Adam St Arnaud


Identifying Cognate Sets Across Dictionaries of Related Languages
Adam St Arnaud | David Beck | Grzegorz Kondrak
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

We present a system for identifying cognate sets across dictionaries of related languages. The likelihood of a cognate relationship is calculated on the basis of a rich set of features that capture both phonetic and semantic similarity, as well as the presence of regular sound correspondences. The similarity scores are used to cluster words from different languages that may originate from a common proto-word. When tested on the Algonquian language family, our system detects 63% of cognate sets while maintaining cluster purity of 70%.


Morphological Reinflection via Discriminative String Transduction
Garrett Nicolai | Bradley Hauer | Adam St Arnaud | Grzegorz Kondrak
Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology


Multiple System Combination for Transliteration
Garrett Nicolai | Bradley Hauer | Mohammad Salameh | Adam St Arnaud | Ying Xu | Lei Yao | Grzegorz Kondrak
Proceedings of the Fifth Named Entity Workshop