Results 101 to 110 of about 289,006 (287)

Learning collocations via a data-driven approach: ESP students’ perspectives

open access: yesDiscover Education
The 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

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Learner Corpora in Foreign Language Education

open access: yes, 2008
Analyzing learner language is a key component of second and foreign language education research and serves two main purposes: it helps researchers gain a better understanding of the mechanisms of second language acquisition (SLA) and it is a useful source of data for practitioners who are keen to design teaching and learning tools that target learners’
openaire   +3 more sources

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Subordinate Clauses as Critical Features in English and French Learner Examination Corpora

open access: yesBaltic Journal of English Language, Literature and Culture, 2012
The aim of the study is to examine the syntactic pattern of the frequency of use of simple, complex and compound sentences focusing on different subordinate clauses as critical features in the written learner text corpora at different English and French
Vita Kalnbērziņa, Vineta Rūtenberga
doaj  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang   +9 more
wiley   +1 more source

Practical Applications of Learner Corpora

open access: yes, 2004
Computer learner corpora (CLC) allegedly serve two main purposes: (1) by providing a better description of interlanguage and a better understanding of the factors that influence it, they contribute to Second Language Acquisition theory; and (2) they ...
Granger, Sylviane
core  

Syntactic annotation of non-canonical linguistic structures [PDF]

open access: yes, 2009
This paper deals with the syntactic annotation of corpora that contain both ‘canonical’ and ‘non-canonical ...
Doolittle, Seanna   +2 more
core  

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

open access: yesAdvanced 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

SVALA: an Annotation Tool for Learner Corpora generating parallel texts

open access: yes, 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
core  

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