Near-synonyms are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and paraphrasing for text generation. However, near-synonyms are not necessarily interchangeable in contexts due to their specific usage and syntactic constraints. Accordingly, it is worth to develop algorithms to verify whether near-synonyms do match the gi...

We propose a method of synonymous paraphrasing of a text based on WordNet synonymy data and Internet statistics of stable word combinations (collocations). Given a text, we look for words or expressions in it for which WordNet provides synonyms, and substitute them with such synonyms only if the latter form valid collocations with the surrounding words according to the statistics gathered from ...

Data for the initial gene synonym dictionary was collected from publicly available databases, e.g. LocusLink (Pruitt et al., 2000), FlyBase, or UniProt (Apweiler et al., 2004). In addition to primary gene symbols and names, when known, this initial dictionary also contained alternative synonyms and orthographic variants. Although genome databases, were the principal sources of primary symbols a...

The Arabic language is one of the oldest languages in the world that presents its own features and challenges while searching for Arabic-based content. The most search systems for the Holy Quran is organized around words (contained in the target verses) rather than the concepts which those words denote. As a word denote many concepts (polysemy) and a concept can be denoted by many words (synony...

Nearor quasi-synonyms can have an important role in the task of Information Retrieval since they may help to address the problem of vocabulary mismatch between queries and documents. One current approach to generating quasi-synonyms uses a general similarity measure to score the synonymy of two words based on their context vectors. In contrast, we compare two simple measures that take into acco...