D-Index & Metrics Best Publications

Jörg Tiedemann

University of Helsinki
Finland

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 41 Citations 6,227 212 World Ranking 5569 National Ranking 40

Overview

What is he best known for?

The fields of study Jörg Tiedemann is best known for:

Phrase
Dependency grammar
Sentence

In his study, which falls under the umbrella issue of Opus, Subtitle is strongly linked to Operating system. Natural language processing connects with themes related to Parallel corpora in his study. His research links Data pre-processing with Artificial intelligence. He performs integrative study on Machine translation and Speech recognition in his works. Jörg Tiedemann brings together Speech recognition and Machine translation to produce work in his papers. Information retrieval and World Wide Web are two areas of study in which he engages in interdisciplinary work. Jörg Tiedemann integrates World Wide Web and Information retrieval in his research. Many of his studies involve connections with topics such as Dependency grammar and Dependency (UML). As part of his studies on Task (project management), Jörg Tiedemann frequently links adjacent subjects like Systems engineering.

His most cited work include:

News from OPUS — A collection of multilingual parallel corpora with tools and interfaces (463 citations)
OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles (406 citations)
Open subtitles 2018 : Statistical rescoring of sentence alignments in large, noisy parallel corpora (89 citations)

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

Jörg Tiedemann connects relevant research areas such as Machine translation, Sentence and Question answering in the realm of Natural language processing. His work on Linguistics is being expanded to include thematically relevant topics such as Word (group theory) and Machine translation. His Word (group theory) study frequently draws connections to adjacent fields such as Linguistics. Jörg Tiedemann performs integrative Artificial intelligence and Data mining research in his work. In his articles, he combines various disciplines, including Information retrieval and World Wide Web. Jörg Tiedemann undertakes multidisciplinary investigations into World Wide Web and Information retrieval in his work. Jörg Tiedemann conducted interdisciplinary study in his works that combined Messenger RNA and Translation (biology). While working on this project, he studies both Translation (biology) and Messenger RNA. Jörg Tiedemann performs multidisciplinary study on Biochemistry and Gene in his works.

Jörg Tiedemann most often published in these fields:

Artificial intelligence (91.67%)
Natural language processing (86.11%)
Machine translation (41.67%)

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

News from OPUS — A collection of multilingual parallel corpora with tools and interfaces

Jörg Tiedemann.
(2009)

691 Citations

OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles

Pierre Lison;Jörg Tiedemann.
language resources and evaluation (2016)

535 Citations

Neural Machine Translation with Extended Context

Jörg Tiedemann;Yves Scherrer.
empirical methods in natural language processing (2017)

239 Citations

Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task

Shervin Malmasi;Marcos Zampieri;Nikola Ljubešić;Preslav Nakov.
(2016)

163 Citations

An Analysis of Encoder Representations in Transformer-Based Machine Translation

Alessandro Raganato;Jörg Tiedemann.
empirical methods in natural language processing (2018)

153 Citations

Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity

Lonneke van der Plas;Jörg Tiedemann.
meeting of the association for computational linguistics (2006)

150 Citations

Findings of the VarDial Evaluation Campaign 2017

Marcos Zampieri;Shervin Malmasi;Nikola Ljubešić;Preslav Nakov.
(2017)

145 Citations

Bitext Alignment

Jrg Tiedemann.
Bitext Alignment 1st (2011)

124 Citations

Recycling Translations : Extraction of Lexical Data from Parallel Corpora and their Application in Natural Language Processing

Jörg Tiedemann.
(2003)

120 Citations

A Report on the DSL Shared Task 2014

Marcos Zampieri;Liling Tan;Nikola Ljubešić;Jörg Tiedemann.
international conference on computational linguistics (2014)

119 Citations

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Frequent Co-Authors

External Links

Personal Website for Jörg Tiedemann