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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 401410 of 435 papers

TitleStatusHype
Syllable-based Machine Transliteration with Extra Phrase Features0
Transliteration by Sequence Labeling with Lattice Encodings and Reranking0
Transliteration Experiments on Chinese and Arabic0
How Are Spelling Errors Generated and Corrected? A Study of Corrected and Uncorrected Spelling Errors Using Keystroke Logs0
Latent Semantic Transliteration using Dirichlet Mixture0
Learning to Find Translations and Transliterations on the Web0
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction0
A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining0
Machine Translation without Words through Substring Alignment0
Urdu - Roman Transliteration via Finite State Transducers0
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