| Budget Amount *help |
¥16,120,000 (Direct Cost: ¥12,400,000、Indirect Cost: ¥3,720,000)
Fiscal Year 2017: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2016: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Outline of Final Research Achievements |
Although DALM (Double-Array Language Model) is a fast and compact implementation of ngram language models, it fails to fully capitalize on quantization techniques for values of model parameters such as probabilities of ngrams, because of a structual limitation: it stores values and indexes in the common array. In this study, we developed some variants of DALM which have separate arrays for values and indexes and can exploit benefits of quantization. We investigated basic characteristics of DALM empirically and propose "partly transposed double-array" which is a key technique to educe the ability of DALMs with separate arrays.
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