Sketch Engine is a corpus manager and text analysissoftware developed by Lexical Computing since 2003. Its purpose is to enable people studying language behaviour (lexicographers, researchers in corpus linguistics, translatorsorlanguage learners) to search large text collections according to complex and linguistically motivated queries. Sketch Engine gained its name after one of the key features, word sketches: one-page, automatic, corpus-derived summaries of a word's grammatical and collocational behaviour.[2] Currently, it supports and provides corpora in over 90 languages.[3]
Sketch Engine is a product of Lexical Computing, a company founded in 2003 by the lexicographer and research scientist Adam Kilgarriff.[4] He started a collaboration with Pavel Rychlý, a computer scientist working at the Natural Language Processing Centre, Masaryk University,[5] and the developer of Manatee and Bonito (two major parts of the software suite). Kilgarriff also introduced the concept of word sketches.
Since then, Sketch Engine has been commercial software, however, all the core features of Manatee and Bonito that were developed by 2003 (and extended since then) are freely available under the GPL license within the NoSketch Engine suite.[6]
Word sketches – a one-page automatic derived summary of a word's grammatical and collocational behaviour
Word sketch difference – compares and contrasts two words by analysing their collocations
Distributional thesaurus – automated thesaurus for finding words with similar meaning or appearing in the same/similar context
Concordance search – finds occurrences of a word form, lemma, phrase, tag or complex structure
Collocation search – word co-occurrence analysis displaying the most frequent words (for a search word) which can be regarded as collocation candidates
Word lists – generates frequency lists which can be filtered with complex criteria
n-grams – generates frequency lists of multi-word expressions
Terminology / Keyword extraction (both monolingual and bilingual) – automatic extraction of key words and multi-word terms from texts (based on frequency count and linguistic criteria)
Diachronic analysis (Trends)[7] – detecting words which undergo changes in the frequency of use in time (show trending words)
Sketch Engine can perform automatic term extraction by identifying words typical of a particular corpus, document, or text. Single words and multi-word units can be extracted from monolingual or bilingual texts. The terminology extraction feature provides a list of relevant terms based on comparison with a large corpus of general language. This functionality is also available as a separate service called OneClick Terms with a dedicated interface.[8]
A free web service based on Sketch Engine and aimed at language learners and teachers is SKELL (formerly SkELL). It exploits Sketch Engine's proprietary GDEX (Good Dictionary Examples) scoring function to provide authentic example sentences for specific target words. Results are drawn from a special corpus of high-quality texts covering everyday, standard, formal, and professional language and displayed as a concordance. SKELL also includes simplified versions of Sketch Engine's word sketch and thesaurus functions.[9]
Sketch Engine provides access to more than 700 text corpora. There are monolingual as well as multilingual corpora of different sizes (from thousand of words up to 60 billions of words) and various sources (e.g. web, books, subtitles, legal documents). The list of corpora includes British National Corpus, Brown Corpus, Cambridge Academic English Corpus and Cambridge Learner Corpus, CHILDES corpora of child language, OpenSubtitles (a set of 60 parallel corpora), 24 multilingual corpora of EUR-Lex documents, the TenTen Corpus Family (multi-billion web corpora), and Trends corpora (monitor corpora with daily updates).
Thesaurus cloud of the lemma work in Sketch Engine
Sketch Engine consists of three main components: an underlying database management system called Manatee, a web interface search front-end called Bonito, and a web interface for corpus building and management called Corpus Architect.
[17]
Manatee is a database management system specifically devised for effective indexing of large text corpora. It is based on the idea of inverted indexing (keeping an index of all positions of a given word in the text). It has been used to index text corpora comprising tens of billions of words.[18]
Searching corpora indexed by Manatee is performed by formulating queries in the Corpus Query Language (CQL).[19]
Manatee is written in C++ and offers an API for a number of other programming languages including Python, Java, Perl and Ruby. Recently, it was rewritten into Go for faster processing of corpus queries.[20]
Bonito is a web interface for Manatee providing access to corpus search. In the client–server model, Manatee is the server and Bonito plays the client part. It is written in Python.[17]
^Valentina, A., Vitalevna, B. O., Малолетняя, А. П., Olga, K., & Vit, B. (2016). RuSkELL: Online Language Learning Tool for Russian Language. In Proceedings of the XVII EURALEX International Congress. Lexicography and Linguistic Diversity (6–10 September 2016) (pp. 292-300). Ivane Javakhishvili Tbilisi State University.
