We draw on recent advances in ASR, notably in neural networks and the multilingual acoustic modeling (i.e., by leveraging data from different domains) that they enable.
In summary, this article encompasses the current research in multilingual probabilistic topic modeling.
We define multilingual probabilistic topic modeling (MuPTM) and present the first full overview of the current research, methodology, advantages and limitations in MuPTM.
Switzerland has long been a model multiethnic, multilingual society, a place in which diverse peoples can live in social harmony and unite in common interest.
We propose a three- layer scheduling model for multilingual information resources in cloud computing.
Additionally, OWL enriches this object-oriented model with multilingual names and descriptions and expressive domain, range, and constraint definitions.
As a representative example, we choose a natural extension of the omnipresent LDA model to multilingual settings called bilingual LDA (BiLDA).
There are also examples of successful, multilingual democracies that provide a model for the public accountability of international power: India, Switzerland and Canada.
Stepwise multilevel modeling showed that for multilingual pupils, a negative effect of tolerant practices towards multilingualism on same-language friendships existed, while linguistic diversity was of lesser importance.
When the first steps toward European unity were made, in the nineteen-fifties and sixties, notably in the Brussels Treaty of 1965, Belgium, as a democratic, multilingual, multicultural state, served as a model for the pan-European ideal.
