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Transliteration

Transliteration is a mechanism for converting a word in a source (foreign) language to a target language, and often adopts approaches from machine translation. In machine translation, the objective is to preserve the semantic meaning of the utterance as much as possible while following the syntactic structure in the target language. In Transliteration, the objective is to preserve the original pronunciation of the source word as much as possible while following the phonological structures of the target language.

For example, the city’s name “Manchester” has become well known by people of languages other than English. These new words are often named entities that are important in cross-lingual information retrieval, information extraction, machine translation, and often present out-of-vocabulary challenges to spoken language technologies such as automatic speech recognition, spoken keyword search, and text-to-speech.

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

Papers

Showing 201210 of 435 papers

TitleStatusHype
Incorporating Linguistic Knowledge in Statistical Machine Translation: Translating Prepositions0
Indigenous language technologies in Canada: Assessment, challenges, and successes0
IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages0
Integrating an Unsupervised Transliteration Model into Statistical Machine Translation0
International Multicultural Name Matching Competition: Design, Execution, Results, and Lessons Learned0
Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages0
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation0
Investigation of Multilingual Neural Machine Translation for Indian Languages0
IXA Biomedical Translation System at WMT16 Biomedical Translation Task0
Dictionary Look-up with Katakana Variant Recognition0
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