Latin language

Scope and Contents Large-scale digitization of manuscripts is facilitated by high-accuracy optical character recognition (OCR) engines. The focus of our work is on using these tools to digitize Latin texts. Many of the texts in the language, especially the early modern, make heavy use of special characters like ligatures and accented abbreviations. Current OCRs are inadequate for our purpose: their built-in training sets do not include all these special characters, and further, post-processing of OCR output is...

Scope and Contents We describe here in detail our work toward creating a dynamic lexicon from the texts in a large digital library. By leveraging a small structured knowledge source (a 30,457 word treebank), we are able to extract selectional preferences for words from a 3.5 million word Latin corpus. This is promising news for low-resource languages and digital collections seeking to leverage a small human investment into much larger gain. The library architecture in which this work is developed allows us to...

Scope and Contents This paper presents a preliminary set of guidelines for the syntactic annotation of Latin treebanks, as jointly developed for the Latin Dependency Treebank and the Index Thomisticus.

Scope and Contents No abstract available.

Scope and Contents Funded by the Institute of Museum and Library Services. This illustration is from the plate "Plan, View, and Inscriptions - Beauchamp Tower" in the History and Antiquities of London, Westminster, Southwark and parts adjacent, Vol. 2, by Thomas Allen.