11 citations · 25 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Morphosyntactic probing of multilingual BERT models
Judit Acs, Endre Hamerlik, Roy Schwartz +2
We introduce an extensive dataset for multilingual probing of morphological information in language models (247 tasks across 42 languages from 10 families), each consisting of a se…
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…