Fast decoding and easy implementation

Abstract

Although most of previous transliteration methods are based on a generative model, this paper presents a discriminative transliteration model using conditional random fields. We regard character(s) as a kind of label, which enables us to consider a transliteration process as a sequential labeling process. This approach has two advantages: (1) fast decoding and (2) easy implementation. Experimental results yielded competitive performance, demonstrating the feasibility of the proposed approach.