Integrating an Unsupervised Transliteration Model into Statistical Machine Translation

Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining

We present a generative model that efficiently mines transliteration pairs in a consistent fashion in three different settings: unsupervised, semi-supervised, and supervised transliteration mining. The model interpolates…

A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining

Phonology-Augmented Statistical Framework for Machine Transliteration using Limited Linguistic Resources

Transliteration converts words in a source language (e.g., English) into words in a target language (e.g., Vietnamese). This conversion considers the phonological structure of the target language, as the transliterated o…

A Deep Learning Based Approach to Transliteration

In this paper, we propose different architectures for language independent machine transliteration which is extremely important for natural language processing (NLP) applications. Though a number of statistical models fo…

False-Friend Detection and Entity Matching via Unsupervised Transliteration

Transliterations play an important role in multilingual entity reference resolution, because proper names increasingly travel between languages in news and social media. Previous work associated with machine translation …