An approach for identifying authors using synonym sets is presented. Drawing on modern psycholinguistic research, we justify the basis of our theory. Having formally defined the operations needed to algorithmically determine authorship, we present the results of applying our method to a corpus of classic literature. We argue that this technique of author recognition is both accurate as an autho...

The UMLS contains more than 100 source vocabularies and is growing via the integration of others. When integrating a new source, the source terms already in the UMLS must first be found. The easiest approach to this is simple string matching. However, string matching usually does not find all concepts that should be found. A new methodology, based on the notion of piecewise synonyms, for enhanc...

The article is devoted to the study of lexical means through which concepts are verbalized. author gives a definition such terms as “concept” and “conceptual sphere” with an emphasis on their complex structure providing those that most relevant in research. It was determined semantic well nominative fields constant process expansion, facilitated by Internet discourse. last mentioned characteriz...

One of the fundamental building blocks of a wordnet is synonym sets or synsets, which group together similar word meanings or synonyms. These synsets can consist either one or more synonyms. This paper describes an automatic method for composing synsets with multiple synonyms by using Google Translate and Semantic Mirrors’ method. Also, we will give an overview of the results and discuss the ad...

This paper presents a simple method for finding new synonym candidates for a bilingual wordnet by using another bilingual resource. Our goal is to add new synonyms to the existing synsets of the Finnish WordNet, which has direct word sense translation correspondences to the Princeton WordNet. For this task, we use Wikipedia and its links between the articles of the same topic in Finnish and Eng...

BACKGROUND Terminologies that account for variation in language use by linking synonyms and abbreviations to their corresponding concept are important enablers of high-quality information extraction from medical texts. Due to the use of specialized sub-languages in the medical domain, manual construction of semantic resources that accurately reflect language use is both costly and challenging, ...