Sold by: Not managed
Open data
|
Deployed on AWS
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 contains five words or characters. The n-grams in this dataset were produced by passing a sliding window of the text of books and outputting a record for each new token.
Overview
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 contains five words or characters. The n-grams in this dataset were produced by passing a sliding window of the text of books and outputting a record for each new token.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- A data set containing Google Books n-gram corpora in a Hadoop friendly file format.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::datasets.elasticmapreduce/ngrams/books/
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://datasets.elasticmapreduce/ngrams/books//
Resources
Vendor resources
Support
Managed By
Not managed
How to cite
Google Books Ngrams was accessed on DATE from https://registry.opendata.aws/google-ngrams .
License
Creative Commons Attribution 3.0 Unported License
Similar products
This NLP based solution finds meaningful and frequent n-grams/phrases of words in the provided text.
Sentence Embedding based on the RoBERTa Model https://huggingface.co/FacebookAI/roberta-base for running on GPUs
State-of-the-Art Natural Language Processing libraries and Python notebooks. Includes licensed software & models for text mining, DL and Visual model training, tuning, and testing.
This is a Text Classification model from TensorFlow Hub