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

Showing 191200 of 435 papers

TitleStatusHype
Identifying Aggression and Toxicity in Comments using Capsule Network0
CLeLfPC: a Large Open Multi-Speaker Corpus of French Cued Speech0
Improving Arabic Diacritization through Syntactic Analysis0
Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval0
Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms0
Improving Statistical Machine Translation with a Multilingual Paraphrase Database0
Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages0
Improving the neural network-based machine transliteration for low-resourced language pair0
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration0
Dictionary Look-up with Katakana Variant Recognition0
Show:102550
← PrevPage 20 of 44Next →

No leaderboard results yet.