This paper draws together ideas published in Allan (1976; 1980; 1981; 2000; 2001) which relate to a potential variety of senses for a given lexeme when it is listed in the lexicon (as a listeme), each sense being appropriate to a particular set of contexts of use. The problem for the lexicographer (if this is the correct term for someone modelling the mental lexicon) is how to tag the various s...

In this paper we study several approaches to adapting a polarity lexicon to a specific domain. On the one hand, the domain adaptation using Term Frequency (TF) and on the other hand, the domain adaptation using pattern matching with a BootStrapping algorithm (BS). Both methods are corpus based and start with the same polarity lexicon, but the first one requires an annotated collection of docume...

Valency is a property of language units reflecting their combinatorial potential in language utterances. The availability of the information about valency is supposed to be crucial in various Natural Language Processing tasks. In general, valency of language units cannot be automatically predicted, and therefore it has to be stored in a lexicon. The primary goal of the presented work is to crea...

Experimental and cross-linguistic evidence suggests that certain speech sounds are associated with size, especially high front vowels ‘small’ low back ‘large’. However, empirical statistically magnitude across words within a language has been mixed open to methodological critique. Here, we used random-forest analysis of near-exhaustive set English size adjectives (e.g.,tiny, gargantuan) determi...

In general text-to-speech systems, it is not possible to guarantee that a lexicon will contain all words found in a text, therefore some system for predicting pronunciation from the word itself is necessary. Here we present a general framework for building letter to sound (LTS) rules from a word list in a language. The technique can be fully automatic, though a small amount of hand seeding can ...