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Benchmarking Data-driven Automatic Text Simplification for German
In: Säuberli, Andreas; Ebling, Sarah; Volk, Martin (2020). Benchmarking Data-driven Automatic Text Simplification for German. In: Gala, Nuria; Wilkens, Rodrigo. Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI). Marseille: European Language Resources Association, 41-48. (2020)
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2
Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection
In: Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia; Volk, Martin (2019). Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection. In: Challenges in the Management of Large Corpora (CMLC-7), Cardiff, Wales, 22 July 2019 - 22 July 2019. (2019)
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3
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain
In: Läubli, Samuel; Amrhein, Chantal; Düggelin, Patrick; Gonzalez, Beatriz; Zwahlen, Alena; Volk, Martin (2019). Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. In: Machine Translation Summit XVII, Dublin, Ireland, 19 August 2019 - 23 August 2019, 267-272. (2019)
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4
Crowdsourcing the OCR Ground Truth of a German and French Cultural Heritage Corpus
In: Clematide, Simon; Furrer, Lenz; Volk, Martin (2018). Crowdsourcing the OCR Ground Truth of a German and French Cultural Heritage Corpus. Journal for Language Technology and Computational Linguistics (JLCL), 33(1):25-47. (2018)
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5
Parallel Corpora, Terminology Extraction and Machine Translation
In: Volk, Martin (2018). Parallel Corpora, Terminology Extraction and Machine Translation. In: 16. DTT-Symposion. Terminologie und Text(e), Mannheim, 22 March 2018 - 24 March 2018, 3-14. (2018)
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6
Multi-word Adverbs – How well are they handled in Parsing and Machine Translation?
In: Volk, Martin; Graën, Johannes (2017). Multi-word Adverbs – How well are they handled in Parsing and Machine Translation? In: The 3rd Workshop on Multi-word Units in Machine Translation and Translation Technology (MUMTTT 2017), London, 14 November 2017 - 14 November 2017. (2017)
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7
Lessons from a Massive Open Online Course (MOOC) on Natural Language Processing for Digital Humanitie
In: Clematide, Simon; Meraner, Isabel; Bubenhofer, Noah; Volk, Martin (2017). Lessons from a Massive Open Online Course (MOOC) on Natural Language Processing for Digital Humanitie. In: Teaching NLP for Digital Humanitie, Berlin, 12 September 2017 - 12 September 2017, 17-22. (2017)
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8
Crossing Sentence Boundaries in Statistical Machine Translation
In: Mascarell, Laura; Rios, Annette; Volk, Martin. Crossing Sentence Boundaries in Statistical Machine Translation. In: MultiLingual, December 2016, p.50-52. (2016)
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9
Efficient Exploration of Translation Variants in Large Multiparallel Corpora Using a Relational Database
In: Graën, Johannes; Clematide, Simon; Volk, Martin (2016). Efficient Exploration of Translation Variants in Large Multiparallel Corpora Using a Relational Database. In: 4th Workshop on the Challenges in the Management of Large Corpora, Portorož, 28 May 2016 - 28 May 2016, 20-23. (2016)
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10
Multilingwis – A Multilingual Search Tool for Multi-Word Units in Multiparallel Corpora
In: Clematide, Simon; Graën, Johannes; Volk, Martin (2016). Multilingwis – A Multilingual Search Tool for Multi-Word Units in Multiparallel Corpora. In: Corpas Pastor, Gloria. Computerised and Corpus-based Approaches to Phraseology: Monolingual and Multilingual Perspectives/Fraseología computacional y basada en corpus: perspectivas monolingües y multilingües. Geneva: Tradulex, n/a. (2016)
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11
Rule-based Automatic Text Simplification for German
In: Suter, Julia; Ebling, Sarah; Volk, Martin (2016). Rule-based Automatic Text Simplification for German. In: 13th Conference on Natural Language Processing (KONVENS 2016), Bochum, Germany, 19 September 2016 - 21 September 2016. (2016)
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12
Building a Parallel Corpus on the World's Oldest Banking Magazine
