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![Google Ngram Viewer - Google Books]()
books.google.com1800 1820 1840 1860 1880 1900 1920 1940 1960 1980 2000 (click on line/label for focus) 0.000000% 0.000020% 0.000040% 0.000060% 0.000080% ...瀏覽：1208 -
![n-gram - Wikipedia, the free encyclopedia]()
en.wikipedia.org1 Applications 2 Examples 3 n-gram models 4 Applications and considerations 5 n-grams for approximate matching 6 Other applications 7 Bias-versus-variance trade-off 7.1 Smoothing techniques 7.2 Skip-Gram 8 Syntactic n-grams 9 See also 10 References 11 Ext瀏覽：535
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日期：2025-02-15
155 million n-grams. Only lists based on a large, recent, balanced corpora of English ... Purchase data Overview Compare to Google Processing the data Samples (COCA) Level 1 (free) Level 2 Level 3 Historical (COHA) Free (1 million)...
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日期：2025-02-16
Access petabytes of data via the Public Beta Web N-gram Services. We invite the whole community to use the Web N-gram services. ... Late last year, we introduced a private beta testing of the Web N-gram Services. We are now expanding access in the Public ...
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日期：2025-02-17
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日期：2025-02-17
Posted by Alex Franz and Thorsten Brants, Google Machine Translation Team Here at Google Research we have been using word n-gram models for a variety of R&D projects, such as statistical machine translation, speech recognition, spelling correction, entity...
Finding trending topics using Google Books n-grams data and Apache Hive on Elastic MapReduce : Artic
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日期：2025-02-14
This article gives an introduction to processing n-gram data using Amazon Elastic MapReduce and Apache Hive. In this example we will calculate the top trending topics per decade. The data used to find the topics comes from the Google Book's n-gram corpus....
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日期：2025-02-15
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日期：2025-02-21
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日期：2025-02-14
Available at: s3://datasets.elasticmapreduce/ngrams/books/ What are n-grams? N-grams are fixed size tuples of items. In this case the items are words extracted from the Google Books corpus. The n specifies the number of elements in the tuple, so a 5-gram ...
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