Search Results for author: Annette Rios

Found 13 papers, 6 papers with code

Exploring German Multi-Level Text Simplification

1 code implementation RANLP 2021 Nicolas Spring, Annette Rios, Sarah Ebling

We report on experiments in automatic text simplification (ATS) for German with multiple simplification levels along the Common European Framework of Reference for Languages (CEFR), simplifying standard German into levels A1, A2 and B1.

Text Simplification

On Biasing Transformer Attention Towards Monotonicity

no code implementations NAACL 2021 Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich

Many sequence-to-sequence tasks in natural language processing are roughly monotonic in the alignment between source and target sequence, and previous work has facilitated or enforced learning of monotonic attention behavior via specialized attention functions or pretraining.

Morphological Inflection Transliteration

Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation

1 code implementation WMT (EMNLP) 2020 Annette Rios, Mathias Müller, Rico Sennrich

A recent trend in multilingual models is to not train on parallel data between all language pairs, but have a single bridge language, e. g. English.

Machine Translation Translation

Domain Robustness in Neural Machine Translation

2 code implementations AMTA 2020 Mathias Müller, Annette Rios, Rico Sennrich

Domain robustness---the generalization of models to unseen test domains---is low for both statistical (SMT) and neural machine translation (NMT).

Machine Translation Translation

A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation

1 code implementation WS 2018 Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich

We show that, while gains in BLEU are moderate for those systems, they outperform baselines by a large margin in terms of accuracy on our contrastive test set.

Machine Translation Translation

The Word Sense Disambiguation Test Suite at WMT18

no code implementations WS 2018 Annette Rios, Mathias M{\"u}ller, Rico Sennrich

We evaluate all German{--}English submissions to the WMT{'}18 shared translation task, plus a number of submissions from previous years, and find that performance on the task has markedly improved compared to the 2016 WMT submissions (81{\%}→93{\%} accuracy on the WSD task).

Machine Translation Translation +1

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