11   Artículos

 
en línea
Kirill Tyshchuk, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev and Alexander Panchenko    
Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Rafal Jaworski, Sanja Seljan and Ivan Dunder    
Parallel corpora have been widely used in the fields of natural language processing and translation as they provide crucial multilingual information. They are used to train machine translation systems, compile dictionaries, or generate inter-language wor... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yonghua Wen, Junjun Guo, Zhiqiang Yu and Zhengtao Yu    
Parallel sentences play a crucial role in various NLP tasks, particularly for cross-lingual tasks such as machine translation. However, due to the time-consuming and laborious nature of manual construction, many low-resource languages still suffer from a... ver más
Revista: Information    Formato: Electrónico

 
en línea
Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Ibrahim Gashaw and Chris Biemann    
The availability of different pre-trained semantic models has enabled the quick development of machine learning components for downstream applications. However, even if texts are abundant for low-resource languages, there are very few semantic models pub... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Simone Leonardi, Diego Monti, Giuseppe Rizzo and Maurizio Morisio    
Intelligent agents have the potential to understand personality traits of human beings because of their every day interaction with us. The assessment of our psychological traits is a useful tool when we require them to simulate empathy. Since the creatio... ver más
Revista: Information    Formato: Electrónico

 
en línea
Arne Defauw, Sara Szoc, Anna Bardadym, Joris Brabers, Frederic Everaert, Roko Mijic, Kim Scholte, Tom Vanallemeersch, Koen Van Winckel and Joachim Van den Bogaert    
To build state-of-the-art Neural Machine Translation (NMT) systems, high-quality parallel sentences are needed. Typically, large amounts of data are scraped from multilingual web sites and aligned into datasets for training. Many tools exist for automati... ver más
Revista: Informatics    Formato: Electrónico

« Anterior     Página: 1 de 1     Siguiente »