Labels: automation Adam Kilgarriff

Kivik 2013Kilgarriff / Labels: automation2 Which words are:  Most distinctive of business English? Keywords, already shown  Most often passive?

Kivik 2013Kilgarriff / Labels: automation3 Common issue for lexicographers  Ordinary cases No need to say anything in dictionary  Extreme cases (“most X”) Needs saying

Kivik 2013Kilgarriff / Labels: automation4 Not hard in principle  Given the right corpus For each word  Count, under condition 1 Eg plural instances  Count, under condition 2 Eg all instances  Compute ratio Sort all words according to ratio Words at top of list are most X

Kivik 2013Kilgarriff / Labels: automation5 In practice  Programming task  Big corpora: big and slow  Slightly different each time  Very rarely done (except Keywords in WordSmith)  Now: in Sketch Engine

Kivik 2013Kilgarriff / Labels: automation6 FindX specification file =passive name HR passives human-readable name (optional) WS passive use the word sketch relation ‘passive’ RE -v$ only for items matching this RegExp (here: only verbs) (optional)

Kivik 2013Kilgarriff / Labels: automation7 PercentilRatioLemposFreq base-v station-v destine-v poise-v doom-v situate-v schedule-v associate-v entitle-v embed-v couple-v jail-v deem-v arm-v design-v clothe-v flank-v confine-v dedicate-v compose-v convict-v ally-v age-v attach-v gear-v levy-v elect-v found-v award-v3103 Find X