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Katharina Wäschle
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2020 – today
- 2020
- [j3]Alexander Reiterer, Katharina Wäschle, Dominik Störk, Achim Leydecker, Niko Gitzen:
Fully Automated Segmentation of 2D and 3D Mobile Mapping Data for Reliable Modeling of Surface Structures Using Deep Learning. Remote. Sens. 12(16): 2530 (2020)
2010 – 2019
- 2015
- [b1]Katharina Wäschle:
Quantifying Cross-lingual Semantic Similarity for Natural Language Processing Applications. Heidelberg University, Germany, 2015 - [c6]Katharina Wäschle, Stefan Riezler:
Integrating a Large, Monolingual Corpus as Translation Memory into Statistical Machine Translation. EAMT 2015 - 2014
- [j2]Nicola Bertoldi, Patrick Simianer, Mauro Cettolo, Katharina Wäschle, Marcello Federico, Stefan Riezler:
Online adaptation to post-edits for phrase-based statistical machine translation. Mach. Transl. 28(3-4): 309-339 (2014) - 2013
- [c5]Katharina Wäschle, Patrick Simianer, Nicola Bertoldi, Stefan Riezler, Marcello Federico:
Generative and Discriminative Methods for Online Adaptation in SMT. MTSummit 2013 - [c4]Patrick Simianer, Gesa Stupperich, Laura Jehl, Katharina Wäschle, Artem Sokolov, Stefan Riezler:
The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10. NTCIR 2013 - 2012
- [c3]Katharina Wäschle, Stefan Riezler:
Structural and Topical Dimensions in Multi-Task Patent Translation. EACL 2012: 818-828 - [c2]Katharina Wäschle, Stefan Riezler:
Analyzing Parallelism and Domain Similarities in the MAREC Patent Corpus. IRFC 2012: 12-27 - [c1]Katharina Wäschle, Sascha Fendrich:
HDU: Cross-lingual Textual Entailment with SMT Features. SemEval@NAACL-HLT 2012: 467-471 - 2011
- [j1]Patrick Simianer, Katharina Wäschle, Stefan Riezler:
Multi-Task Minimum Error Rate Training for SMT. Prague Bull. Math. Linguistics 96: 99-108 (2011)
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