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Introduction and purpose: Language is the medium by which people interact with all aspects of their worlds, whether economics, health, the environment, or technology. In both development programs and technology, however, language is usually given secondary ...
Scala-Virtualized extends the Scala language to better support hosting embedded DSLs. Scala is an expressive language that provides a flexible syntax, type-level computation using implicits, and other features that facilitate the development of em- bedded ...
The consequence of linguistic digital exclusion is the inability of billions of people to access vital knowledge and economic resources that contribute to prosperity in an era of globalization. However, rectifying linguistic inequity is mostly absent from ...
In this report we present the specification of the operational semantics of Dart Kernel and a reference implementation of Dart Kernel in Dart. We design a CESK-like machine to specify the operational semantics of Dart Kernel and we implement an interpreter ...
Virtual organisations are non-conventional structures aiming at sharing the same goals, developing common practices or creating wealth in a collaborative manner. Accordingly, competence issues are important topics to be addressed in order to ensure coheren ...
The process of determining the language of a speech utterance is called Language Identification (LID). This task can be very challenging as it has to take into account various language-specific aspects, such as phonetic, phonotactic, vocabulary and grammar ...
One of the key challenges involved in building statistical automatic speech recognition (ASR) systems is modeling the relationship between subword units or “lexical units” and acoustic feature observations. To model this relationship two types of resources ...
BACKGROUND: Deletions and duplications of the 16p11.2 BP4-BP5 locus are prevalent copy number variations (CNVs), highly associated with autism spectrum disorder and schizophrenia. Beyond language and global cognition, neuropsychological assessments of thes ...
Implementing machine learning algorithms for large data, such as the Web graph and social networks, is challenging. Even though much research has focused on making sequential algorithms more scalable, their running times continue to be prohibitively long. ...
This paper investigates the automatic detection of English spoken terms in a multi-language scenario over real lecture recordings. Spoken Term Detection (STD) is based on an LVCSR where the output is represented in the form of word lattices. The lattices a ...