To what extent does semantic information play a functional role in visual word recognition? Theories of word recognition vary in the importance assigned to semantic information in visual lexical decision, with past research suggesting that the nature of the foils is a crucial determinant of semantic reliance. Here, we explored the conditions under which semantic variables influence lexical deci...

Prior work on bias detection has predominantly relied on pre-compiled word lists. However, the effectiveness of pre-compiled word lists is challenged when the detection of bias not only depends on the word itself but also depends on the context in which the word resides. In this work, we train neural language models to generate vector space representation to capture the semantic and contextual ...

This work describes the evaluations of three different approaches, Lexical Match, Sense Similarity based on Personalized Page Rank, and Semantic Match based on Shallow Frame Structures, for word sense alignment of verbs between two Italian lexical-semantic resources, MultiWordNet and the Senso Comune Lexicon. The results obtained are quite satisfying with a final F1 score of 0.47 when merging t...

Stochastic discrimination (SD) has been shown to be a useful pattern recognition tool in the literature. A large number of experiments conducted indicate that SD has a low error rate. This paper presents a statistical look at SD. We show that for two-class problems SD simply transforms the multidimensional feature vectors to points coming from two univariate normal distributions. These two univ...

It is widely accepted that letter-by-letter reading and a pronounced increase in reading time as a function of word length are the hallmark features of pure alexia. Why patients show these two phenomena with respect to underlying cognitive mechanisms is, however, much less clear. Two main hypotheses have been proposed, i.e. impaired discrimination of letters and deficient processing of word for...

A forward-gating procedure employing highly familiar monosyllabic words was used in auditory testing of age- and gender-matched children with learning disabilities and normally achieving children aged 8 to 11 years. The portion of the word presented, or "gate," was longer on each successive trial. Nondisabled children identified an average of one more word than the children with learning disabi...

of Patent 4783803) A system is disclosed for recognizing a pattern in a collection of data given a context of one or more other patterns previously identified. Preferably the system is a speech recognition system, the patterns are words and the collection of data is a sequence of acoustic frames. During the processing of each of a plurality of frames, for each word in an active vocabulary, the ...

A large number of news articles are published on the Web every day, and demand of discovering news articles on new/important topics has been growing. In this paper, we present a method for detecting characteristic words co-occurring with a target word (characteristic co-occurrence words) to help users find important topics related to the target word. The method divides news articles published i...

In this paper, we report a breakthrough result on the difficult task of segmentation and recognition of coloured text from the word image dataset of ICDAR robust reading competition challenge 2: reading text in scene images. We split the word image into individual colour, gray and lightness planes and enhance the contrast of each of these planes independently by a power-law transform. The discr...

In this paper, we propose an approach for Stress Assignment in Spanish Proper Names, based on a Multi-Layer Perceptron (MLP). When assigning stress to a word, we first analyse each vowel in the word and then calculate a Stress-Confidence Measure for it, using a MLP. The system will assign the stress to the vowel with the highest stress-confidence measure. In this paper we present and analyse di...