13 citations · 44 across the 7 of their papers we have counts for
8 papers · 1 filter
Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World
Surangika Ranathunga, Nisansa de Silva
Linguistic disparity in the NLP world is a problem that has been widely acknowledged recently. However, different facets of this problem, or the reasons behind this disparity are s…
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation
Aloka Fernando, Surangika Ranathunga
Out-of-Vocabulary (OOV) is a problem for Neural Machine Translation (NMT). OOV refers to words with a low occurrence in the training data, or to those that are absent from the trai…
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?
En-Shiun Annie Lee, Sarubi Thillainathan, Shravan Nayak +4
What can pre-trained multilingual sequence-to-sequence models like mBART contribute to translating low-resource languages? We conduct a thorough empirical experiment in 10 language…
Neural Machine Translation for Low-Resource Languages: A Survey
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli +3
Neural Machine Translation (NMT) has seen a tremendous spurt of growth in less than ten years, and has already entered a mature phase. While considered as the most widely used solu…
Exploiting Parallel Corpora to Improve Multilingual Embedding based Document and Sentence Alignment
Dilan Sachintha, Lakmali Piyarathna, Charith Rajitha +1
Multilingual sentence representations pose a great advantage for low-resource languages that do not have enough data to build monolingual models on their own. These multilingual se…
Sentiment Analysis for Sinhala Language using Deep Learning Techniques
Lahiru Senevirathne, Piyumal Demotte, Binod Karunanayake +2
Due to the high impact of the fast-evolving fields of machine learning and deep learning, Natural Language Processing (NLP) tasks have further obtained comprehensive performances f…