Specialised or LSP translation is often compared unfavourably with literary translation in terms of the creative input required from the translator to produce a „good‟ translation. The supposed formulaic nature of LSP texts is contrasted with the creative nature of literary texts. The authors of LSP texts are often anonymous, possibly working in a team, and not necessarily native speakers of th...

Many existing approaches for measuring text complexity tend to overestimate the complexity levels of informational texts while simultaneously underestimating the complexity levels of literary texts. We present a two-stage estimation technique that successfully addresses this problem. At Stage 1, each text is classified into one or another of three possible genres: informational, literary or mix...

Idiolects are person-dependent similarities in language use. They imply that texts by one author show more similarities in language use than texts between authors. Sociolects, on the other hand, are group-dependent similarities in language use. They imply that texts by a group of authors, for instance in terms of gender or time period, share more similarities within a group than between groups....

Annotated corpora are invaluable resources for researchers in the humanities: on the one hand, for natural processing tasks, they can serve as standards against which results from new automatic methods can be measured; on the other hand, in corpus-based studies, they enable either to answer existing research questions or to explore original ones. In this respect, some annotation frameworks such...

Introduction        Gāthic texts are a collection of religious songs of Zarothustra who lived about 1200 BC. Of the seventy two hāts (stanzas) of Yasna (one of the five chapters of Avesta), seventeen hāts belong to five Gāthas. These seventeen hāts have been classified into five categories based on their syllabic meter and the number of the song: 1) ahunavaiti, 2) ushtavaiti, 3)spanta.mainyu, ...

We present the first study that evaluates both speaker and listener identification for direct speech in literary texts. Our approach consists of two steps: identification of speakers and listeners near the quotes, and dialogue chain segmentation. Evaluation results show that this approach outperforms a rule-based approach that is stateof-the-art on a corpus of literary texts.