<p>Discrimination of semantic textual similarity refers to comparing the between two or more entities (including words, short texts and documents) through certain strategies obtain a specific quantitative value. Traditional research put experience into calculation original text content, using matching degree distance characters words as yardstick judge whether pairs are similar. However, ...

Measuring the semantic similarity between words requires a method that can simulate human thought. The use of computers to quantify and compare similarities has become an important research area in various fields, including artificial intelligence, knowledge management, information re-trieval, natural language processing. Computational seman-tics require efficient measures for computing concept...

This paper will focus on automatic methods for quantifying language similarity. This is achieved by ascribing language similarity to the similarity of text corpora. This corpus similarity will first be determined by the resemblance of the vocabulary of languages. Thereto words or parts of them such as letter n-grams are examined. Extensions like transliteration of the text data will ensure the ...