1. Labels: automation Adam Kilgarriff

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

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

4. 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

5. 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

6. 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)

7. Kivik 2013Kilgarriff / Labels: automation7 PercentilRatioLemposFreq 0.275.1base-v19201 0.274.1station-v557 0.373.0destine-v771 0.470.3poise-v640 0.469.6doom-v520 0.667.2situate-v2025 0.666.9schedule-v1602 0.766.5associate-v8094 0.766.4entitle-v2669 0.865.4embed-v688 0.865.2couple-v1421 1.459.3jail-v960 1.558.2deem-v1626 1.557.2arm-v1195 1.656.9design-v11662 1.856.2clothe-v749 1.855.9flank-v551 1.855.8confine-v2663 1.955.5dedicate-v1291 2.054.4compose-v2391 2.054.3convict-v1298 2.253.2ally-v555 2.352.9age-v2020 2.452.5attach-v4840 2.452.0gear-v733 2.551.7levy-v603 2.751.2elect-v5135 3.050.3found-v2901 3.050.3award-v3103 Find X