significant though still modest effect on dictionaries and grammars, its impact ...
Möller, Verena, Learner Corpus Research
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Advanced Intelligent Discovery, EarlyView.We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Twenty Years of Learner Corpus Research: Looking back, Moving ahead
, 2013 Learner corpus research is a young but vibrant new brand of research which stands at a crossroads between corpus linguistics, second language acquisition and foreign language teaching.
Gilquin, Gaëtanelle +2 more
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