Results 171 to 180 of about 13,324 (303)

Coaching past simple forms of habitual expressions beyond the textbook: A corpus-based experimental investigation. [PDF]

PLoS One
Dagnaw AM, Filatie AY, Adugna ET.
europepmc   +1 more source

Comprehensive Evaluation of AI Consent Forms in Otolaryngologic Surgery

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Surgical consent documents are frequently written at reading levels exceeding average health literacy. Large language models (LLMs) may offer a scalable approach to generating clearer, procedure‐specific consent forms. This study evaluated the clarity, clinical accuracy, and acceptability of consent forms generated by GPT‐4 and ...
Sholem Hack, Rebecca Attal, Armin Farzad, Lilia Ann Crew, Shmuel Silverstein, Jacob E. Karni, Nir Livneh, Shibli Alsleibi, Naseem Saleh, Ben Gvili, David Yogev, Eric Remer, Eran E. Alon, Gil Siegal, Masayoshi Takashima, Habib G. Zalzal   +15 more
wiley   +1 more source

Linguistic diversity in machine learning training data: Content analysis of English and Finnish soundscape descriptions in audio captioning. [PDF]

PLoS One
Hekanaho L, Tuuri E, Surakka M, Hirvonen M.   +3 more
europepmc   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang, Haiyan Wang, Hao Tan, Liyi Zeng, Jingnan Li, Zhaoquan Gu   +5 more
wiley   +1 more source

Constructing the national image of "China" in press conference interpreting: a corpus-based critical metaphor analysis. [PDF]

Front Psychol
Zhang C.
europepmc   +1 more source

Alternating ditransitives in English: a corpus-based study

, 2009
This thesis is a large-scale investigation of ditransitive constructions and their alternants in English. Typically both constructions involve three participants: participant A transfers an element B to participant C.
Ozon, G.A.
core  

Animal translations: AI and the intelligibility of non‐human worlds Traduire l'animal : l'IA et l'intelligibilité des mondes non humains

Journal of the Royal Anthropological Institute, EarlyView.
Amid the general sense of worry that large language models will soon drown out human voices, some researchers are optimistic that machine learning will allow humans to listen to and understand animal voices to an unprecedented extent. As part of a broader project aimed at interspecies communication, a loosely connected set of animal behaviourists, AI ...
Courtney Handman
wiley   +1 more source

The effectiveness of corpus-based high-frequency word acquisition strategies in improving English writing skills. [PDF]

Front Psychol
Li H, Zhu J.
europepmc   +1 more source

Error correction through corpus consultation in EAP writing: an analysis of corpus use in a pre-sessional context

This study investigates the effect of corpus consultation on the accuracy of learner written error revisions. It examines the conditions which cause a learner to consult the corpus in correcting errors and whether these revisions are more effective than ...
Bridle, Marcus
core