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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 411420 of 435 papers

TitleStatusHype
Rescoring a Phrase-based Machine Transliteration System with Recurrent Neural Network Language Models0
Arabic Retrieval Revisited: Morphological Hole Filling0
Applying mpaligner to Machine Transliteration with Japanese-Specific Heuristics0
Report of NEWS 2012 Machine Transliteration Shared Task0
Whitepaper of NEWS 2012 Shared Task on Machine Transliteration0
Regularized Interlingual Projections: Evaluation on Multilingual Transliteration0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods0
Utilisation de la translitt\'eration arabe pour l'am\'elioration de l'alignement de mots \`a partir de corpus parall\`eles fran -arabe (Using Arabic Transliteration to Improve Word Alignment from French-Arabic Parallel Corpora) [in French]0
Entity Clustering Across Languages0
Analyzing Urdu Social Media for Sentiments using Transfer Learning with Controlled Translations0
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