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09/13/2023
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding
Hallucinations and off-target translation remain unsolved problems in ma...
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07/28/2023
Uncertainty in Natural Language Generation: From Theory to Applications
Recent advances of powerful Language Models have allowed Natural Languag...
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05/22/2023
Towards Unsupervised Recognition of Semantic Differences in Related Documents
Automatically highlighting words that cause semantic differences between...
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05/18/2023
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
Natural language generation models reproduce and often amplify the biase...
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05/15/2023
What's the Meaning of Superhuman Performance in Today's NLU?
In the last five years, there has been a significant focus in Natural La...
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05/02/2023
SLTUNET: A Simple Unified Model for Sign Language Translation
Despite recent successes with neural models for sign language translatio...
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03/23/2023
SwissBERT: The Multilingual Language Model for Switzerland
We present SwissBERT, a masked language model created specifically for p...
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02/21/2023
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation
For end-to-end speech translation, regularizing the encoder with the Con...
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09/07/2022
Improving the Cross-Lingual Generalisation in Visual Question Answering
While several benefits were realized for multilingual vision-language pr...
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07/24/2022
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues
In a busy city street, a pedestrian surrounded by distractions can pick ...
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06/09/2022
Revisiting End-to-End Speech-to-Text Translation From Scratch
End-to-end (E2E) speech-to-text translation (ST) often depends on pretra...
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05/31/2022
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
Natural language processing (NLP) has a significant impact on society vi...
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04/28/2022
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
Being able to rank the similarity of short text segments is an interesti...
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03/03/2022
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning
Omission and addition of content is a typical issue in neural machine tr...
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02/10/2022
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
Neural metrics have achieved impressive correlation with human judgement...
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10/25/2021
Distributionally Robust Recurrent Decoders with Random Network Distillation
Neural machine learning models can successfully model language that is s...
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09/15/2021
On the Limits of Minimal Pairs in Contrastive Evaluation
Minimal sentence pairs are frequently used to analyze the behavior of la...
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09/14/2021
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
Cross-lingual transfer between a high-resource language and its dialects...
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09/08/2021
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models
Multimodal machine translation (MMT) systems have been shown to outperfo...
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09/03/2021
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT
Differently from the traditional statistical MT that decomposes the tran...
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09/02/2021
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
Data-driven subword segmentation has become the default strategy for ope...
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07/26/2021
Revisiting Negation in Neural Machine Translation
In this paper, we evaluate the translation of negation both automaticall...
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05/18/2021
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
Neural Machine Translation (NMT) currently exhibits biases such as produ...
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04/14/2021
Sparse Attention with Linear Units
Recently, it has been argued that encoder-decoder models can be made mor...
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04/08/2021
On Biasing Transformer Attention Towards Monotonicity
Many sequence-to-sequence tasks in natural language processing are rough...
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11/11/2020
The Impact of Text Presentation on Translator Performance
Widely used computer-aided translation (CAT) tools divide documents into...
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11/06/2020
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
Recent work has shown that deeper character-based neural machine transla...
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11/03/2020
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
Word sense disambiguation is a well-known source of translation errors i...
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11/03/2020
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
Zero-shot neural machine translation is an attractive goal because of th...
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10/27/2020
Fast Interleaved Bidirectional Sequence Generation
Independence assumptions during sequence generation can speed up inferen...
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10/21/2020
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
In Neural Machine Translation (and, more generally, conditional language...
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10/16/2020
Adaptive Feature Selection for End-to-End Speech Translation
Information in speech signals is not evenly distributed, making it an ad...
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09/30/2020
On Romanization for Model Transfer Between Scripts in Neural Machine Translation
Transfer learning is a popular strategy to improve the quality of low-re...
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05/07/2020
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
The standard training algorithm in neural machine translation (NMT) suff...
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04/24/2020
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
Massively multilingual models for neural machine translation (NMT) are t...
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04/24/2020
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
Sequence-to-sequence models usually transfer all encoder outputs to the ...
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04/03/2020
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
The quality of machine translation has increased remarkably over the pas...
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03/18/2020
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
We extract a large-scale stance detection dataset from comments written ...
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11/08/2019
Domain Robustness in Neural Machine Translation
Translating text that diverges from the training domain is a key challen...
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11/06/2019
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation
The quality of neural machine translation can be improved by leveraging ...
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10/16/2019
Root Mean Square Layer Normalization
Layer normalization (LayerNorm) has been successfully applied to various...
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09/03/2019
Context-Aware Monolingual Repair for Neural Machine Translation
Modern sentence-level NMT systems often produce plausible translations o...
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09/03/2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
We seek to understand how the representations of individual tokens and t...
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08/30/2019
Encoders Help You Disambiguate Word Senses in Neural Machine Translation
Neural machine translation (NMT) has achieved new state-of-the-art perfo...
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08/29/2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
The general trend in NLP is towards increasing model capacity and perfor...
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07/18/2019
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
In this paper, we try to understand neural machine translation (NMT) via...
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06/28/2019
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts
The transformer is a state-of-the-art neural translation model that uses...
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05/30/2019
A Lightweight Recurrent Network for Sequence Modeling
Recurrent networks have achieved great success on various sequential tas...
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05/28/2019
Revisiting Low-Resource Neural Machine Translation: A Case Study
It has been shown that the performance of neural machine translation (NM...
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05/23/2019
