SOTAVerified

A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages

2021-04-01EACL 2021Code Available0· sign in to hype

Anoop Kunchukuttan, Siddharth Jain, Rahul Kejriwal

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

We take up the task of large-scale evaluation of neural machine transliteration between English and Indic languages, with a focus on multilingual transliteration to utilize orthographic similarity between Indian languages. We create a corpus of 600K word pairs mined from parallel translation corpora and monolingual corpora, which is the largest transliteration corpora for Indian languages mined from public sources. We perform a detailed analysis of multilingual transliteration and propose an improved multilingual training recipe for Indic languages. We analyze various factors affecting transliteration quality like language family, transliteration direction and word origin.

Tasks

Reproductions