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Creating an Aligned Corpus of Sound and Text: The Multimodal Corpus of Shakespeare and Milton

arXiv.org Artificial Intelligence

In this work we present a corpus of poems by William Shakespeare and John Milton that have been enriched with readings from the public domain. We have aligned all the lines with their respective audio segments, at the line, word, syllable and phone level, and we have included their scansion. We make a basic visualization platform for these poems and we conclude by conjecturing possible future directions.


Using Finite-State Machines to Automatically Scan Classical Greek Hexameter

arXiv.org Artificial Intelligence

Greek literature has, for centuries, served as a paradigm and model for literary writing all over Europe. The oldest surviving texts of Classical Greek literature - texts such as the Iliad, the Odyssey, and the works of Hesiod - are epic poems that all share the same metre: hexameter. They are written in an artificial language that has never been spoken in everyday life and owes its origin and many of its peculiarities to the nature of metrically bound language (Meister (1921)). Comprehensive hexameter annotation is, therefore, crucial for large-scale and data-driven investigations into some of the linguistic features of Ancient Greek epic language. Furthermore, it may provide additional criteria for the evaluation of Homer's repeated verses, the so-called iterata. Within Classical Philology, controversy around the nature of the Homeric repetitions started in 1840, and it remained one of the central research questions in the field for a long period of time (see Strasser (1984), pp.