Italian developmental dyslexic readers show a striking length effect and have been hypothesised to rely mostly on nonlexical reading. Our experiments tested this hypothesis by assessing whether or not the defi cit underlying dyslexia is specifi c to lexical reading. The effects of lexicality, word frequency and length were investigated in the same group of children in four separate experiments....

The present study aimed to examine the role of logical reasoning in the relation between lexical quality and reading comprehension in 146 fourth grade Dutch children. We assessed their standardized reading comprehension measure, along with their decoding efficiency and vocabulary as measures of lexical quality, syllogistic reasoning as measure of (verbal) logical reasoning, and nonverbal reason...

Objective: Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of novel anomalies in SNOMED CT. The structural component is based on shared isa relations to other concepts. The lexical component leverages shared words in description...

In this paper, we present our work on the creation of lexical resources for the Machine Translation between English and Hindi. We describes the development of phrase pair mappings for our experiments and the comparative performance evaluation between different trained models on top of the baseline Statistical Machine Translation system. We focused on augmenting the parallel corpus with more voc...

Objectives. To identify missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Methods. We first create logical definitions from the lexical features of concept names, which we represent in OWL EL. We infer hierarchical (subClassOf) relations among these concepts using the ELK reasoner. Finally, we compare the hierarchy obtained from...

We introduce a concept learning methodology for text understanding systems that is based on terminological knowledge representation and reasoning. Qualitybased metareasoning techniques allow for an incremental evaluation and selection of concept hypotheses. This methodology is particularly aimed at realworld text understanding environments where lexical/conceptual resources cannot be completely...