Phonology-Augmented Statistical Framework for Machine Transliteration Using Limited Linguistic Resources
Phonology-Augmented Statistical Framework for Machine Transliteration Using Limited Linguistic Resources is a scholarly work, published in 2019 in ''IEEE/ACM transactions on audio, speech, and language processing''. The main subjects of the publication include statistical machine translation, natural language processing, and optical character recognition. The authors propose the concept of pseudo-syllables as structures\nrepresenting how segments of a foreign word are organized according to the\nsyllables of the target language's phonology.