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- W2898750483 abstract "We present and evaluate two similarity dependent Chinese Restaurant Process (sd-CRP) algorithms at the task of automated cognate detection. The sd-CRP clustering algorithms do not require any predefined threshold for detecting cognate sets in a multilingual word list. We evaluate the performance of the algorithms on six language families (more than 750 languages) and find that both the sd-CRP variants performs as well as InfoMap and better than UPGMA at the task of inferring cognate clusters. The algorithms presented in this paper are family agnostic and can be applied to any linguistically under-studied language family." @default.
- W2898750483 created "2018-11-09" @default.
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- W2898750483 date "2018-01-01" @default.
- W2898750483 modified "2023-10-18" @default.
- W2898750483 title "Similarity Dependent" @default.
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- W2898750483 doi "https://doi.org/10.18653/v1/k18-1027" @default.
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