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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 331340 of 435 papers

TitleStatusHype
Towards Transliteration between Sindhi Scripts from Devanagari to Perso-Arabic0
Towards Zero-Shot Code-Switched Speech Recognition0
Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space0
Training Automatic Transliteration Models on DBPedia Data0
Translation of Unseen Bigrams by Analogy Using an SVM Classifier0
TRANSLIT: A Large-scale Name Transliteration Resource0
Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers0
Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition0
Transliterating Kurdish texts in Latin into Persian-Arabic script0
Transliteration and alignment of parallel texts from Cyrillic to Latin0
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