Gamer.Site Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Google Books Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Google_Books_Ngram_Viewer

    The Google Books Ngram Viewer was hence developed in the hope of opening a new window to quantitative research in the humanities field, and the database contained 500 billion words from 5.2 million books publicly available from the very beginning.

  3. Google Books - Wikipedia

    en.wikipedia.org/wiki/Google_Books

    The Ngram Viewer is a service connected to Google Books that graphs the frequency of word usage across their book collection. The service is important for historians and linguists as it can provide an inside look into human culture through word use throughout time periods. [30]

  4. n-gram - Wikipedia

    en.wikipedia.org/wiki/N-gram

    Ngram Extractor: Gives weight of n-gram based on their frequency. Google's Google Books n-gram viewer and Web n-grams database (September 2006) STATOPERATOR N-grams Project Weighted n-gram viewer for every domain in Alexa Top 1M; 1,000,000 most frequent 2,3,4,5-grams from the 425 million word Corpus of Contemporary American English

  5. Culturomics - Wikipedia

    en.wikipedia.org/wiki/Culturomics

    Michel and Aiden helped create the Google Labs project Google Ngram Viewer which uses n-grams to analyze the Google Books digital library for cultural patterns in language use over time. Because the Google Ngram data set is not an unbiased sample, [5] and does not include metadata, [6] there are several pitfalls when using it to study language ...

  6. Talk:Google Books Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Talk:Google_Books_Ngram_Viewer

    Google Ngram Viewer → Google Books Ngram Viewer – The article name should be the same as the official name, i.e. "Google Books Ngram Viewer". "Google Ngram Viewer" should rather be redirected to the official name because it's a shorted version.

  7. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.

  8. How the Self Controls Its Brain - Wikipedia

    en.wikipedia.org/wiki/How_the_Self_Controls_Its...

    How the Self Controls Its Brain [1] is a book by Sir John Eccles, proposing a theory of philosophical dualism, and offering a justification of how there can be mind-brain action without violating the principle of the conservation of energy. The model was developed jointly with the nuclear physicist Friedrich Beck in the period 1991–1992. [2 ...

  9. Talk:Google Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Talk:Google_Ngram_Viewer

    Books portal; This article is within the scope of WikiProject Books. To participate in the project, please visit its page, where you can join the project and discuss matters related to book articles. To use this banner, please refer to the documentation. To improve this article, please refer to the relevant guideline for the type of work.