A simple approach for building transliteration editors for Indian languages

By P. Lavanya, P. Kishore, G. Madhavi. 2005

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Natural Language Processing, Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ajit Kumar Nayak
2. Satyananda Champati Rai
3. Soumya Priyadarsini Panda

In Natural Language Processing

1. Ajit Kumar Nayak
2. Satyananda Champati Rai
3. Soumya Priyadarsini Panda

Citations in the corpus

• A survey on speech synthesis techniques in Indian languages (2020, background): “Identifying the syllable units in Indian languages is a simpler task as around 92% of the characters are of consonant–vowel type [60, 61].”