We have 3 of 90 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
The experimental results showed that, compared with the conventional data-driven model, PI-ATBiLSTM reduced the average root mean square error, mean absolute error and mean absolute percentage error by 60.92%, 60.83% and 62.50%, respectively.
The subject of the research is conceptual lacunae that arise when transferring Russian culturally marked units into Chinese, as well as the compensation strategies employed by translators in different historical periods. The object of the study comprises fragments of M. A. Bulgakov’s novel The Master and Margarita and...
UniRec is proposed, a unified space learning framework that achieves deep alignment through a hierarchical space transformation path: language space → collaborative space → real space and is optimized for large-scale applications.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
