This chapter focuses on the cuneiform Akkadian texts available in the Open Richly Annotated Cuneiform Corpus (Oracc) and applies two language-technological methods, Pointwise Mutual Information (PMI) and the fastText implementation of the Continuous Skip-gram model, to a dataset of 7,346 texts.
One of the ways meanings of words can be understood is based on their distributional properties. Such methodology offers an interesting quantitative viewpoint on the study of the lexicography of long-extinct languages. This chapter explores the use of Pointwise Mutual Information (PMI), a well-known statistical word association measure used in collocation analysis