Results 221 to 230 of about 358,333 (353)

Large Language Models With Contrastive Decoding Algorithm for Hallucination Mitigation in Low‐Resource Languages

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural machine translation (NMT) has advanced with deep learning and large‐scale multilingual models, yet translating low‐resource languages often lacks sufficient training data and leads to hallucinations. This often results in translated content that diverges significantly from the source text.
Zan Hongying, Arifa Javed, Muhammad Abdullah, Javed Rashid, Muhammad Faheem   +4 more
wiley   +1 more source

Effects of Threat-Related Emotional Information in a Lexical Decision Task: Examination of Cognitive and Motor Performance.

, 1994
Sheryl Jackson
openalex   +2 more sources

Unified Neural Lexical Analysis Via Two‐Stage Span Tagging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Lexical analysis is a fundamental task in natural language processing, which involves several subtasks, such as word segmentation (WS), part‐of‐speech (POS) tagging, and named entity recognition (NER). Recent works have shown that taking advantage of relatedness between these subtasks can be beneficial.
Yantuan Xian, Yefen Zhu, Zhentao Yu, Yuxin Huang, Junjun Guo, Yan Xiang   +5 more
wiley   +1 more source

Transforming language research from classic desktops to virtual environments. [PDF]

Sci Rep
Rocabado F, Muntini L, Jubran OF, Lachmann T, Duñabeitia JA.   +4 more
europepmc   +1 more source

The effects of progressive sleep loss on a lexical decision task: Response lapses and response accuracy

, 1985
H. Babkoff, S. Genser, H. Sing, D. Thorne, F. Hegge   +4 more
semanticscholar   +1 more source

Tibetan Medical Named Entity Recognition Based on Syllable‐Word‐Sentence Embedding Transformer

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Tibetan medical named entity recognition (Tibetan MNER) involves extracting specific types of medical entities from unstructured Tibetan medical texts. Tibetan MNER provide important data support for the work related to Tibetan medicine. However, existing Tibetan MNER methods often struggle to comprehensively capture multi‐level semantic ...
Jin Zhang, Ziyue Zhang, Lobsang Yeshi, Dorje Tashi, Xiangshi Wang, Yuqing Cai, Yongbin Yu, Xiangxiang Wang, Nyima Tashi, Gadeng Luosang   +9 more
wiley   +1 more source

New Insights Into Visual Word Recognition: Analyzing Error Distribution in Typical Readers. [PDF]

J Cogn
Grisetto F, Roger C, Mahé G.
europepmc   +1 more source

Phonological factors in lexical access: Evidence from an auditory lexical decision task

, 1988
W. Milberg, S. Blumstein, B. Dworetzky
semanticscholar   +1 more source

Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguistic resources, which directly leads to the difficulty ...
Ziyue Zhang, Yongbin Yu, Xiangxiang Wang, Xiao Feng, Yuze Li, Jiarun Shen, Dorje Tashi, Jin Zhang, Lobsang Yeshi, Lei Li, Nyima Tashi, Jingye Cai   +11 more
wiley   +1 more source

Sensitivity of the inferior frontal gyrus to morphological processing through the detection of category violation. [PDF]

Sci Rep
Kim J, Nam K.
europepmc   +1 more source