Back Transliteration

This paper describes a statistical approach for modeling Chinese-to-English back-transliteration. Unlike previous approaches, the model does not involve the use of either a pronunciation dictionary for converting source words into …...

To be unambiguous about a Chinese geographic name represented in English text as Pinyin, one needs to recover the name in Chinese characters. We present our approach to this back-transliteration …...

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 …...

Multilingual applications frequently involve dealing with proper names, but names are often missing in bilingual lexicons. This problem is exacerbated for applications involving translation between Latin-scripted languages and Asian languages …...

AbstractMachine transliteration is used in a number of NLP applications ranging from machine translation and information retrieval to input mechanisms for non-roman scripts. Many popular Input Method Editors for Indian …...

Code-mixing is frequently observed in user generated content on social media, especially from multilingual users. The linguistic complexity of such content is compounded by presence of spelling vari- ations, transliteration …...

We present Model Invertibility Regularization (MIR), a method that jointly trains two direc- tional sequence alignment models, one in each direction, and takes into account the invertibil- ity of the …...

AbstractCode-switching is a phenomenon of mixing grammatical structures of two or more languages under varied social constraints. The code-switching data differ so radically from the benchmark corpora used in NLP …...