Search Results for author: Judit Ács

Found 8 papers, 5 papers with code

BME-TUW at SR’20: Lexical grammar induction for surface realization

no code implementations MSR (COLING) 2020 Gábor Recski, Ádám Kovács, Kinga Gémes, Judit Ács, Andras Kornai

We present a system for mapping Universal Dependency structures to raw text which learns to restore word order by training an Interpreted Regular Tree Grammar (IRTG) that establishes a mapping between string and graph operations.

Syntax-based data augmentation for Hungarian-English machine translation

1 code implementation18 Jan 2022 Attila Nagy, Patrick Nanys, Balázs Frey Konrád, Bence Bial, Judit Ács

We train Transformer-based neural machine translation models for Hungarian-English and English-Hungarian using the Hunglish2 corpus.

Data Augmentation Machine Translation +1

Evaluating Transferability of BERT Models on Uralic Languages

1 code implementation ACL (IWCLUL) 2021 Judit Ács, Dániel Lévai, András Kornai

Transformer-based language models such as BERT have outperformed previous models on a large number of English benchmarks, but their evaluation is often limited to English or a small number of well-resourced languages.

Hyperparameter Optimization NER +1

Evaluating Contextualized Language Models for Hungarian

1 code implementation22 Feb 2021 Judit Ács, Dániel Lévai, Dávid Márk Nemeskey, András Kornai

We present an extended comparison of contextualized language models for Hungarian.

NER POS

Subword Pooling Makes a Difference

1 code implementation22 Feb 2021 Judit Ács, Ákos Kádár, András Kornai

For POS tagging both of these strategies perform poorly and the best choice is to use a small LSTM over the subwords.

NER POS

Automatic punctuation restoration with BERT models

1 code implementation18 Jan 2021 Attila Nagy, Bence Bial, Judit Ács

We present an approach for automatic punctuation restoration with BERT models for English and Hungarian.

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