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06/01/2023
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity
Previous work has shown that the representations output by contextual la...
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05/26/2023
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
Although unsupervised neural machine translation (UNMT) has achieved suc...
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05/23/2023
How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have
Due to the broad range of social media platforms and their user groups, ...
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05/22/2023
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation
Despite advances in multilingual neural machine translation (MNMT), we a...
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02/14/2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
Pretrained language models (PLMs) are trained on massive corpora, but of...
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11/14/2022
Speaking Multiple Languages Affects the Moral Bias of Language Models
Pre-trained multilingual language models (PMLMs) are commonly used when ...
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10/21/2022
m^4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
Multilingual neural machine translation models (MNMT) yield state-of-the...
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10/10/2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing
Many natural language processing (NLP) tasks are naturally imbalanced, a...
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09/30/2022
Language-Family Adapters for Multilingual Neural Machine Translation
Massively multilingual models pretrained on abundant corpora with self-s...
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05/31/2022
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings
Bilingual Word Embeddings (BWEs) are one of the cornerstones of cross-li...
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03/26/2022
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases
Databases for OLTP are often the backbone for applications such as hotel...
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03/25/2022
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies
Morphologically rich languages pose difficulties to machine translation....
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03/18/2022
Do Multilingual Language Models Capture Differing Moral Norms?
Massively multilingual sentence representations are trained on large cor...
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03/17/2022
Combining Static and Contextualised Multilingual Embeddings
Static and contextual multilingual embeddings have complementary strengt...
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01/15/2022
Addressing the Challenges of Cross-Lingual Hate Speech Detection
The goal of hate speech detection is to filter negative online content a...
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12/15/2021
Improving both domain robustness and domain adaptability in machine translation
We address two problems of domain adaptation in neural machine translati...
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10/15/2021
Why don't people use character-level machine translation?
We present a literature and empirical survey that critically assesses th...
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04/16/2021
Neural String Edit Distance
We propose the neural string edit distance model for string-pair classif...
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03/18/2021
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation
Successful methods for unsupervised neural machine translation (UNMT) em...
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10/25/2020
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task
This paper describes the submission of LMU Munich to the WMT 2020 unsupe...
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10/23/2020
Anchor-based Bilingual Word Embeddings for Low-Resource Languages
Bilingual word embeddings (BWEs) are useful for many cross-lingual appli...
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09/16/2020
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
Using a language model (LM) pretrained on two languages with large monol...
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07/10/2020
Pragmatic information in translation: a corpus-based study of tense and mood in English and German
Grammatical tense and mood are important linguistic phenomena to conside...
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04/30/2020
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation
Achieving satisfying performance in machine translation on domains for w...
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04/29/2020
Towards Character-Level Transformer NMT by Finetuning Subword Systems
Applying the Transformer architecture on the character level usually req...
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04/09/2020
On the Language Neutrality of Pre-trained Multilingual Representations
Multilingual contextual embeddings, such as multilingual BERT (mBERT) an...
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11/08/2019
How Language-Neutral is Multilingual BERT?
Multilingual BERT (mBERT) provides sentence representations for 104 lang...
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07/19/2017
Modeling Target-Side Inflection in Neural Machine Translation
NMT systems have problems with large vocabulary sizes. Byte-pair encodin...
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07/05/2016