Jörg Tiedemann

8.7k citations
176 papers · 4.2k indexed · 2 hit papers · h-index 32

Jörg Tiedemann

165 papers receiving 3.6k citations

Hit Papers

OpenSubtitles2016: Extracting Large Parallel Corpora from...3352012202620162021200400600

Peers

Jörg Tiedemann
Comparison fields: 5 of 112
  • Artificial Intelligence 3.9k
  • Language and Linguistics 414
  • Computer Vision and Pattern Recognition 622
  • Linguistics and Language 96
  • General Social Sciences 33
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Citations per year

Countries citing papers authored by Jörg Tiedemann

Since Specialization
Citations

This map shows the geographic impact of Jörg Tiedemann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jörg Tiedemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Tiedemann more than expected).

Fields of papers citing papers by Jörg Tiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg Tiedemann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jörg Tiedemann. The network helps show where Jörg Tiedemann may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jörg Tiedemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jörg Tiedemann Line = papers co-authored together Jörg Tiedemann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20230
4 20239
5 20220
6
The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research
20203
7
OpusTools and Parallel Corpus Diagnostics
20207
8 20183
9
The Challenges of Multi-dimensional Sentiment Analysis Across Languages
20163
10
Finding Alternative Translations in a Large Corpus of Movie Subtitle
201616
11
Translating Pronouns with Latent Anaphora Resolution
20142
12
Proceedings of the Workshop on Discourse in Machine Translation
20139
13
Tunable Distortion Limits and Corpus Cleaning for SMT
20139
14
Detection of Hospital Acquired Infections in Sparse and Noisy Swedish Patient Records
20125
15
Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment
20109
16
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
201043
17
ISA & ICA - Two Web Interfaces for Interactive Alignment of Bitexts alignment of parallel texts
20064
18
Scaling Up an MT Prototype for Industrial Use - Databases and Data Flow
20027
19
Automatic Construction of Weighted String Similarity Measures
199928
20
Review of Linguistic databases by John Nerbonne. CSLI Publications 1998.
19991

About Jörg Tiedemann

Jörg Tiedemann is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition, having authored 176 papers that have together received 4.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (155 papers), Topic Modeling (131 papers), Text Readability and Simplification (37 papers), Speech and dialogue systems (28 papers), Semantic Web and Ontologies (22 papers), Multimodal Machine Learning Applications (12 papers), Translation Studies and Practices (9 papers) and Authorship Attribution and Profiling (8 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Language and Linguistics (414 citations) and Computer Vision and Pattern Recognition (622 citations). Jörg Tiedemann has collaborated with scholars based in Sweden, Finland and Netherlands. Frequent co-authors include Pierre Lison, Alessandro Raganato, Christian Hardmeier, Nikola Ljubešić, Marcos Zampieri, Joakim Nivre, Preslav Nakov, Gideon Kotzé, Robert Östling and Lonneke van der Plas. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Pediatrics and Solar Energy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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