D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 12,232 100 World Ranking 5041 National Ranking 115

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Natural language processing
  • Machine translation

Rico Sennrich focuses on Machine translation, Artificial intelligence, Natural language processing, BLEU and Translation. His Machine translation research incorporates themes from Context, German, Vocabulary, Rule-based machine translation and Coreference. His Vocabulary study combines topics from a wide range of disciplines, such as Text segmentation, Speech recognition, Transliteration, Data compression and Dropout.

Rico Sennrich focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Machine learning and, in certain cases, CUDA and Inference. Rico Sennrich has researched Natural language processing in several fields, including Politeness and Fluency. His research integrates issues of Cohesion, Linguistic context, Sentence and Transformer in his study of BLEU.

His most cited work include:

  • Neural Machine Translation of Rare Words with Subword Units (3676 citations)
  • Improving Neural Machine Translation Models with Monolingual Data (1273 citations)
  • Edinburgh Neural Machine Translation Systems for WMT 16 (322 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Machine translation, Artificial intelligence, Natural language processing, Translation and BLEU. The concepts of his Machine translation study are interwoven with issues in Decoding methods, Speech recognition, Word and Transformer. Rico Sennrich has researched Artificial intelligence in several fields, including Machine learning and German.

The Natural language processing study combines topics in areas such as Context and Word-sense disambiguation. His studies in Translation integrate themes in fields like Segmentation, World Wide Web, System combination and Test set. His research in BLEU intersects with topics in Vocabulary, Adaptation and Zero.

He most often published in these fields:

  • Machine translation (78.74%)
  • Artificial intelligence (74.14%)
  • Natural language processing (67.24%)

What were the highlights of his more recent work (between 2019-2021)?

  • Machine translation (78.74%)
  • Artificial intelligence (74.14%)
  • Natural language processing (67.24%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Machine translation, Artificial intelligence, Natural language processing, Transformer and BLEU. His Machine translation study integrates concerns from other disciplines, such as Transfer of learning, Decoding methods, Word and Robustness. His Artificial intelligence research includes elements of Machine learning and Presentation.

His work in the fields of Natural language processing, such as Language translation, overlaps with other areas such as Parity. His study in Transformer is interdisciplinary in nature, drawing from both Sentence, Normalization, Theoretical computer science and Source code. He interconnects Speech recognition and Zero in the investigation of issues within BLEU.

Between 2019 and 2021, his most popular works were:

  • Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation (29 citations)
  • A set of recommendations for assessing human-machine parity in language translation (25 citations)
  • On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation (21 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Natural language processing
  • Programming language

Rico Sennrich mostly deals with Machine translation, Artificial intelligence, Natural language processing, Robustness and Transformer. His Machine translation research is multidisciplinary, incorporating perspectives in Linguistic context and Human–machine system. His work deals with themes such as Stance detection and German, which intersect with Artificial intelligence.

His Natural language processing study focuses on BLEU in particular. His Robustness research is multidisciplinary, relying on both Domain, Machine learning and Speech recognition. His Transformer study combines topics from a wide range of disciplines, such as Transfer of learning and Theoretical computer science.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Neural Machine Translation of Rare Words with Subword Units

Rico Sennrich;Barry Haddow;Alexandra Birch.
meeting of the association for computational linguistics (2016)

4612 Citations

Improving Neural Machine Translation Models with Monolingual Data

Rico Sennrich;Barry Haddow;Alexandra Birch.
meeting of the association for computational linguistics (2016)

1648 Citations

Edinburgh Neural Machine Translation Systems for WMT 16

Rico Sennrich;Barry Haddow;Alexandra Birch.
Proceedings of the First Conference on Machine Translation: Volume 2,#N# Shared Task Papers (2016)

367 Citations

Nematus: a Toolkit for Neural Machine Translation

Rico Sennrich;Orhan Firat;Kyunghyun Cho;Alexandra Birch.
conference of the european chapter of the association for computational linguistics (2017)

355 Citations

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Elena Voita;Elena Voita;David Talbot;Fedor Moiseev;Fedor Moiseev;Rico Sennrich.
meeting of the association for computational linguistics (2019)

336 Citations

Linguistic Input Features Improve Neural Machine Translation

Rico Sennrich;Barry Haddow.
Proceedings of the First Conference on Machine Translation: Volume 1,#N# Research Papers (2016)

279 Citations

Controlling Politeness in Neural Machine Translation via Side Constraints

Rico Sennrich;Barry Haddow;Alexandra Birch.
north american chapter of the association for computational linguistics (2016)

232 Citations

Context-Aware Neural Machine Translation Learns Anaphora Resolution

Elena Voita;Elena Voita;Pavel Serdyukov;Rico Sennrich;Rico Sennrich;Ivan Titov;Ivan Titov.
meeting of the association for computational linguistics (2018)

206 Citations

Paraphrasing Revisited with Neural Machine Translation

Jonathan Mallinson;Rico Sennrich;Mirella Lapata.
conference of the european chapter of the association for computational linguistics (2017)

176 Citations

Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation

Rico Sennrich.
conference of the european chapter of the association for computational linguistics (2012)

160 Citations

Best Scientists Citing Rico Sennrich

Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 118

Andy Way

Andy Way

Dublin City University

Publications: 98

Hermann Ney

Hermann Ney

RWTH Aachen University

Publications: 79

Eiichiro Sumita

Eiichiro Sumita

National Institute of Information and Communications Technology

Publications: 76

Philipp Koehn

Philipp Koehn

Johns Hopkins University

Publications: 75

Tie-Yan Liu

Tie-Yan Liu

Microsoft (United States)

Publications: 75

Marco Turchi

Marco Turchi

Fondazione Bruno Kessler

Publications: 66

Qun Liu

Qun Liu

Huawei Technologies (China)

Publications: 62

Yang Liu

Yang Liu

Tsinghua University

Publications: 58

Min Zhang

Min Zhang

Tsinghua University

Publications: 53

Kevin Duh

Kevin Duh

Johns Hopkins University

Publications: 50

Michael Auli

Michael Auli

Facebook (United States)

Publications: 49

Hai Zhao

Hai Zhao

Shanghai Jiao Tong University

Publications: 48

Shuming Shi

Shuming Shi

Tencent (China)

Publications: 48

Luke Zettlemoyer

Luke Zettlemoyer

University of Washington

Publications: 48

Josef van Genabith

Josef van Genabith

German Research Centre for Artificial Intelligence

Publications: 46

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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