This study investigates the use of written dialect among adolescents from four different locations in Norway, each representing one main areas country (north, central, west, and east). The data are drawn larger Multilectal Practices Social Media where a total 1532 students 42 upper secondary schools all regions Norway have completed an online questionnaire about their language competence, attit...

Many approaches for named entity recognition rely on dictionaries gathered from curated databases (such as Entrez Gene for gene names.) Strategies for matching entries in a dictionary against arbitrary text use either inexact string matching that allows for known deviations, dictionaries enriched according to some observed rules, or a combination of both. Such refined dictionaries cover potenti...

A multi-lingual speech corpus used for modeling language acquisition called CAREGIVER has been designed and recorded within the framework of the EU funded Acquisition of Communication and Recognition Skills (ACORNS) project. The paper describes the motivation behind the corpus and its design by relying on current knowledge regarding infant language acquisition. Instead of recording infants and ...

In modern linguistics where natural spoken language has been the main, if not the sole, target of research inquiry, one area in which orthography becomes as yet at issue is phonology. This should be the case because (a) writing systems encode phonological structure, syllables in particular, as shown in Gnanadesikan (2011), accordingly (b) the orthographical knowledge of a language may merge int...

INTRODUCTION The first sign of problems of dyslexia appears in phonographic decoding when the child tries to associate graphic signs with phonological sequences so as to pronounce words. During this process the child tries to recognise words visually and associate them with the names of objects. DEVELOPMENT Spatial agnosia is a very common symptom in children with dyslexia and may be detected...

The CELEX database is one of the standard lexical resources for German. It yields a wealth of data especially for phonological and morphological applications. The morphological part comprises deep-structure morphological analyses of German. However, as it was developed in the Nineties, both encoding and spelling are outdated. About one fifth of over 50,000 datasets contain umlauts and signs suc...