While the concept of similarity is well grounded in psychology, text similarity is less well-defined. Thus, we analyze text similarity with respect to its definition and the datasets used for evaluation. We formalize text similarity based on the geometric model of conceptual spaces along three dimensions inherent to texts: structure, style, and content. We empirically ground these dimensions in...

Text similarity calculation is the basic work in the application of Chinese information processing. A highquality text similarity calculation method must be accurate and efficient, that is, it can be able to compare texts from the level of text natural language meaning, and arrive at the similarity distinction similar to artificial reading based on a full understanding of the author or text sou...

This paper describes the use of a bilingual vector model for the automatic discovery of German translations of English terms. The model is built by analysing co-occurence patterns in a parallel corpus of English and German medical abstracts, a method also used for CrossLingual Information Retrieval. The model generates candidate German translations of English words using the cosine similarity m...

BACKGROUND Computational methods have been used to find duplicate biomedical publications in MEDLINE. Full text articles are becoming increasingly available, yet the similarities among them have not been systematically studied. Here, we quantitatively investigated the full text similarity of biomedical publications in PubMed Central. METHODOLOGY/PRINCIPAL FINDINGS 72,011 full text articles fr...

We present DSim, a new sentence aligned Danish monolingual parallel corpus extracted from 3701 pairs of news telegrams and corresponding professionally simplified short news articles. The corpus is intended for building automatic text simplification for adult readers. We compare DSim to different examples of monolingual parallel corpora, and we argue that this corpus is a promising basis for fu...