We address the problem of selecting nondomain-specific language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach is based on comparing the cross-entropy, according to domainspecific and non-domain-specifc language models, for each sentence of the text source used to produce the latter language model. We show that this produces bet...

This examines the history of computer language choice for both industry use and university programming courses. The study considers events in two developed countries and reveals themes that may be common in the language selection history of other developed nations. History shows a set of recurring problems for those involved in choosing languages. This study shows that those involved in the sel...

We investigate, for the first time, if applying model selection based on automatic language identification (LID) can improve multilingual recognition of emotion in speech. Six emotional speech corpora from three language families (Germanic, Romance, Sino-Tibetan) are evaluated. The emotions are represented by the quadrants in the arousal/valence plane, i. e., positive/negative arousal/valence. ...

Specificity is important for extracting collocations, keyphrases, multi-word and index terms [Newman et al. 2012]. It is also useful for tagging, ontology construction [Ryu and Choi 2006], and automatic summarization of documents [Louis and Nenkova 2011, Chali and Hassan 2012]. Term frequency and inverse-document frequency (TF-IDF) are typically used to do this, but fail to take advantage of th...

We present a mathematical formulation of a theory of language change. The theory is evolutionary in nature and has close analogies with theories of population genetics. The mathematical structure we construct similarly has correspondences with the Fisher-Wright model of population genetics, but there are significant differences. The continuous time formulation of the model is expressed in terms...

The primary thesis of this paper is that selection plays a role in language evolution. Underlying this position is the assumption that a language is a Lamarckian species, a construct extrapolated from idiolects spoken by individuals who acknowledge using the same verbal code to communicate with each other. There is no perfect replication in any case of language “acquisition”, which is actually ...

Representing temporal knowledge and information in temporal logics for ontologies and conceptual data models has faced issues due to inaccessibility of the underlying logic and limited intuitiveness of diagrammatic extensions to the modelling languages. We aim to address this by designing controlled natural language templates for generating sentences that verbalise in English the temporal const...