106 citations · 471 across the 41 of their papers we have counts for
11 papers · 1 filter
The Impact of Text Presentation on Translator Performance
Samuel Läubli, Patrick Simianer, Joern Wuebker +3
Widely used computer-aided translation (CAT) tools divide documents into segments such as sentences and arrange them in a side-by-side, spreadsheet-like view. We present the first…
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
Denis Emelin, Ivan Titov, Rico Sennrich
Word sense disambiguation is a well-known source of translation errors in NMT. We posit that some of the incorrect disambiguation choices are due to models' over-reliance on datase…
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
Annette Rios, Mathias Müller, Rico Sennrich
Zero-shot neural machine translation is an attractive goal because of the high cost of obtaining data and building translation systems for new translation directions. However, prev…
Fast Interleaved Bidirectional Sequence Generation
Biao Zhang, Ivan Titov, Rico Sennrich
Independence assumptions during sequence generation can speed up inference, but parallel generation of highly inter-dependent tokens comes at a cost in quality. Instead of assuming…
Adaptive Feature Selection for End-to-End Speech Translation
Biao Zhang, Ivan Titov, Barry Haddow +1
Information in speech signals is not evenly distributed, making it an additional challenge for end-to-end (E2E) speech translation (ST) to learn to focus on informative features. I…
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
Elena Voita, Rico Sennrich, Ivan Titov
In Neural Machine Translation (and, more generally, conditional language modeling), the generation of a target token is influenced by two types of context: the source and the prefi…