Logarithmic Time One-Against-Some
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چکیده
LTCB is the Large Text Compression Benchmark, consisting of the first billion bytes of a particular Wikipedia dump (Mahoney, 2009). Originally developed to study text compression, it is now commonly used as a language modeling benchmark where the task is to predict the next word in the sequence. We limit the vocabulary to 80000 words plus a single out-of-vocabulary indicator; utilize a model linear in the 6 previous unigrams, the previous bigram, and the previous trigram; and utilize a 90-10 train-test split on entire Wikipedia articles.
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تاریخ انتشار 2017