p.simianer.de /
Patrick Simianer is a principal research scientist at LILT working on adaptive and interactive machine translation. He earned his PhD at the Lehrstuhl für Linguistische Informatik, Prof. Dr. Stefan Riezler's lab, Department of Computational Linguistics, Heidelberg University, Germany.
✎ p ät simianer ∙ de.
Personal
- I take photos with film (film database) and digital cameras, and have a growing photo book collection.
- I blog from time to time, see here.
- MR images I've made with my wife of some fruits and vegetables (for training purposes).
Code
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bin
My ~/bin folder.
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dotfiles
My dotfiles.
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nlp_scripts
An assortment of mostly NLP related scripts for the shell.
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snippets
Various snippets and templates for personal use.
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weather_logger
Bare bones weather logger.
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zipf
My NLP library for ruby. Gem here. Name borrowed from George Kingsley Zipf.
Research
Papers (and a patent) I contributed to, with accompanying materials, sorted by recency in descending order. My h-index is 8 according to Semantic Scholar.
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Shahnazaryan, Simianer, Wuebker
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT SystemsIn Proceedings of the 2025 International conference Recent Advances in Natural Language Processing, RANLP 2025.
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Karimova, Simianer, and Riezler:
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-EditsIn Machine Translation, Volume 32, November 2018.
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Simianer, Karimova, and Riezler:
A Post-editing Interface for Immediate Adaptation in Statistical Machine TranslationIn Proceedings of the 26th International Conference on Computational Linguistics (System Demonstrations) [COLING 2016], Osaka, Japan.
Talk given at AMTA 2016 Workshop on Interacting with Machine Translation (iMT 2016). -
Karimova, Simianer, and Riezler:
Offline Extraction of Overlapping Phrases for Hierarchical Phrase-Based TranslationIn Proceedings of the International Workshop on Spoken Language Translation (IWSLT 2014), Lake Tahoe, United States.
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Simianer and Riezler:
Multi-Task Learning for Improved Discriminative Training in SMTIn Proceedings of the Eighth Workshop on Statistical Machine Translation (WMT13), Sofia, Bulgaria.
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Simianer, Stupperich, Jehl, Wäschle, Sokolov, and Riezler:
The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10In Proceedings of the 10th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access, PatentMT, Tokyo, Japan.
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Simianer:
Tuning SMT on the Training SetMaster's Thesis.
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Simianer:
Entwicklung einer webbasierten Suchmaschine und Evaluation der Bedeutung von Parametermodifikationen im VektorraummodellBachelor's Thesis.
Code and Data
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bold_reranking
Reranker for moses that does bold updates only. Used for the 2014 MT Journal paper and 2013 MTSUMMIT paper.
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dtrain (discriminative training)
Simple tuning technique implemented for cdec. Much of the code was originally written at the machine translation marathon 2011 at Fondazione Bruno Kessler (FBK) in Trento, Italy. My development fork can be found here which
iswas regularly merged into the original repo. Example data (checksum). Original slides by Stefan Riezler. Used in my Master's thesis, our ACL'12 paper, the NTCIR 10 paper, the WMT13 paper, the IWSLT 13 and 15 papers, and the user study on adaptation of statistical machine translation. -
lfpe
Interface for exploring learning from post-editing. Usable in conjunction with a graphical derivation editor for outputs of hierarchical phrase-based machine translation outputs. Used for two user studies for statistical- and neural machine translation.
- mmert
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r01
Implementation of the one-shot- and zero-shot recall metrics proposed in the NAACL'19 paper.
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rebol
Code for grounded learning for SMT. Used for the ACL 2014 paper.
Peer Reviewing
I have served as reviewer for the following conferences, journals, and workshops.
- 6x AAAI (2024): Association for the Advancement of Artificial Intelligence
- 7x ACL (2025): Association for Computational Linguistics
- 4x AACL (2022): Asia‑Pacific Chapter of the ACL
- 2x AMTA (2024): Association for Machine Translation in the Americas
- 22x ARR (2025): ACL Rolling Review (papers)
- 1x COLING (2025): International Conference on Computational Linguistics
- 2x COLM (2025): Conference on Language Modeling
- 2x CoCo4MT (2023): Corpus Generation and Corpus Augmentation for Machine Translation
- 2x CoNLL (2017): Conference on Computational Natural Language Learning
- 2x EACL (2023): European Chapter of the ACL
- 5x EAMT (2024): European Association for Machine Translation
- 9x EMNLP (2024): Empirical Methods in Natural Language Processing
- 2x ESF (2020): European Science Foundation
- 1x IAMT (2014): Interactive and Adaptive Machine Translation
- 1x IJCNLP (2017): International Joint Conference on Natural Language Processing
- 2x IWSLT (2015): International Conference on Spoken Language Translation
- 3x MtSummit (2021): Machine Translation Summit
- 5x NAACL (2025): Nations of the Americas Chapter of the ACL
- 1x PEMDT (2020): Post‑Editing in Modern‑Day Translation
- 1x Springer Nature (2024): Journal
- 1x WiNLP (2024): Widening Natural Language Processing Workshop
- 11x WMT (2024): Conference on Machine Translation