Siamese convolutional networks based on phonetic features for cognate identification
This addresses the problem of identifying cognates in linguistics, but it is incremental as it applies an existing method to a new domain.
The paper tackled cognate identification by using convolutional networks, achieving competitive results across concepts and language families compared to string similarity measures.
In this paper, we explore the use of convolutional networks (ConvNets) for the purpose of cognate identification. We compare our architecture with binary classifiers based on string similarity measures on different language families. Our experiments show that convolutional networks achieve competitive results across concepts and across language families at the task of cognate identification.