This paper describes an exploration of the implicit synonymy relationship expressed by synonym lists in an on-line thesaurus. A series of automatic steps was taken to properly constrain this relationship. The resulting groupings of semantically related word senses are believed to constitute a useful tool for natural language processing and for work in lexicography.

We investigate how both model-related factors and application-related factors affect the accuracy of distributional semantic models (DSMs) in the context of specialized lexicography, and how these factors interact. This holistic approach to the evaluation of DSMs provides valuable guidelines for the use of these models and insight into the kind of semantic information they capture.

From the point of lexicography, phenomenon dictionary look-up frequencies can answer many critical questions on users’ needs and relationship between corpus data tendencies. Although there have been a number studies theoretical functional aspects in field spoken language to date, remain relatively few attempts describe characteristics behaviour sign languages. This paper investigates frequency ...

Low-frequency words, esp. words occurring only once in a text corpus, are very popular in text analysis. Also many lexicographers draw attention to such words. This paper lists a detailed statistical analysis of low-frequency words. The results provides important information for many practical applications, including lexicography and language modeling.

Dictionaries are increasingly being transformed into linguistic linked lata (LLD) relying on the lemon and OntoLex models, but this conversion is not always straightforward. For both linked data (LD) based applications to exploit all content provided in dictionaries and lexicographers adopting LD technologies, the original data and structure should be retrievable from the LLD version to prevent...

Providing sets of semantically related words in the lexical entries of an electronic dictionary should help language learners quickly understand the meaning of the target words. Relational information might also improve memorisation, by allowing the generation of structured vocabulary study lists. However, an open issue is which semantic relations are cognitively most salient, and should theref...

Mainstream word sense disambiguation systems have relied mostly on supervised approaches. Complex interactions have been observed between learning algorithms and knowledge sources, but the factors underlying such phenomena are underexplored. This calls for more qualitative analysis of disambiguation results, possibly from an inter-disciplinary perspective. The current study thus preliminarily e...