Eduard Klyshinsky
ABSTRACT
The paper discusses statistical methods for collocation extraction. We test the following hypothesis: combining several methods gives a better result than applying just one. At the first stage we suggest two methods to combine MI and t-score rankings and evaluate the results on attributive and verbal collocations against the data attested in the dictionary. At the second stage, we use regression analysis to tune up coefficients that further improve the best method discovered at the first stage. These results are evaluated against native speakers' intuition and prove our main hypothesis for most cases.
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Index Terms
- In Search of Lost Collocations: Combining Measures to Reach the Top Range
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