106 citations · 785 across the 59 of their papers we have counts for
7 papers · 1 filter
Improving the Cross-Lingual Generalisation in Visual Question Answering
Farhad Nooralahzadeh, Rico Sennrich
While several benefits were realized for multilingual vision-language pretrained models, recent benchmarks across various tasks and languages showed poor cross-lingual generalisati…
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues
Jason Armitage, Leonardo Impett, Rico Sennrich
In a busy city street, a pedestrian surrounded by distractions can pick out a single sign if it is relevant to their route. Artificial agents in outdoor Vision-and-Language Navigat…
Revisiting End-to-End Speech-to-Text Translation From Scratch
Biao Zhang, Barry Haddow, Rico Sennrich
End-to-end (E2E) speech-to-text translation (ST) often depends on pretraining its encoder and/or decoder using source transcripts via speech recognition or text translation tasks,…
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya +11
Natural language processing (NLP) has a significant impact on society via technologies such as machine translation and search engines. Despite its success, NLP technology is only w…
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
Jannis Vamvas, Rico Sennrich
Being able to rank the similarity of short text segments is an interesting bonus feature of neural machine translation. Translation-based similarity measures include direct and piv…
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning
Jannis Vamvas, Rico Sennrich
Omission and addition of content is a typical issue in neural machine translation. We propose a method for detecting such phenomena with off-the-shelf translation models. Using con…
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
Chantal Amrhein, Rico Sennrich
Neural metrics have achieved impressive correlation with human judgements in the evaluation of machine translation systems, but before we can safely optimise towards such metrics,…