Spelling errors in digital documents are often caused by operational and cognitive mistakes, or by the lack of full knowledge about the language of the written documents. Computer-assisted solutions can help to detect and suggest replacements. In this paper, we present a new string distance metric for the Persian language to rank respelling suggestions of a misspelled Persian word by considerin...

This document describes the system Functional Pronunciation Dictionaries (FPD), a language-independent system for defining pronunciation lexicons. The starting point of this system is Functional Morphology (FM) [3, 2], where we asked us the question — given that we already have defined a lexical resource in FM, what would be an efficient approach to extending the lexicon with high-quality pronu...

To explain processing differences between regular (e.g., start/started) and irregular (e.g., think/thought) word formation linguistic models posit either a single mechanism handling both morphological clusters or separate mechanisms for regular and irregular words. The purpose of the present study is to investigate how these processing differences map onto brain processes by assessing electroph...

In various priming paradigms, segmental overlap (i.e. phonological or orthographical overlap) between the target and prime word has been demonstrated to facilitate picture naming. But features extending over several segments are rarely controlled for in stimulus selection. Some attention has been paid to such suprasegmental features, but inconsistent findings have been obtained. The presented s...

Multivariate pattern analysis is a technique that allows the decoding of conceptual information such as the semantic category of a perceived object from neuroimaging data. Impressive single-trial classification results have been reported in studies that used fMRI. Here, we investigate the possibility to identify conceptual representations from event-related EEG based on the presentation of an o...