We present DSim, a new sentence aligned Danish monolingual parallel corpus extracted from 3701 pairs of news telegrams and corresponding professionally simplified short news articles. The corpus is intended for building automatic text simplification for adult readers. We compare DSim to different examples of monolingual parallel corpora, and we argue that this corpus is a promising basis for fu...

This paper presents some facts about the syntax of subject pronouns in contact. We investigate agreement and EPP-checking Brazilian Venetan, a heritage northern Italo-Romance variety spoken southern Brazil contact with Portuguese. Central that constitutes basis is null-subject language presenting agreement-like clitics; Portuguese partial pro-drop language, which null subjects are allowed only ...

Models of large forest scenes are of a geometric complexity that surpasses even the capabilities of current high end graphics hardware. We propose an extreme simplification method which allows us to render such scenes in realtime. Our work is an extension of the image based-simplification method of Billboard Clouds. We automatically generate tree model representations of 15-50 textured polygons...

We present a new Lexical Simplification approach that exploits Neural Networks to learn substitutions from the Newsela corpus a large set of professionally produced simplifications. We extract candidate substitutions by combining the Newsela corpus with a retrofitted context-aware word embeddings model and rank them using a new neural regression model that learns rankings from annotated data. T...