In recent years, model-driven approaches and processes have1 established themselves as pragmatic and feasible solutions with tangible2 advantages. Transformations play a central ro...
Anthony Anjorin, Marius Paul Lauder, Michael Schle...
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
A strong inductive bias is essential in unsupervised grammar induction. In this paper, we explore a particular sparsity bias in dependency grammars that encourages a small number ...
Abstract. Automated language identification of written text is a wellestablished research domain that has received considerable attention in the past. By now, efficient and effecti...
A significant challenge in Text-to-Speech (TtS) synthesis is the formulation of the prosodic structures (phrase breaks, pitch accents, phrase accents and boundary tones) of uttera...