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Ortography-Semantics Consistency (OSC) is a measure of semantic relatedness between a word and its orthographic relatives, and it is computed, exploiting distributional semantics methods, as the frequency-weighted average semantic similarity between the meaning of a given word and the meanings of all the words containing that very same orthographic string.

We first described OSC in Marelli, Amenta & Crepaldi (2015), where the measure was proposed as an explantaion of a long-standing side phenomenon in the morphological-processing literature, namely the effect of "stem transparency". However, we quickly realized that the measure has a general effect on word-recognition tasks, largely independent from other psycholinguistic predictors.

If you want to include OSC as a predictor in you experiments, a database with optimized OSC estimates for 15,017 English words can be downloaded here.