emLam -- a Hungarian Language Modeling baseline

01/26/2017

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by   Dávid Márk Nemeskey, et al.

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This paper aims to make up for the lack of documented baselines for Hungarian language modeling. Various approaches are evaluated on three publicly available Hungarian corpora. Perplexity values comparable to models of similar-sized English corpora are reported. A new, freely downloadable Hungar- ian benchmark corpus is introduced.