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Swiftcap: R 套件，用于创建 N-gram 语言模型

Swiftcap: R 套件，用于创建 N-gram 语言模型

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Swiftcap 提供构建 N-gram 语言模型的功能，以在受限移动设备上提高打字效率。该模型可预测下一个单词，类似于 Android 和 iOS 移动设备的应用程序。安装：devtools::install_github("nickwallen/swiftcap"。使用：ngram(数据) 拟合模型，predict(模型，"下一个词") 预测单词。另提供展示模型结果的仪表板和描述底层统计模型的文档。

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swiftcap-master.zip 预估大小：48个文件
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swiftcap-master 文件夹
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swiftcap.Rproj 356B
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NAMESPACE 274B
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DESCRIPTION 706B
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R 文件夹
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swiftcap.R 文件夹
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ngram-mle.R 1003B
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predict-ngram.R 2KB
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data.R 1KB
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split-by-word.R 377B
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split-by-ngram.R 1KB
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ngram-character.R 5KB
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last-word.R 510B
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except-last-word.R 649B
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split-by-sentence.R 745B
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ngram.R 3KB
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clean-sentences.R 1KB
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.Rbuildignore 39B
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README.md 891B
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data 文件夹
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model.rda 7.42MB
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blogs.rda 1.35MB
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twitter.rda 1.2MB
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news.rda 1.31MB
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man 文件夹
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model.Rd 1KB
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news.Rd 494B
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split_by_word.Rd 335B
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split_by_ngram.Rd 676B
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ngram_mle.Rd 636B
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twitter.Rd 464B
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blogs.Rd 389B
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predict.ngram.Rd 610B
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ngram.character.Rd 3KB
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clean_sentences.Rd 664B
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swiftkey-capstone-model-package.Rd 1KB
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ngram.Rd 3KB
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split_by_sentence.Rd 494B
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last_word.Rd 388B
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except_last_word.Rd 430B
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tests 文件夹
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testthat 文件夹
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clean-sentences-tests.R 2KB
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split-by-word-tests.R 314B
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split-by-sentence-tests.R 1020B
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testthat.R 60B
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.gitignore 29B
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data-raw 文件夹
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twitter.zip 73.76MB
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ngrams.R 940B
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news.R 529B
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twitter.R 572B
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news.zip 85.58MB
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blogs.zip 85.89MB
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blogs.R 537B
zip 文件大小：256.53MB