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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 171180 of 435 papers

TitleStatusHype
Graphonological Levenshtein Edit Distance: Application for Automated Cognate Identification0
Digraphie des langues ouest africaines : Latin2Ajami : un algorithme de translitteration automatique0
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity0
Hindi and Marathi to English NE Transliteration Tool using Phonology and Stress Analysis0
HindiWSD: A package for word sense disambiguation in Hinglish & Hindi0
HinMA: Distributed Morphology based Hindi Morphological Analyzer0
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints0
Homonym normalisation by word sense clustering: a case in Japanese0
A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu0
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