2 citations · 3 across the 6 of their papers we have counts for
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TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swapping
Attila Nagy, Dorina Lakatos, Botond Barta +1
Data augmentation methods for neural machine translation are particularly useful when limited amount of training data is available, which is often the case when dealing with low-re…
Data Augmentation for Machine Translation via Dependency Subtree Swapping
Attila Nagy, Dorina Petra Lakatos, Botond Barta +2
We present a generic framework for data augmentation via dependency subtree swapping that is applicable to machine translation. We extract corresponding subtrees from the dependenc…
HunSum-1: an Abstractive Summarization Dataset for Hungarian
Botond Barta, Dorina Lakatos, Attila Nagy +2
We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1.14M news articles. The dataset is built by collecting, cleaning and deduplicating data fro…