Google N-Gram-Patterns is software that creates a co-occurrence network using Google's n-gram data. This allows for analysis of patterns in language usage over time.
If you're a linguist or data scientist looking for a way to analyze Google n-gram data, Google N-Gram-Patterns is the perfect solution for you. This software seeks to build a co-occurrence network based on n-gram data provided by Google Inc. Thanks to this project, you now have access to an easy and fast way to analyze Google n-gram data, which consists of a vast amount of word information based on real-life searching queries entered by internet users.
Using Google N-Gram-Patterns you no longer have to worry about the challenge of analyzing such a large amount of data. This project presents a possible parallel solution to build and access co-occurrence network using Google n-gram data. As a result, you'll be able to use the co-occurrence network to find a relationship (path) between words in this large corpus.
Moreover, with Google N-Gram-Patterns you'll also get a chance to build a common library based on C/MPI for all the similar co-occurrence network analysis programs. This feature is particularly useful if you're working with a team and want to ensure everyone has access to the same tools.
This method has already been tested on both the Blade system and Altix system from MSI at University of Minnesota Twin City campus. Overall, we highly recommend Google N-Gram-Patterns for its ease of use, speed and powerful features that will help you easily analyze Google n-gram data.
Using Google N-Gram-Patterns you no longer have to worry about the challenge of analyzing such a large amount of data. This project presents a possible parallel solution to build and access co-occurrence network using Google n-gram data. As a result, you'll be able to use the co-occurrence network to find a relationship (path) between words in this large corpus.
Moreover, with Google N-Gram-Patterns you'll also get a chance to build a common library based on C/MPI for all the similar co-occurrence network analysis programs. This feature is particularly useful if you're working with a team and want to ensure everyone has access to the same tools.
This method has already been tested on both the Blade system and Altix system from MSI at University of Minnesota Twin City campus. Overall, we highly recommend Google N-Gram-Patterns for its ease of use, speed and powerful features that will help you easily analyze Google n-gram data.
What's New
Version 1.0: N/A