552 citations · 816 across the 123 of their papers we have counts for
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Synthetic Source Language Augmentation for Colloquial Neural Machine Translation
Asrul Sani Ariesandy, Mukhlis Amien, Alham Fikri Aji +1
Neural machine translation (NMT) is typically domain-dependent and style-dependent, and it requires lots of training data. State-of-the-art NMT models often fall short in handling…
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation
Haryo Akbarianto Wibowo, Tatag Aziz Prawiro, Muhammad Ihsan +4
In its daily use, the Indonesian language is riddled with informality, that is, deviations from the standard in terms of vocabulary, spelling, and word order. On the other hand, cu…
Fully Synthetic Data Improves Neural Machine Translation with Knowledge Distillation
Alham Fikri Aji, Kenneth Heafield
This paper explores augmenting monolingual data for knowledge distillation in neural machine translation. Source language monolingual text can be incorporated as a forward translat…
Costs to Consider in Adopting NLP for Your Business
Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Radityo Eko Prasojo +1
Recent advances in Natural Language Processing (NLP) have largely pushed deep transformer-based models as the go-to state-of-the-art technique without much regard to the production…