Точность транслитерации

Most foreign names are transliterated into Chinese, Japanese or Korean with approximate phonetic equivalents. The transliteration is usually achieved through intermediate phonemic mapping. This paper presents a new framework that …...

Machine transliteration/back-transliteration plays an important role in many multilingual speech and language applications. In this paper, a novel framework for machine transliteration/back- transliteration that allows us to carry out direct …...

Existing named entity (NE) transliteration approaches often exploit a general model to transliterate NEs, regardless of their origins. As a result, both a Chinese name and a French name (assuming …...

We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letter- alignment and letter n-gram pairs learned from available bilingual dictionaries. Letter-classes, such …...

We present a discriminative substring de- coder for transliteration. This decoder extends recent approaches for discrimi- native character transduction by allow- ing for a list of known target-language words, an …...

This paper studies the problem of mining en- tity translation, specifically, mining English and Chinese name pairs. Existing efforts can be categorized into (a) a transliteration- based approach leveraging phonetic …...

Machine transliteration is often referred to as phonetic translation. We show that transliterations incorporate information from both spelling and pronunciation, and pro- pose an effective model for joint transliter- ation …...