Semantic ambiguity is typically measured by summing the number of senses or dictionary
definitions that a word has. Such measures are somewhat subjective and may not …

Semantic ambiguity has often been divided into 2 forms: homonymy, referring to words with
2 unrelated interpretations (eg, bark), and polysemy, referring to words associated with a …

Semantic ambiguity often occurs within a language (eg, the word “organ” in English means
both a body part and a musical instrument), but it can also cross a language boundary, such …

The majority of words in the English language do not correspond to a single meaning, but
rather correspond to two or more unrelated meanings (ie, are homonyms) or multiple related …

Word frequency is a powerful predictor of language processing efficiency in healthy
individuals and in computational models. Puzzlingly, frequency effects are often absent in …

Previous studies have reported that semantic richness facilitates visual word recognition
(see, eg, Buchanan, Westbury, & Burgess, 2001; Pexman, Holyk, & Monfils, 2003). We …

In a series of analyses over mega datasets, Jones, Johns, and Recchia (Canadian Journal
of Experimental Psychology, 66 (2), 115–124, 2012) and Johns et al.(Journal of the …

Attempts to quantify lexical variation have produced a large number of theoretical and
empirical constructs, such as Word Frequency, Concreteness, and Ambiguity, which have …

This paper presents an empirical comparison of similarity measures for pairs of concepts
based on Information Content. It shows that using modest amounts of untagged text to derive …

Semantic similarity is an essential component of many Natural Language Processing
applications. However, prior methods for computing semantic similarity often operate at …