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08/25/2023
Measuring Spurious Correlation in Classification: 'Clever Hans' in Translationese
Recent work has shown evidence of 'Clever Hans' behavior in high-perform...
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06/06/2023
RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain
Despite recent advancements in speech recognition, there are still diffi...
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05/23/2023
A Simple Method for Unsupervised Bilingual Lexicon Induction for Data-Imbalanced, Closely Related Language Pairs
Existing approaches for unsupervised bilingual lexicon induction (BLI) o...
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04/28/2023
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?
Dense vector representations for textual data are crucial in modern NLP....
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04/20/2023
Exploring Paracrawl for Document-level Neural Machine Translation
Document-level neural machine translation (NMT) has outperformed sentenc...
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11/07/2022
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering
Hybrid tabular-textual question answering (QA) requires reasoning from h...
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10/24/2022
Explaining Translationese: why are Neural Classifiers Better and what do they Learn?
Recent work has shown that neural feature- and representation-learning, ...
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05/18/2022
Exploiting Social Media Content for Self-Supervised Style Transfer
Recent research on style transfer takes inspiration from unsupervised ne...
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05/16/2022
Towards Debiasing Translation Artifacts
Cross-lingual natural language processing relies on translation, either ...
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09/15/2021
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification
Traditional hand-crafted linguistically-informed features have often bee...
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07/19/2021
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
For most language combinations, parallel data is either scarce or simply...
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09/04/2020
Linguistically inspired morphological inflection with a sequence to sequence model
Inflection is an essential part of every human language's morphology, ye...
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07/13/2020
Transformer with Depth-Wise LSTM
Increasing the depth of models allows neural models to model complicated...
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06/25/2020
Learning Source Phrase Representations for Neural Machine Translation
The Transformer translation model (Vaswani et al., 2017) based on a mult...
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05/05/2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
The choice of hyper-parameters affects the performance of neural models....
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04/07/2020
Self-Induced Curriculum Learning in Neural Machine Translation
Self-supervised neural machine translation (SS-NMT) learns how to extrac...
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03/30/2020
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
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03/21/2020
Analyzing Word Translation of Transformer Layers
The Transformer translation model is popular for its effective paralleli...
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11/08/2019
Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
The Transformer translation model employs residual connection and layer ...
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11/04/2019
Analysing Coreference in Transformer Outputs
We analyse coreference phenomena in three neural machine translation sys...
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08/16/2019
The Transference Architecture for Automatic Post-Editing
In automatic post-editing (APE) it makes sense to condition post-editing...
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08/16/2019
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation
This paper describes strategies to improve an existing web-based compute...
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08/16/2019
UDS--DFKI Submission to the WMT2019 Similar Language Translation Shared Task
In this paper we present the UDS-DFKI system submitted to the Similar La...
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08/09/2019
UdS Submission for the WMT 19 Automatic Post-Editing Task
In this paper, we describe our submission to the English-German APE shar...
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03/07/2019
Integrating Artificial and Human Intelligence for Efficient Translation
Current advances in machine translation increase the need for translator...
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10/16/2018
INFODENS: An Open-source Framework for Learning Text Representations
The advent of representation learning methods enabled large performance ...
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10/25/2017
Exploring the Use of Text Classification in the Legal Domain
In this paper, we investigate the application of text classification met...
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08/04/2017
Predicting the Law Area and Decisions of French Supreme Court Cases
In this paper, we investigate the application of text classification met...
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08/04/2017
Massively Multilingual Neural Grapheme-to-Phoneme Conversion
Grapheme-to-phoneme conversion (g2p) is necessary for text-to-speech and...
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04/18/2017
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification
End-to-end neural machine translation has overtaken statistical machine ...
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04/14/2017
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
This paper investigates the robustness of NLP against perturbed word for...
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06/21/2016
