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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 150 of 435 papers

TitleStatusHype
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern GreekCode2
Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion UsersCode2
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsCode1
An Ensemble Model of Word-based and Character-based Models for Japanese and Chinese Input MethodCode1
Question Answering Classification for Amharic Social Media Community Based QuestionsCode1
ParaNames: A Massively Multilingual Entity Name CorpusCode1
Multilingual Text-to-Speech Synthesis for Turkic Languages Using TransliterationCode1
Show Me the World in My Language: Establishing the First Baseline for Scene-Text to Scene-Text TranslationCode1
A machine transliteration tool between Uzbek alphabetsCode1
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented LanguagesCode1
ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using WikidataCode1
Processing South Asian Languages Written in the Latin Script: the Dakshina DatasetCode1
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
Leveraging Multilingual News Websites for Building a Kurdish Parallel CorpusCode1
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep LearningCode1
ParsiPy: NLP Toolkit for Historical Persian Texts in PythonCode1
KLPT – Kurdish Language Processing ToolkitCode1
Applying the Transformer to Character-level TransductionCode1
Beyond Arabic: Software for Perso-Arabic Script ManipulationCode1
Specializing Multilingual Language Models: An Empirical StudyCode0
Sequence-to-sequence neural network models for transliterationCode0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan LanguagesCode0
A Multi-cascaded Deep Model for Bilingual SMS ClassificationCode0
Orthographic Transliteration for Kabyle Speech RecognitionCode0
On Biasing Transformer Attention Towards MonotonicityCode0
Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder FrameworkCode0
Towards Offensive Language Identification for Dravidian LanguagesCode0
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and PostsCode0
An Empirical Study of Chinese Name Matching and ApplicationsCode0
How Transliterations Improve Crosslingual AlignmentCode0
Jailbreaking LLMs with Arabic Transliteration and ArabiziCode0
A Large-scale Evaluation of Neural Machine Transliteration for Indic LanguagesCode0
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages StudyCode0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
Cross-Lingual Text Classification of Transliterated Hindi and MalayalamCode0
Design Challenges in Named Entity TransliterationCode0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
Event detection in Twitter: A keyword volume approachCode0
Context Independent Term Mapper for European LanguagesCode0
Creating Large-Scale Multilingual Cognate TablesCode0
Does Transliteration Help Multilingual Language Modeling?Code0
IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languagesCode0
Bootstrapping Transliteration with Constrained Discovery for Low-Resource LanguagesCode0
Bilingual dictionaries for all EU languagesCode0
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training AlignmentCode0
A Rule-based Kurdish Text Transliteration SystemCode0
Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?Code0
Efficient Sequence Labeling with Actor-Critic TrainingCode0
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