Results 191 to 200 of about 461,639 (244)
BanglaVoice: A curated sentence-level annotated dataset for active, passive, and middle voice in Bangla with baseline classification benchmarks. [PDF]
Alam MJ +5 more
europepmc +1 more source
ABSTRACT Background In recent years there has been a significant increase in the number and quality of childhood apraxia of speech (CAS) treatment research published. Much of this research has focussed on establishing treatment efficacy and identifying treatment components.
Patricia McCabe +4 more
wiley +1 more source
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities. [PDF]
Zaher F +4 more
europepmc +1 more source
ABSTRACT Online democratic discourse faces threats from diverse forms of information manipulation, including disinformation campaigns and foreign influence operations. Among these, political bots represent a covert and scalable threat, infiltrating online debates, amplifying select viewpoints, and distorting perceptions of public opinion.
Linus Wahlberg
wiley +1 more source
Hybrid model for classifying Indo Aryan and Tamil texts from historic manuscripts. [PDF]
Dinesh PM +3 more
europepmc +1 more source
ABSTRACT In their “Provocation Article,” König and colleagues (2026) make an important contribution by advocating for the explicit inclusion of employee well‐being as an outcome in personnel selection. We appreciate this perspective and support the view that fostering a healthy and happy workforce is a central organizational goal that should be more ...
Anna Luca Heimann, Pia V. Ingold
wiley +1 more source
A simple threshold captures the social learning of conventions. [PDF]
Guilbeault D, Caplan S, Yang C.
europepmc +1 more source
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei +1 more
wiley +1 more source
Machine translationese of large language models: Dependency triplets, text classification, and SHAP analysis. [PDF]
Zhang S, Zhao C.
europepmc +1 more source
A Nadam‐optimized Bi‐LSTM framework integrates multi‐level student and institutional data to predict academic performance with 92.5% accuracy. The approach captures bidirectional temporal patterns and enables scalable, data‐driven early warning systems and targeted interventions in higher education. ABSTRACT Student performance prediction is a critical
Sudhindra B. Deshpande +5 more
wiley +1 more source

