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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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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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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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03/15/2021
MENYO-20k: A Multi-domain English-Yorùbá Corpus for Machine Translation and Domain Adaptation
Massively multilingual machine translation (MT) has shown impressive cap...
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05/03/2020
Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction
We propose an automatic language-independent graph-based method to build...
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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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12/10/2019
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
We introduce GeBioToolkit, a tool for extracting multilingual parallel c...
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12/05/2019
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
The success of several architectures to learn semantic representations f...
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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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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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08/05/2016