GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2797876
Abstract: Knowledge graph embedding aims to construct a low-dimensional and continuous space, which is able to describe the semantics of high-dimensional and sparse knowledge graphs. Among existing solutions, translation models have drawn much attention lately, which… read more here.
Keywords: translation models; graph embedding; knowledge; knowledge graph ... See more keywords
Challenges in translation: models to promote translation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.23.2.021101
Abstract: Abstract. We first discuss the main obstacles for clinical translation of biophotonics technologies, in particular, the different valleys of death, after which we present different examples of ways to bridge these gaps, remove the obstacles,… read more here.
Keywords: challenges translation; translation models; models promote; promote translation ... See more keywords
A Comparative Study of Text Genres in English-Chinese Translation Effects Based on Deep Learning LSTM
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/7068406
Abstract: In recent years, neural network-based English-Chinese translation models have gradually supplanted traditional translation methods. The neural translation model primarily models the entire translation process using the “encoder-attention-decoder” structure. Simultaneously, grammar knowledge is essential for translation,… read more here.
Keywords: chinese translation; translation model; translation models; model ... See more keywords