The Sketch Engine

By Adam Kilgarriff, Pavel Rychlý, Pavel Smrz, David Tugwell. 2004

1,256 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f7d671e3bb784424e798a62db21eb798d3bed18b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jey Han Lau
2. Paul Cook
3. Adam Kilgarriff
4. Diana McCarthy
5. Timothy Baldwin
6. Pavel Rychlý
7. Stefan Evert
8. Andrew Hardie

Citations in the corpus

• Distributional Memory: A General Framework for Corpus-Based Semantics (2010, unknown): “For instance, the Sketch Engine builds “word sketches” consisting of triples extracted from parsed corpora and formed by two words linked by a grammatical relation (Kilgarriff et al. 2004).”
• Decoding Wikipedia Categories for Knowledge Acquisition (2008, background): “…in machine readable form is a feasible task – examples include WordNet (Fellbaum, 1998), machine readable dictionaries and concordances from corpora (Kilgarriff et al., 2004) – common sense and world knowledge on a scale large enough to be useful for natural language processing (NLP) still eludes…”
• Novel Word-sense Identification (2014, background): “…ensure that the words identified from the dictionaries do in fact have a new sense in the ukWaC sample compared to the BNC, we examine word sketches (Kilgarriff et al., 2004) 3 for each of these lemmas in the BNC and ukWaC for collocates that likely correspond to the novel sense; we exclude any…”
• The TenTen Corpus Family (2013, methodology): “All these corpora are available within the Sketch Engine (Kilgarriff et al 2004).”
• Corpora and collocations (2007, methodology): “As an alternative to the surface approach, 9 Kilgarriff et al. (2004) collect syntactic collocates from different types of syntactic relations 10 and display them as a word sketch of the node word.”
• The Sketch Engine: ten years on (2014, background): “It is now ten years since its launch (Kilgarriff et al. 2004).”
• An automatic approach to identify word sense changes in text media across timescales (2015, unknown): “Some of the first attempts to automatic word sense discovery were made by Spärk-Jones (1986); later in lexicography, it has been extensively used as a pre-processing step for preparing mono- and multi-lingual dictionaries (Kilgarriff and Tugwell 2001; Kilgarriff et al. 2004).”
• CQPweb — combining power, flexibility and usability in a corpus analysis tool (2012, methodology): “The best-known fourth-generation corpus analysis tools include Wmatrix (Rayson 2008), SketchEngine (Kilgarriff et al. 2004), and the corpus.byu.edu sys-tem (Davies 2005, Davies 2009, Davies 2010).”
• A Lexicographer-Friendly Association Score (2008, methodology): “The same scores are used in many other algorithms in corpus linguistics, for example to compute collocations in grammatical relations and an importance of grammatical relations in the Sketch Engine [2].”