CLLD Concepticon 3.1.0 -

Concept hone [english]

Language	Gloss
English	hone

Pos:: verb
Ids_in_source:: ['367:to-hone-to-muddle:0', '368:to-hone-to-acquire:0', '369:to-hone-to-sharpen:0', '370:to-hone-to-wrap:0', '371:to-hone-to-dull:0', '372:to-hone-to-dull:0']
Links:: ['→438', '→13', '→593', '→765', '→212', '→212']
Polysemy_class:: ['poli2', 'poli2', 'poli2', 'poli2', 'poli2', 'poli2']
Frequency_class:: ['freqMed', 'freqMed', 'freqMed', 'freqMed', 'freqMed', 'freqMed']
Degree_class:: ['LOW', 'LOW', 'HIGH', 'NOT', 'HIGH', 'NOT']
Relation_type:: ['ANT', 'SYN', 'SYN', 'ANT', 'ANT', 'SYN']
Forward_scores:: [2.7, 1.1, 4.3, 0.5, 4.8, 0.0]
Backward_scores:: [3.6, 1.5, 4.3, 0.5, 4.9, 0.0]

Concept set:: <NA>
Concept list:: Lapesa 2014 772; The database includes semantically related word pairs for English is based on [Scheible and Schulte im Walde (2014)](ContributionTable#cldf:Scheible-2014-1755). The ratings on similarity are based on human judgement experiments and comprise (i) a representative selection of target lexical units balanced for semantic category, polysemy, and corpus frequency, (ii) a set of human-generated semantically related word pairs based on the target units, and (iii) a subset of the generated word pairs rated for their relation strength, including positive and negative relation evidence.