Learning count classifier preferences of Malay nouns (2008)

by J Nicholson, T Baldwin
Venue:In Proc. of the Australasian Language Technology Association Workshop
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Web and Corpus Methods for Malay Count Classifier Prediction

by Jeremy Nicholson, Timothy Baldwin
"... We examine the capacity of Web and corpus frequency methods to predict preferred count classifiers for nouns in Malay. The observed F-score for the Web model of 0.671 considerably outperformed corpus-based frequency and machine learning models. We expect that this is a fruitful extension for Web–as– ..."
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We examine the capacity of Web and corpus frequency methods to predict preferred count classifiers for nouns in Malay. The observed F-score for the Web model of 0.671 considerably outperformed corpus-based frequency and machine learning models. We expect that this is a fruitful extension for Web–as–corpus approaches to lexicons in languages other than English, but further research is required in other South-East and East Asian languages. 1