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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 101–125 of 435 papers

TitleStatusHype
Comparison of Assorted Models for Transliteration—0
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text—0
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text—0
Confusion Network for Arabic Name Disambiguation and Transliteration in Statistical Machine Translation—0
Connecting the Persian-speaking World through Transliteration—0
Constraint-Based Models of Lexical Borrowing—0
Context based Roman-Urdu to Urdu Script Transliteration System—0
ASMA: A System for Automatic Segmentation and Morpho-Syntactic Disambiguation of Modern Standard Arabic—0
Conversion between Scripts of Punjabi: Beyond Simple Transliteration—0
Cost-benefit Analysis of Two-Stage Conditional Random Fields based English-to-Chinese Machine Transliteration—0
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs—0
Assamese WordNet based Quality Enhancement of Bilingual Machine Translation System—0
A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining—0
Cross-lingual Named Entity List Search via Transliteration—0
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages—0
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching—0
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection—0
Data representation methods and use of mined corpora for Indian language transliteration—0
DCU Terminology Translation System for Medical Query Subtask at WMT14—0
DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil—0
Dealing with unknown words in statistical machine translation—0
Decoding Anagrammed Texts Written in an Unknown Language and Script—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Automatic Transliteration of Romanized Dialectal Arabic—0
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