Siamese convolutional networks based on phonetic features for cognate identification

05/17/2016
by   Taraka Rama, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/04/2015

Character-level Convolutional Networks for Text Classification

This article offers an empirical exploration on the use of character-lev...
research
11/22/2017

Three-Stream Convolutional Networks for Video-based Person Re-Identification

This paper aims to develop a new architecture that can make full use of ...
research
09/04/2019

Deep Convolutional Networks in System Identification

Recent developments within deep learning are relevant for nonlinear syst...
research
10/27/2018

On the Equivalence of Convolutional and Hadamard Networks using DFT

In this paper we introduce activation functions that move the entire com...
research
03/28/2020

Harmonic Decompositions of Convolutional Networks

We consider convolutional networks from a reproducing kernel Hilbert spa...
research
02/16/2017

Fast and unsupervised methods for multilingual cognate clustering

In this paper we explore the use of unsupervised methods for detecting c...
research
04/12/2023

Function Space and Critical Points of Linear Convolutional Networks

We study the geometry of linear networks with one-dimensional convolutio...

Please sign up or login with your details

Forgot password? Click here to reset