The digital edition of Rabindranath Tagore, Bichitra: Online Tagore Variorum aims to encompass all of Rabindranath’s literary works in Bengali and English. This edition is an extremely interesting case study for the technical and logistical complexity of the task it sets out to achieve, which involved the development of customised technology and a visualisation strategy to engage the reader wit...

In our work we have developed text visualization tools to meet the needs of literary scholars. While our work in this domain may on the surface seem quite different from other text visualization applications, we have encountered principles that generalize and will be useful for text data as distant from literature as social media. The way that digital humanities scholars use and argue about tex...

This paper discusses the main issues encountered in the design of a domain ontology to represent ancient literary texts that survive only in fragments, i.e. through quotations embedded in other texts. The design approach presented in the paper combines a knowledge domain analysis conducted through semantic spaces with the integration of well established ontologies and the application of ontolog...

In this paper we describe Alien Letter Forms, a software environment for letters to live in and evolve into larger texts. Alien Letter Forms builds on technical and conceptual approaches borrowed from research around artificial life systems to create a digital ecology in which text agents live, reproduce, evolve, mutate and die in response to their virtual environment. Individual letters are tr...

This paper describes a corpus of about 3000 English literary texts with about 250 million words extracted from the Gutenberg project that span a range of genres from both fiction and non-fiction written by more than 130 authors (e.g., Darwin, Dickens, Shakespeare). Quantitative Narrative Analysis (QNA) is used to explore a cleaned subcorpus, the Gutenberg English Poetry Corpus (GEPC) which comp...

This paper describes a corpus of about 3,000 English literary texts with about 250 million words extracted from the Gutenberg project that span a range of genres from both fiction and non-fiction written by more than 130 authors (e.g., Darwin, Dickens, Shakespeare). Quantitative narrative analysis (QNA) is used to explore a cleaned subcorpus, the Gutenberg English Poetry Corpus (GEPC), which co...

With more and more text being available in electronic form, it is becoming relatively easy to obtain digital texts together with their translations. The paper presents the processing steps necessary to compile such texts into parallel corpora, an extremely useful language resource. Parallel corpora can be used as a translation aid for second-language learners, for translators and lexicographers...

This paper presents the ATLAS platform – multilingual language processing framework integrating the common set of linguistic tools for a group of European languages (less-resourced: Bulgarian, Croatian, Greek, Polish and Romanian together with English and German as reference languages). State-of-the-art NLP functionality offered by the platform allows for multilingual annotation of texts on low...

Today, several universal digital libraries exist such as Google Books, Project Gutenberg, Internet Archive libraries, which possess texts from general collections, and many other archives are available, concerning more specific subjects. On the digitalized texts available from these libraries, we can perform several analyses, from those typically used for time-series to those of network theory....

Geographic information extracted from texts is a valuable source of location data about documents, which can be used to improve information retrieval and document indexing. Linked Data and digital gazetteers provide a large amount of data that can support the recognition of places mentioned in text. Natural Language Processing techniques, which have evolved significantly over the last years, of...