29 citations · 131 across the 34 of their papers we have counts for
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cs.CL2021★ 1 cited
Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams
Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura +1
In natural language processing (NLP), the likelihood ratios (LRs) of N-grams are often estimated from the frequency information. However, a corpus contains only a fraction of the p…
cs.CL2021★ 2 cited
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe +2
Likelihood ratios (LRs), which are commonly used for probabilistic data processing, are often estimated based on the frequency counts of individual elements obtained from samples.…