Writing style is an important indicator of a writer’s persona. In the age of intelligent chatbots, writing style conversion can enable intimate human-AI interaction, allowing us to bridge the inherent gap between AI agents and human beings. In this paper, we apply sequence to sequence neural machine translation model with global attention mechanism to two writing style conversion tasks, mostly ...

over the past one hundred and fifty years, due to a huge number of translations from different languages into persian, certain norms of language use have changed and certain others are in the process of changing. as one of the most frequent syntactic properties of most languages, especially english, the nominal style is a most likely candidate for transfer through translation into persian, a la...

Animated child characters are increasingly important for educational and entertainment content geared towards younger users. While motion capture technology creates realistic and believable motion for adult characters, the same type of data is hard to collect for young children. We aim to algorithmically transform adult motion capture data to look child-like. We implemented a warping based styl...

This paper focuses on the relationship between source text characteristics (ambiguity, complexity and style compliance) and machine-translation post-editing effort (both temporal and technical). Post-editing data is collected in a traditional translation environment and subsequently plotted against textual scores produced by a range of systems. Our findings show some strong correlation between ...

1 . The present paper presents an original interdisciplinary study of style-shifting in literary translation, which draws upon methodologies and techniques from corpus stylistics and computational stylometry, and relevant sociolinguistic theories of style variation. Such an innovative approach to the literary translator’s idiosyncratic use of language sets out to address one of the most difficu...