“SC*RY!”: ASTERISK IN PRINTED UNPRINTABLE ABUSIVE WORDS

Comparing Matching Strategies for Renaissance Printed Words

In this paper two different approaches for matching words from books from the Renaissance period are compared. The first methodology is a novel search-based approach, while the second one is based on FNSFinite Numerical Sequences. Both methodologies are illustrated with several examples. The comparison of the results obtained with both methodologies are presented, being also discussed the contr...

Phonetic recoding of phonologically ambiguous printed words.

Speech detection and matching simultaneously presented printed and spoken words were used to examine phonologic and phonetic processing of Hebrew heterophonic homographs. Subjects detected a correspondence between an ambiguous letter string and the amplitude envelopes of both dominant and subordinate phonological alternatives. Similar effects were obtained when the homographs were phonologicall...

Automatic phonological coding of unattended printed words.

A lexical decision response to an attended printed word can be slowed when the word is accompanied by an unattended word that is semantically related. Does this hold for an unattended word that is not related to the target word but sounds as if it is? The homophone WASTE can be shown to affect the lexical decision response to RUBBISH, but how does the incongruently related homophone WAIST affec...

SCRY: Enabling Quantitative Reasoning in SPARQL Queries

The inability to include quantitative reasoning in SPARQL queries slows down the application of Semantic Web technology in the life sciences. SCRY, our SPARQL compatible service layer, improves this by executing services at query time and making their outputs query-accessible, generating RDF data on demand. The power of this approach is demonstrated with two use cases, where we use SCRY to calc...

Morphological approach to character recognition in machine-printed Persian words