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Found 8 papers, 1 papers with code
BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification
We test on a set of different Sinhala text classification tasks and our analysis shows that out of the pre-trained multilingual models that include Sinhala (XLM-R, LaBSE, and LASER), XLM-R is the best model by far for Sinhala text classification.
BERTifying Sinhala -- A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification
We test on a set of different Sinhala text classification tasks and our analysis shows that out of the pre-trained multilingual models that include Sinhala (XLM-R, LaBSE, and LASER), XLM-R is the best model by far for Sinhala text classification.
Effect of Pressure for Compositionality on Language Emergence
In this paper, we present a learning environment where agents are pressured to make their emerging languages compositional by incorporating a metric of topological similarity into the loss function.
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
The network parameters pose as the parameters of those distributions.
Comprehensive Part-Of-Speech Tag Set and SVM based POS Tagger for Sinhala
This paper presents a new comprehensive multi-level Part-Of-Speech tag set and a Support Vector Machine based Part-Of-Speech tagger for the Sinhala language.
Automatic Creation of a Sentence Aligned Sinhala-Tamil Parallel Corpus
A sentence aligned parallel corpus is an important prerequisite in statistical machine translation.
