Search Results - "Sennrich, Rico"

Revisiting Negation in Neural Machine Translation by Tang, Gongbo, Rönchen, Philipp, Sennrich, Rico, Nivre, Joakim

“…In this paper, we evaluate the translation of negation both automatically and manually, in English–German (EN–DE) and English– Chinese (EN–ZH). We show that…”
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A Set of Recommendations for Assessing Human–Machine Parity in Language Translation by Läubli, Samuel, Castilho, Sheila, Neubig, Graham, Sennrich, Rico, Shen, Qinlan, Toral, Antonio

“…The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional…”
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Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets by Moghe, Nikita, Fazla, Arnisa, Amrhein, Chantal, Kocmi, Tom, Steedman, Mark, Birch, Alexandra, Sennrich, Rico, Guillou, Liane

“…Abstract Recent machine translation (MT) metrics calibrate their effectiveness by correlating with human judgement. However, these results are often obtained…”
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A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues by Armitage, Jason, Impett, Leonardo, Sennrich, Rico

“…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…”
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Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation by Sennrich, Rico

“…The role of language models in SMT is to promote fluent translation output, but traditional n-gram language models are unable to capture fluency phenomena…”
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A tree does not make a well-formed sentence: Improving syntactic string-to-tree statistical machine translation with more linguistic knowledge by Sennrich, Rico, Williams, Philip, Huck, Matthias

“…•String-to-tree SMT systems aim to produce grammatically well-formed translation.•Modelling assumptions of synchronous grammars can result in ungrammatical…”
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Evaluating MT for massive open online courses: A multifaceted comparison between PBSMT and NMT systems by Castilho, Sheila, Moorkens, Joss, Gaspari, Federico, Sennrich, Rico, Way, Andy, Georgakopoulou, Panayota

“…This article reports a multifaceted comparison between statistical and neural machine translation (MT) systems that were developed for translation of data from…”
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Linear-time Minimum Bayes Risk Decoding with Reference Aggregation by Vamvas, Jannis, Sennrich, Rico

“…Minimum Bayes Risk (MBR) decoding is a text generation technique that has been shown to improve the quality of machine translations, but is expensive, even if…”
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Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents by Vamvas, Jannis, Sennrich, Rico

“…Automatically highlighting words that cause semantic differences between two documents could be useful for a wide range of applications. We formulate…”
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Evaluating MT for massive open online courses: A multifaceted comparison between PBSM and NMT systems by Castilho, Sheila, Moorkens, Joss, Gaspari, Federico, Sennrich, Rico, Way, Andy, Georgakopoulou, Panayota

“…This article reports a multifaceted comparison between statistical and neural machine translation (MT) systems that were developed for translation of data from…”
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Improving the Cross-Lingual Generalisation in Visual Question Answering by Nooralahzadeh, Farhad, Sennrich, Rico

“…While several benefits were realized for multilingual vision-language pretrained models, recent benchmarks across various tasks and languages showed poor…”
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Evaluating MT for massive open online courses by Castilho, Sheila, Joss Moorkens, Gaspari, Federico, Sennrich, Rico, Way, Andy, Georgakopoulou, Panayota

“…This article reports a multifaceted comparison between statistical and neural machine translation (MT) systems that were developed for translation of data from…”
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NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures by Vamvas, Jannis, Sennrich, Rico

“…Being able to rank the similarity of short text segments is an interesting bonus feature of neural machine translation. Translation-based similarity measures…”
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As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning by Vamvas, Jannis, Sennrich, Rico

“…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…”
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Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET by Amrhein, Chantal, Sennrich, Rico

“…Neural metrics have achieved impressive correlation with human judgements in the evaluation of machine translation systems, but before we can safely optimise…”
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On the Limits of Minimal Pairs in Contrastive Evaluation by Vamvas, Jannis, Sennrich, Rico

“…Minimal sentence pairs are frequently used to analyze the behavior of language models. It is often assumed that model behavior on contrastive pairs is…”
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Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise by Aepli, Noëmi, Sennrich, Rico

“…Cross-lingual transfer between a high-resource language and its dialects or closely related language varieties should be facilitated by their similarity…”
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How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? by Amrhein, Chantal, Sennrich, Rico

“…Data-driven subword segmentation has become the default strategy for open-vocabulary machine translation and other NLP tasks, but may not be sufficiently…”
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Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation by Müller, Mathias, Sennrich, Rico

“…Neural Machine Translation (NMT) currently exhibits biases such as producing translations that are too short and overgenerating frequent words, and shows poor…”
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Evaluating Automatic Metrics with Incremental Machine Translation Systems by Wu, Guojun, Cohen, Shay B, Sennrich, Rico

“…We introduce a dataset comprising commercial machine translations, gathered weekly over six years across 12 translation directions. Since human A/B testing is…”
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