Afrikaans Literary Genre Recognition using Embeddings and Pre-Trained Multilingual Language Models

How Linguistically Fair Are Multilingual Pre-Trained Language Models?

Massively multilingual pre-trained language models, such as mBERT and XLM-RoBERTa, have received sig

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models

Recent work has shown that Pre-trained Language Models (PLMs) store the relational knowledge learned

From N-grams to Pre-trained Multilingual Models For Language Identification

In this paper, we investigate the use of N-gram models and Large Pre-trained Multilingual models for

Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages

Building Spoken Language Understanding (SLU) systems that do not rely on language specific Automatic

Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Models

IEEE ICASSP 2023 Conference, Hybrid Event, 4-10 June 2023, Rhodes Island, Greece Given the strong re

African Pre-Trained Embeddings [NLP]

A first set of African Language Embeddings

• Word Embeddings