Results 301 to 310 of about 3,151,048 (350)
Abstract Global Englishes language teaching (GELT) promotes, among other things, positive attitudes and maximized understanding to communicate with speakers with a variety of accents. However, research on GELT‐informed listening training is rare, and none has addressed both attitudes and understanding of diverse accents.
Hyeseung Jeong+3 more
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ABSTRACT Objectives A novel partially self‐expandable metal stent (PCSEMS) with an anti‐migration system has recently become available during Endoscopic ultrasound‐guided hepaticogastrostomy (EUS‐HGS) but requires tract dilation. No previous study has compared the performance of dilation devices during EUS‐HGS.
Takeshi Ogura+15 more
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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+4 more
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Unified Neural Lexical Analysis Via Two‐Stage Span Tagging
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+5 more
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Tibetan Medical Named Entity Recognition Based on Syllable‐Word‐Sentence Embedding Transformer
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+9 more
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Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings
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+11 more
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Abstract In recent years, there has been a growing enrolment of students with specific learning disabilities (SLDs) in Italian higher‐education programmes, underscoring the need for universities to support these students by identifying their strengths and weaknesses and developing targeted interventions.
Giorgia Morosini+9 more
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ABSTRACT Based on theories of deliberative democracy, this article explores the substantive content of reasons as a conceptual tool. Although most studies focus on procedural dimensions, we argue that identifying and mapping substantive reasons contributes to advancing empirical investigation in a theoretically informed and normatively relevant way ...
Rousiley C. M. Maia+3 more
wiley +1 more source
Professor Lars Aabakken: A Visionary in GI Endoscopy and Medical Education
United European Gastroenterology Journal, EarlyView.
Mário Dinis‐Ribeiro
wiley +1 more source
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Lexical Morphology and Lexical Access
Brain and Language, 1999Research on morphology in word recognition has been plagued by conflicting results (McQueen & Cutler, 1998, give a recent review). Some findings suggest that words are accessed as full forms, while others suggest that words are accessed in terms of their component morphemes.
Jennifer Vannest, Julie E. Boland
openaire +3 more sources