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1
CoNLL 2017 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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Fast and unsupervised methods for multilingual cognate clustering ...
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Evolaemp/Svmcc: First Official Release Of Code And Software ...
Sofroniev, Pavel. - : Zenodo, 2017
Abstract: Source code and data accompanying the paper "Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists" by Jaeger, List, and Sofroniev This repository provides source code and data for our study on automatic cognate detection with improved machine-learning methods. More information on how to use the code can be found in the README file. For a detailed list of all our sources, please consult our paper to be published as part of the Proceedings of the EACL conference in April 2017. ...
URL: https://zenodo.org/record/237339
https://dx.doi.org/10.5281/zenodo.237339
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Using support vector machines and state-of-the-art algorithms for phonetic alignement to identify cognates in multi-lingual wordlists
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Automatic cognate classification with a Support Vector Machine
Jäger, Gerhard; Sofroniev, Pavel. - : Bochum : Ruhr-Universität Bochum, Sprachwissenschaftliches Institut, 2016
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