Results 21 to 30 of about 2,513 (100)

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

Information Systems Journal, EarlyView.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

Structural competition in second language production : towards a constraint-satisfaction model [PDF]

, 2015
Second language (L2) learners often show inconsistent production of some aspects of L2 grammar. One view, primarily based on data from L2 article production, suggests that grammatical patterns licensed by learners’ native language (L1) and those licensed
Austin, Avery, Baayen, Baayen, Bates, Bedny, Bialystok, Bliss, Bock, Bock, Bresnan, Butler, Charters, Chrabaszcz, Dao, DeKeyser, Díez-Bedmar, Ellis, Elman, Erlam, García Mayo, Gass, Goad, Goad, Goldschneider, Gollan, Hakuta, Han, Hartsuiker, Hartsuiker, Haskell, Hsieh, Ionin, Iwasaki, Jaeger, Jarvis, Jia, Jiang, Johnson, Kan, Krashen, Kroll, Kuribara, Lardiere, Lardiere, Lew-Williams, Lu, Luk, MacDonald, Mackey, MacWhinney, Marian, Mellow, Narasimhan, Pongpairoj, Potter, Ramscar, Ringbom, Robertson, Runnqvist, Saffran, Sanoudaki, Sarko, Seidenberg, Sharma, Shin, Snape, Thompson-Schill, Trenkic, Trenkic, Trenkic, Trenkic, Trenkic, Trenkic, Trueswell, Tryzna, Vinther, Weber, White, Yeni-Komshian, Young, Young, Young, Žegarac   +83 more
core   +2 more sources

The [ADJ + as] intensifier construction in Māori English/Aotearoa English

World Englishes, EarlyView.
Abstract We introduce the Waikato Māori English Conversation (MEC) corpus, which consists of 43 dyadic conversations between 49 young adults who self‐recorded informal conversations with close friends, in their own homes, with no topic of conversation specified (83 hours of dialogue; nearly 800,000 words).
Andreea S. Calude, Hēmi Whaanga
wiley   +1 more source

A Comparison of Aural and Written Vocabulary Size of Japanese EFL University Learner [PDF]

, 2008
This study attempts to compare aural and written vocabulary knowledge (size) of Japanese university EFL (English as a Foreign Language) learners and investigate their relationship to listening and reading abilities, and overall English proficiency.
Mizumoto Atsushi, Shimamoto Taiko, 水本 篤   +2 more
core   +2 more sources

Fairness at Risk: Where Bias Emerges in Machine Learning

Expert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque, Marcelo Fantinato, Sarajane Marques Peres   +2 more
wiley   +1 more source

Factive and nonfactive mental state attribution [PDF]

, 2017
Factive mental states, such as knowing or being aware, can only link an agent to the truth; by contrast, nonfactive states, such as believing or thinking, can link an agent to either truths or falsehoods.
Anand, Apperly, Baillargeon, Baillargeon, Baillargeon, Bartsch, Beaver, Buckwalter, Buttelmann, Buttelmann, Butterfill, Carruthers, Carruthers, Dudley, Egre, Fantl, Fintel, Flombaum, Grice, Hare, Harris, Helming, Heyes, Hintikka, Holton, Horn, Kaminski, King, Kiparsky, Kovács, Krachun, Krupenye, Lahiri, Leslie, Low, Low, Marticorena, Martin, Martin, Moore, Nagel, O'Neill, Onishi, Papafragou, Pascual, Perner, Perner, Perner, Plato c. 369 BCE, Plato c. 380 BCE, Rakoczy, Rakoczy, Ruffman, Schneider, Scott, Sharoff, Shatz, Song, Spenader, Tardif, Träuble, Wellman, Wierzbicka, Williamson, Xiao   +64 more
core   +1 more source

Italian Basic Terms Blu and Azzurro: Semantic Power Assessed in the Stroop Task

Color Research &Application, Volume 51, Issue 3, May/June 2026.
A Stroop task revealed an asymmetry of the semantic power of the two basic “Italian blues,” blu “dark blue” and azzurro “light blue.” BLU word, rendered in dark and light blue inks, showed no significant Stroop effects. In contrast, AZZURRO word exhibited strong Stroop interference and facilitation. Higher semantic power of azzurro is argued to reflect
Galina V. Paramei, Giulia Paggetti, Dan P. A. Clark, Gloria Menegaz   +3 more
wiley   +1 more source

Borrowing words in technology term of "Jawa Pos Online" website [PDF]

, 2018
This thesis examines about English borrowing word, especially technology term in Jawa Pos Online website. This thesis focuses to find the kind and change in meaning process of borrowing word in Jawa Pos Online website. Many researchers have been analyzed
Hermawan, Akbar Riqy Kurnia
core  

LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach

Journal of Forensic Sciences, Volume 71, Issue 3, Page 1211-1223, May 2026.
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley   +1 more source

The Real Trouble Spots in the Perception of English [PDF]

, 2007
Second or foreign language (L2) auditory perception tends to be problematic because first language (L1) transfer leads to numerous auditory mistakes. These mistakes have complicated origins but learners seem to ascribe them above all to speech rate.
Midori IBA, 伊庭 緑
core   +1 more source