Results 61 to 70 of about 397,271 (315)

Corpora of spoken Lithuanian

Eesti Rakenduslingvistika Ühingu Aastaraamat, 2009
The paper discusses the development of spoken Lithuanian corpora. In the analytical part longitudinal child language data as well as adult conversations are discussed in view of the issues that occurred during the period of data collection, transcription
Laura Kamandulyte, Ineta Dabašinskienė
doaj   +1 more source

Potent and Long‐Lasting Immunogenicity Generated by LNP‐mRNA gE Antigen Against Varicella Zoster Virus via an AI‐Assisted Pipeline

Advanced Science, EarlyView.
This study designs a novel mRNA‐LNP vaccine targeting VZV glycoprotein E (gE) for herpes zoster via an AI‐assisted pipeline. Validated in mice and rhesus macaques, the mRNA‐LNP vaccine shows strong humoral and cellular immune responses, with CD4+ T‐cell responses more effective and durable than Shingrix, offering a promising prophylactic option ...
Kai Dong, Fang Liu, Dawei Wang, Yanfen Li, Man Zhang, Yuting Zhou, Gengshen Song   +6 more
wiley   +1 more source

Multilingual lexicon of undersea features [PDF]

, 2005
The department prepares a multilingual lexicon of undersea feature types with the purpose to make information on configuration of the seafloor and undersea feature types available for the general public interested in geographical sciences.
Dutkó, András Ákos, Márton, Mátyás
core  

Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework

, 2017
Speech recognition systems for irregularly-spelled languages like English normally require hand-written pronunciations. In this paper, we describe a system for automatically obtaining pronunciations of words for which pronunciations are not available ...
Khudanpur, Sanjeev, Manohar, Vimal, Povey, Daniel, Zhang, Xiaohui   +3 more
core   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Quality of life post heart failure diagnosis: population-level trends in the U.S.

Health and Quality of Life Outcomes
Background Individuals with heart failure (HF) experience various symptoms making both diagnosis and disease burden estimates challenging. While HF-specific patient-reported outcome measures (PROMs) are widely used, their focus on clinical cohorts limits
Maria Alva, Sarahfaye Dolman, Slaven Sikirica, Paul Kolm, Katherine Andrade, Zugui Zhang, William S. Weintraub   +6 more
doaj   +1 more source

Kuidas me mõistame ööpäeva [PDF]

Mäetagused, 2011
The article focuses on the notion ööpäev (‘twenty-four hours, day and night’) and the subdivisions of the term in the Estonian language. Attempt is made to ascertain how Estonians render meaning to ööpäev and what are the content-wide considerations for ...
Asta Õim
doaj  

Reflections on Noun-to-Verb Conversion In English

Zeitschrift für Sprachwissenschaft, 2006
English denominal verbs formed by conversion adopt complex morphosyntactic and semantic information in a rather mysterious way. For example, the lexical item bottle is unambiguously interpreted as a referential expression in a sentence like John bought a
Baeskow Heike
doaj   +1 more source

An automatically built named entity lexicon for Arabic [PDF]

, 2010
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed, Monachini, Monica, Toral, Antonio, Tounsi, Lamia, van Genabith, Josef   +4 more
core   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

Advanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park, Sumin Kim, Jiwon Kim, Dongjoo Lee, Sungwoo Bae, Haenara Shin, Daeseung Lee, Hongyoon Choi   +7 more
wiley   +1 more source