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 1–50 of 435 papers

TitleStatusHype
Optimizing Multilingual Text-To-Speech with Accents & Emotions—0
Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models?—0
Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages—0
Lost in Transliteration: Bridging the Script Gap in Neural IR—0
Bridging the Gap: An Intermediate Language for Enhanced and Cost-Effective Grapheme-to-Phoneme Conversion with Homographs with Multiple Pronunciations Disambiguation—0
Proper Name Diacritization for Arabic Wikipedia: A Benchmark Dataset—0
Low-Resource Transliteration for Roman-Urdu and Urdu Using Transformer-Based Models—0
ParsiPy: NLP Toolkit for Historical Persian Texts in PythonCode1
Connecting the Persian-speaking World through Transliteration—0
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts—0
Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study—0
IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages—0
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages—0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration—0
Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition—0
Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder FrameworkCode0
PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model—0
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern GreekCode2
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer—0
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs—0
ChakmaNMT: A Low-resource Machine Translation On Chakma Language—0
UniGlyph: A Seven-Segment Script for Universal Language Representation—0
A two-stage transliteration approach to improve performance of a multilingual ASR—0
How Transliterations Improve Crosslingual AlignmentCode0
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts—0
Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?Code0
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training AlignmentCode0
Jailbreaking LLMs with Arabic Transliteration and ArabiziCode0
Review of Computational Epigraphy—0
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated DataCode0
ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using WikidataCode1
Swa Bhasha: Message-Based Singlish to Sinhala Transliteration—0
Charles Translator: A Machine Translation System between Ukrainian and Czech—0
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs—0
Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space—0
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching—0
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language ModelsCode0
Language Detection for Transliterated Content—0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints—0
Character-Level Bangla Text-to-IPA Transcription Using Transformer Architecture with Sequence Alignment—0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
Exploring Linguistic Similarity and Zero-Shot Learning for Multilingual Translation of Dravidian Languages—0
Show Me the World in My Language: Establishing the First Baseline for Scene-Text to Scene-Text TranslationCode1
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsCode1
Multilingual Neural Machine Translation System for Indic to Indic Languages—0
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition—0
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep LearningCode1
Multilingual Text-to-Speech Synthesis for Turkic Languages Using TransliterationCode1
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented LanguagesCode1
Show:102550
← PrevPage 1 of 9Next →

No leaderboard results yet.