WebCorpus

Hadoop framework for scalable processing of large web corpora

WebCorpus is a Hadoop-based framework that enables you to calculate statistics on large web corpora extracted from web crawls.

Features

linguistic processing of text corpora with multiple GB or TB in size using Apache Hadoop
extracts and counts sentences, word n-grams (with or without POS-tags) and cooccurrences
reads popular web crawl formats (ARC and WARC)
filters input data by language, duplicate URL, duplicate content and encoding errors
can be extended by further linguistic counts based on custom UIMA annotations

Project Samples

WebCorpus processes different types of text archives (e.g. ARC as used by the Internet Archive) and extracts linguistic statistics (e.g. word n-gram frequencies, optionally with annotated Part-of-speech-tags). The processing pipeline consists of Hadoop jobs which can be run independently or altogether from a command-line tool.

Illustrated example of last two steps of the WebCorpus pipeline. Each of these steps is realized by a specific Hadoop job. In this example, the result are counted and sorted word bigrams with annotated POS (Part-of-speech) tags.

Project Activity

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License

Apache License V2.0

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