7 citations · 7 across the 3 of their papers we have counts for
5 papers
Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine Translation
Arturo Oncevay, Kervy Dante Rivas Rojas, Liz Karen Chavez Sanchez +1
Language modelling and machine translation tasks mostly use subword or character inputs, but syllables are seldom used. Syllables provide shorter sequences than characters, require…
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages
Manuel Mager, Arturo Oncevay, Elisabeth Mager +2
Morphologically-rich polysynthetic languages present a challenge for NLP systems due to data sparsity, and a common strategy to handle this issue is to apply subword segmentation.…
Revisiting Neural Language Modelling with Syllables
Arturo Oncevay, Kervy Rivas Rojas
Language modelling is regularly analysed at word, subword or character units, but syllables are seldom used. Syllables provide shorter sequences than characters, they can be extrac…
Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks
Kervy Rivas Rojas, Gina Bustamante, Arturo Oncevay +1
In hierarchical text classification, we perform a sequence of inference steps to predict the category of a document from top to bottom of a given class taxonomy. Most of the studie…
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations
Arturo Oncevay, Barry Haddow, Alexandra Birch
Sparse language vectors from linguistic typology databases and learned embeddings from tasks like multilingual machine translation have been investigated in isolation, without anal…