Building a 70 billion word corpus of English from ClueWeb

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

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POMIKÁLEK Jan RYCHLÝ Pavel JAKUBÍČEK Miloš

Rok publikování 2012
Druh Článek ve sborníku
Konference Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://nlp.fi.muni.cz/publications/lrec2012_xpomikal_pary_xjakub/lrec2012.pdf
Obor Informatika
Klíčová slova corpus; clueweb; English; encoding; word sketch
Přiložené soubory
Popis This work describes the process of creation of a 70 billion word text corpus of English. We used an existing language resource, namely the ClueWeb09 dataset, as source for the corpus data. Processing such a vast amount of data presented several challenges, mainly associated with pre-processing (boilerplate cleaning, text de-duplication) and post-processing (indexing for efficient corpus querying using the CQL – Corpus Query Language) steps. In this paper we explain how we tackled them: we describe the tools used for boilerplate cleaning (jusText) and for de-duplication (onion) that was performed not only on full (document-level) duplicates but also on the level of near-duplicate texts. Moreover we show the impact of each of the performed pre-processing steps on the final corpus size. Furthermore we show how effective parallelization of the corpus indexation procedure was employed within the Manatee corpus management system and during computation of word sketches (one-page, automatic, corpus-derived summaries of a word’s grammatical and collocational behaviour) from the resulting corpus.
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