BootCaT: Bootstrapping Corpora and Terms from the Web

By Marco Baroni, Silvia Bernardini. International Conference on Language Resources and Evaluation, 2004

415 citations recorded by the source corpus.

This paper introduces the BootCaT toolkit, a suite of perl programs implementing an iterative procedure to bootstrap specialized corpora and terms from the web. The procedure requires only a small set of seed terms as input. The seeds are used to build a corpus via automated Google queries, and more terms are extracted from this corpus. In turn, these new terms are used as seeds to build a larger corpus via automated queries, and so forth. The corpus and the unigram terms are then used to extract multi-word terms. We conducted an evaluation of the tools by applying them to the construction of English and Italian corpora and term lists from the domain of psychiatry. The results illustrate the potential usefulness of the tools.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/f185b09d262700f5b03911e90e94883103ba504f

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Citations in the corpus

Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages (2012, methodology): “By using an approach similar to Baroni (2004) and Sharoff (2006), frequent terms of a language are combined to form Google search queries and retrieve the resulting URLs as basis for the default download system.”
The Sketch Engine: ten years on (2014, methodology): “BootCaT (Baroni and Bernardini 2004) is a procedure for building a corpus, starting from a set of 'seed words', by making tuples (typically triples) of the seed words, sending each tuple as a query to a search engine, and then gathering the web pages that the search engine finds.”
Ontology learning from text: A look back and into the future (2012, methodology): “Seed words are also used to guide the automatic construction of text corpora from the Web [Baroni and Bernardini 2004].”