3 papers
cs.CL2026
Efficient Multilingual Name Type Classification Using Convolutional Networks
Davor Lauc
We present a convolutional neural network approach for classifying proper names by language and entity type. Our model, Onomas-CNN X, combines parallel convolution branches with de…
cs.CL2024
PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model
Davor Lauc
This paper presents PolyIPA, a novel multilingual phoneme-to-grapheme conversion model designed for multilingual name transliteration, onomastic research, and information retrieval…
cs.CL2024
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer
Davor Lauc, Attapol Rutherford, Weerin Wongwarawipatr
This study introduces AyutthayaAlpha, an advanced transformer-based machine learning model designed for the transliteration of Thai proper names into Latin script. Our system achie…