• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 50 matches

• 2022
• 
  Sicheng Yu, Qianru Sun, Hao Zhang, Jing Jiang:
  Translate-Train Embracing Translationese Artifacts. ACL (2) 2022: 362-370
• 
  Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf:
  Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. NAACL-HLT 2022: 5303-5320
• 
  Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf:
  Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. CoRR abs/2205.02293 (2022)
• 
  Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef van Genabith, Cristina España-Bonet:
  Explaining Translationese: why are Neural Classifiers Better and what do they Learn? CoRR abs/2210.13391 (2022)
• 
  Jiaan Wang, Fandong Meng, Tingyi Zhang, Yunlong Liang, Jiarong Xu, Zhixu Li, Jie Zhou:
  Understanding Translationese in Cross-Lingual Summarization. CoRR abs/2212.07220 (2022)
• 2021
• 
  Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
  Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. EACL 2021: 2203-2213
• 
  Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith, Cristina España-Bonet:
  Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. EMNLP (1) 2021: 8596-8611
• 
  Samuel Larkin, Michel Simard, Rebecca Knowles:
  Like Chalk and Cheese? On the Effects of Translationese in MT Training. MTSummit (1) 2021: 103-113
• 
  Yuri Bizzoni, Ekaterina Lapshinova-Koltunski:
  Measuring Translationese across Levels of Expertise: Are Professionals more Surprising than Students? NoDaLiDa 2021: 53-63
• 
  Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski, Ruslan Mitkov:
  Fiction in Russian Translation: A Translationese Study. RANLP 2021: 734-743
• 
  Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
  Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. CoRR abs/2102.00287 (2021)
• 
  Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
  Sometimes We Want Translationese. CoRR abs/2104.07623 (2021)
• 
  Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith, Cristina España-Bonet:
  Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. CoRR abs/2109.07604 (2021)
• 2020
• 
  Nora Aranberri:
  Can translationese features help users select an MT system for post-editing? Proces. del Leng. Natural 64: 93-100 (2020)
• 
  Parker Riley, Isaac Caswell, Markus Freitag, David Grangier:
  Translationese as a Language in "Multilingual" NMT. ACL 2020: 7737-7746
• 
  Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith:
  Understanding Translationese in Multi-view Embedding Spaces. COLING 2020: 6056-6062
• 
  Yvette Graham, Barry Haddow, Philipp Koehn:
  Statistical Power and Translationese in Machine Translation Evaluation. EMNLP (1) 2020: 72-81
• 
  Yuri Bizzoni, Tom S. Juzek, Cristina España-Bonet, Koel Dutta Chowdhury, Josef van Genabith, Elke Teich:
  How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech. IWSLT 2020: 280-290
• 
  Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski:
  Lexicogrammatic translationese across two targets and competence levels. LREC 2020: 4102-4112
• 2019
• 
  Chen-li Kuo:
  Function words in statistical machine-translated Chinese and original Chinese: A study into the translationese of machine translation systems. Digit. Scholarsh. Humanit. 34(4): 752-771 (2019)
• 
  Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May:
  Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. ACL (1) 2019: 3057-3062
• 
  Antonio Toral:
  Post-editese: an Exacerbated Translationese. MTSummit (1) 2019: 273-281
• 
  Mike Zhang, Antonio Toral:
  The Effect of Translationese in Machine Translation Test Sets. WMT (1) 2019: 73-81
• 
  Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May:
  Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. CoRR abs/1906.05683 (2019)
• 
  Mike Zhang, Antonio Toral:
  The Effect of Translationese in Machine Translation Test Sets. CoRR abs/1906.08069 (2019)
• 
  Yvette Graham, Barry Haddow, Philipp Koehn:
  Translationese in Machine Translation Evaluation. CoRR abs/1906.09833 (2019)
• 
  Antonio Toral:
  Post-editese: an Exacerbated Translationese. CoRR abs/1907.00900 (2019)
• 
  Nikolay Bogoychev, Rico Sennrich:
  Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation. CoRR abs/1911.03362 (2019)
• 
  Parker Riley, Isaac Caswell, Markus Freitag, David Grangier:
  Translationese as a Language in "Multilingual" NMT. CoRR abs/1911.03823 (2019)
• 2017
• 
  Sara Stymne:
  The Effect of Translationese on Tuning for Statistical Machine Translation. NODALIDA 2017: 241-246

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