A ResNet-50-Based Convolutional Neural Network Model for Language ID Identification from Speech Recordings

no code implementations • NAACL (SIGTYP) 2021 • Giuseppe G. A. Celano

This paper describes the model built for the SIGTYP 2021 Shared Task aimed at identifying 18 typologically different languages from speech recordings.

Opera Graeca Adnotata: Building a 34M+ Token Multilayer Corpus for Ancient Greek

no code implementations • 31 Mar 2024 • Giuseppe G. A. Celano

The texts have been enriched with seven annotation layers: (i) tokenization layer; (ii) sentence segmentation layer; (iii) lemmatization layer; (iv) morphological layer; (v) dependency layer; (vi) dependency function layer; (vii) Canonical Text Services (CTS) citation layer.

Lemmatization Sentence +1

SIGTYP 2020 Shared Task: Prediction of Typological Features

no code implementations • EMNLP (SIGTYP) 2020 • Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo M. Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein

Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 2013) contain information about linguistic properties of the world's languages.

Cross-Lingual Transfer Transfer Learning