Results 101 to 110 of about 289,006 (287)
Learning collocations via a data-driven approach: ESP students’ perspectives
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
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
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
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
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 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
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]
This paper deals with the syntactic annotation of corpora that contain both ‘canonical’ and ‘non-canonical ...
Doolittle, Seanna +2 more
core
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
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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