Results 101 to 110 of about 3,064 (300)
Combining Learner Corpora and Experimental Methods
, 2020 This chapter deals with the combined use of learner corpus data and experimental data to gain a better understanding of learner language and how it is acquired. It presents the advantages of such a combination and some of its challenges. It also describes the experimental methods that have most often been combined with learner corpus analyses. Examples
openaire +2 more sources
Automatic error tagging of spelling mistakes in learner corpora
, 2011 Manual error tagging of learner corpus data is time consuming and creates a bottleneck in the analysis of learner corpora. This had led researchers to apply techniques from the area of natural language processing to assist in the automatic analysis of ...
Baron, Alistair +3 more
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +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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Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
The adaptation of an English spellchecker for Japanese writers
, 2007 It has been pointed out that the spelling errors made by second-language writers writing in English have features that are to some extent characteristic of their first language, and the suggestion has been made that a spellchecker could be adapted to ...
Mitton, Roger, Okada, T.
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Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Revista de Lenguas para Fines Específicos, 2016 Book Review: Marcus Callies and Sandra Götz (eds.). (2015). Learner corpora in language testing and assessment (Studies in Corpus Linguistics 70) Amsterdam/ Philadelphia: John Benjamins, pp ...
Jesús García Laborda
doaj
Learning collocations via a data-driven approach: ESP students’ perspectives
Discover EducationThe use of corpora in the teaching of languages has increased in the past decade. Data-driven learning (DDL) has proven to be useful for increasing learner autonomy and for raising awareness about language usage.
Afnan Farooqui
doaj +1 more source
Computer-assisted error analysis: A study of prepositional errors in the Brazilian subcomponent of the international corpus of learner english (Br-ICLE) [PDF]
, 2002 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão.Programas para, a análise de texto para microcomputadores já estão disponíveis há algum tempo.
Recski, Leonardo Juliano
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