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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 131140 of 435 papers

TitleStatusHype
Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration0
A Unified Model for Arabizi Detection and Transliteration using Sequence-to-Sequence Models0
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction0
English-to-Chinese Transliteration with Phonetic Auxiliary Task0
Leveraging Alignment and Phonology for low-resource Indic to English Neural Machine Transliteration0
Homonym normalisation by word sense clustering: a case in Japanese0
Effective Architectures for Low Resource Multilingual Named Entity Transliteration0
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech0
Language Identification and Normalization of Code Mixed English and Punjabi Text0
A complete character recognition and transliteration technique for Devanagari script0
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