emLam - a Hungarian Language Modeling baseline
نویسنده
چکیده
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 Hungarian benchmark corpus is introduced.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1701.07880 شماره
صفحات -
تاریخ انتشار 2017