Terminology-finding in the Sketch Engine Miloš Jakubíček, Adam Kilgarriff, Vojtěch Kovář, Pavel Rychlý, Vit Suchomel Lexical Computing Ltd., Brighton,

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Presentation transcript:

Terminology-finding in the Sketch Engine Miloš Jakubíček, Adam Kilgarriff, Vojtěch Kovář, Pavel Rychlý, Vit Suchomel Lexical Computing Ltd., Brighton, UK & Masaryk University, Brno, Czech Republic 1

Terminology Problem #1 – Finding it 2

Terminology Problem #1 – Finding it Existing lists Ask experts Corpora 3

To find terms in a corpus Unithood – For multi-word terms – Do the words form a unit? Termhood – Does it belong to the domain? 4

Unithood Grammar Terms are noun phrases – (in canonical form, without the article) Requirements – Noun phrase grammar Prerequisites: tokeniser, lemmatiser, POS-tagger – Parsing machinery 5

Termhood Frequency – in domain corpus vs reference corpus Same as keywords Requirements – Formula for keyness – Domain corpus – Reference corpus 6

In the Sketch Engine 7

Unithood Grammar Terms are noun phrases – (in canonical form, without the article) Requirements – Noun phrase grammar To date: Chinese English French Japanese Korean Spanish In progress: German Portuguese Russian Prerequisites: tokeniser, lemmatiser, POS-tagger Available/installed for languages above and several others – Parsing machinery In place: variant on word sketches infrastructure 8

Termhood Frequency – in domain corpus vs reference corpus Same as keywords Requirements – Formula for keyness Kilgarriff 2009: Simple maths for keywords Ratio of normalised frequencies (with simplemaths parameter – Domain corpus Existing machinery for – Instant corpora from the web: WebBootCaT – Uploading/installing your own corpus – Reference corpus Large web corpora: sixty languages 9

All – what do you think looks prettiest/best – From WIPO or plain? – Mixed? – I can revisit tomorrow 10

Current status Lead customer – WIPO (World Intellectual Property Organisation) terminology group of their translation dept – Five languages: delivered – Added functionality, blacklists etc All customers – First version in beta 11

Current challenges Identical processing chain for – Reference corpus (batch mode) – Domain corpus (runtime) Lemmas and word forms – When to user singular, when plural – Adjective-noun agreement – 12

Thank you