This paper presents a methodology to address lexical disambiguation in a standard phrase-based statistical
machine translation system. Similarity among source contexts is used to select appropriate translation
units. The ...
[EN] We present and evaluate a novel technique for learning cross-lingual continuous space models to aid cross-language information retrieval (CLIR). Our model, which is referred to as external-data composition neural ...
Cross-language (CL) plagiarism detection aims at detecting plagiarised fragments of text among documents
in different languages. The main research question of this work is on whether knowledge graph
representations and ...
[EN] We present a comprehensive study on the use of autoencoders for modelling text data, in which (differently
from previous studies) we focus our attention on the various issues. We explore the suitability of
two ...