SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 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 word stress annotation of Russian unrestricted text—0
A Universal Dependencies Treebank for Marathi—0
A Hybrid Transliteration Model for Chinese/English Named Entities ---BJTU-NLP Report for the 5th Named Entities Workshop—0
Automatic Transliteration of Romanized Dialectal Arabic—0
Automatic Identification of Maghreb Dialects Using a Dictionary-Based Approach—0
ANETAC: Arabic Named Entity Transliteration and Classification Dataset—0
Algorithms for certain classes of Tamil Spelling correction—0
Automatic detection of other-repetition occurrences: application to French conversational Speech—0
DIRA: Dialectal Arabic Information Retrieval Assistant—0
Automatic Correction of Arabic Text: a Cascaded Approach—0
Do we need bigram alignment models? On the effect of alignment quality on transduction accuracy in G2P—0
DuDe: Dual-Decoder Multilingual ASR for Indian Languages using Common Label Set—0
Dudley North visits North London: Learning When to Transliterate to Arabic—0
Edinburgh's Syntax-Based Systems at WMT 2014—0
Effective Architectures for Low Resource Multilingual Named Entity Transliteration—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer—0
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015—0
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents—0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods—0
English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
English-to-Chinese Transliteration with Phonetic Auxiliary Task—0
English-to-Chinese Transliteration with Phonetic Back-transliteration—0
English to Indonesian Transliteration to Support English Pronunciation Practice—0
Digraph of Senegal s local languages: issues, challenges and prospects of their transliteration—0
Digraphie des langues ouest africaines : Latin2Ajami : un algorithme de translitteration automatique—0
Show:102550
← PrevPage 3 of 9Next →

No leaderboard results yet.