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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 261270 of 435 papers

TitleStatusHype
PJAIT Systems for the WMT 20160
PJIIT's systems for WMT 2017 Conference0
PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model0
Portable Spelling Corrector for a Less-Resourced Language: Amharic0
POS Tagging of English-Hindi Code-Mixed Social Media Content0
POS Tagging of Hindi-English Code Mixed Text from Social Media: Some Machine Learning Experiments0
Processing Informal, Romanized Pakistani Text Messages0
Proper Name Diacritization for Arabic Wikipedia: A Benchmark Dataset0
Proper Name Machine Translation from Japanese to Japanese Sign Language0
Putting Figures on Influences on Moroccan Darija from Arabic, French and Spanish using the WordNet0
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