In: Volk, Martin; Amrhein, Chantal; Aepli, Noëmi; Müller, Mathias; Ströbel, Phillip (2016). Building a Parallel Corpus on the World's Oldest Banking Magazine. In: KONVENS, Bochum, 19 September 2016 - 21 September 2016. (2016)
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13
Bi-particle adverbs, PoS-tagging and the recognition of german separable prefix verbs
In: Volk, Martin; Clematide, Simon; Graën, Johannes; Ströbel, Phillip (2016). Bi-particle adverbs, PoS-tagging and the recognition of german separable prefix verbs. In: KONVENS 2016, Bochum, 19 September 2016 - 21 September 2016. (2016)
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14
Reflections and a Proposal for a Query and Reporting Language for Richly Annotated Multiparallel Corpora
In: Clematide, Simon (2015). Reflections and a Proposal for a Query and Reporting Language for Richly Annotated Multiparallel Corpora. In: Gintare, Grigonyte; Clematide, Simon; Utka, Andrius; Volk, Martin. Proceedings of the Workshop on Innovative Corpus Query and Visualization Tools at NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania. Linköping, Sweden: Linköping University Electronic Press, Linköpings universitet, 6-16. (2015)
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15
Cleaning the Europarl Corpus for Linguistic Applications
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16
Cleaning the Europarl Corpus for Linguistic Applications
In: Graën, Johannes; Batinić, Dolores; Volk, Martin (2014). Cleaning the Europarl Corpus for Linguistic Applications. In: Konvens 2014, Hildesheim, 8 October 2014 - 10 October 2014. (2014)
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17
Enforcing Consistent Translation of German Compound Coreferences
In: Mascarell, Laura; Fishel, Mark; Korchagina, Natalia; Volk, Martin (2014). Enforcing Consistent Translation of German Compound Coreferences. In: Konvens, Hildesheim, Germany, 8 October 2014 - 10 October 2014. (2014)
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18
Combining statistical machine translation and translation memories with domain adaptation
In: Läubli, Samuel; Fishel, Mark; Volk, Martin; Weibel, Manuela (2013). Combining statistical machine translation and translation memories with domain adaptation. In: NODALIDA 2013, Nordic Conference of Computational Linguistics, Oslo, Norway, 22 May 2013 - 24 May 2013, 331-341. (2013)
Abstract: Since the emergence of translation memory software, translation companies and freelance translators have been accumulating translated text for various languages and domains. This data has the potential of being used for training domain-specific machine translation systems for corporate or even personal use. But while the resulting systems usually perform well in translating domain-specific language, their out-of-domain vocabulary coverage is often insufficient due to the limited size of the translation memories. In this paper, we demonstrate that small in-domain translation memories can be successfully complemented with freely available general-domain parallel corpora such that (a) the number of out-of-vocabulary words (OOV) is reduced while (b) the in-domain terminology is preserved. In our experiments, a German–French and a German–Italian statistical machine translation system geared to marketing texts of the automobile industry has been significantly improved using Europarl and OpenSubtitles data, both in terms of automatic evaluation metrics and human judgement.
Keyword: 000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
URL: https://www.zora.uzh.ch/id/eprint/78529/
https://www.zora.uzh.ch/id/eprint/78529/1/ecp1385030.pdf
http://www.ep.liu.se/ecp/085/030/ecp1385030.pdf
https://doi.org/10.5167/uzh-78529
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19
Mining for Domain-specific Parallel Text from Wikipedia
In: Plamada, Magdalena; Volk, Martin (2013). Mining for Domain-specific Parallel Text from Wikipedia. In: Proceedings of the Sixth Workshop on Building and Using Comparable Corpora, Sofia, Bulgaria, August 2013 - August 2013, 112-120. (2013)
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20
Assessing post-editing efficiency in a realistic translation environment
In: Läubli, Samuel; Fishel, Mark; Massey, Gary; Ehrensberger-Dow, Maureen; Volk, Martin (2013). Assessing post-editing efficiency in a realistic translation environment. In: MT Summit XIV Workshop on Post-editing Technology and Practice, Nice, 2 September 2013 - 2 September 2013, 83-91. (2013)
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