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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 1120 of 435 papers

TitleStatusHype
Question Answering Classification for Amharic Social Media Community Based QuestionsCode1
A machine transliteration tool between Uzbek alphabetsCode1
ParaNames: A Massively Multilingual Entity Name CorpusCode1
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
KLPT – Kurdish Language Processing ToolkitCode1
Leveraging Multilingual News Websites for Building a Kurdish Parallel CorpusCode1
Processing South Asian Languages Written in the Latin Script: the Dakshina DatasetCode1
Applying the Transformer to Character-level TransductionCode1
An Ensemble Model of Word-based and Character-based Models for Japanese and Chinese Input MethodCode1
Optimizing Multilingual Text-To-Speech with Accents & Emotions0
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