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09/15/2023
How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models?
Customizing machine translation models to comply with fine-grained attri...
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08/07/2023
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
The challenge of low-latency speech translation has recently draw signif...
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06/08/2023
KIT's Multilingual Speech Translation System for IWSLT 2023
Many existing speech translation benchmarks focus on native-English spee...
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05/26/2023
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual Translation
Neural machine translation (NMT) models often suffer from gender biases ...
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05/12/2023
Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation
Quality Estimation (QE) is the task of predicting the quality of Machine...
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05/05/2023
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages
In many humanitarian scenarios, translation into severely low resource l...
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11/21/2022
Towards continually learning new languages
Multilingual speech recognition with neural networks is often implemente...
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11/09/2022
Efficient Speech Translation with Pre-trained Models
When building state-of-the-art speech translation models, the need for l...
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11/02/2022
Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation
The cornerstone of multilingual neural translation is shared representat...
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05/24/2022
Adaptive multilingual speech recognition with pretrained models
Multilingual speech recognition with supervised learning has achieved gr...
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04/22/2022
LibriS2S: A German-English Speech-to-Speech Translation Corpus
Recently, we have seen an increasing interest in the area of speech-to-t...
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04/12/2022
CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022
In this paper, we describe our submission to the Simultaneous Speech Tra...
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03/28/2022
Multilingual Simultaneous Speech Translation
Applications designed for simultaneous speech translation during events ...
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01/26/2022
Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques
Recently, end-to-end speech translation (ST) has gained significant atte...
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01/14/2022
Cost-Effective Training in Low-Resource Neural Machine Translation
While Active Learning (AL) techniques are explored in Neural Machine Tra...
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03/29/2021
Unsupervised Machine Translation On Dravidian Languages
Unsupervised neural machine translation (UNMT) is beneficial especially ...
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02/12/2021
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries
While recent advances in deep learning led to significant improvements i...
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12/30/2020
Improving Zero-Shot Translation by Disentangling Positional Information
Multilingual neural machine translation has shown the capability of dire...
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05/25/2020
Adapting End-to-End Speech Recognition for Readable Subtitles
Automatic speech recognition (ASR) systems are primarily evaluated on tr...
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05/22/2020
Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection
Encoder-decoder models provide a generic architecture for sequence-to-se...
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05/20/2020
Relative Positional Encoding for Speech Recognition and Direct Translation
Transformer models are powerful sequence-to-sequence architectures that ...
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04/07/2020
Machine Translation with Unsupervised Length-Constraints
We have seen significant improvements in machine translation due to the ...
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03/22/2020
Low Latency ASR for Simultaneous Speech Translation
User studies have shown that reducing the latency of our simultaneous le...
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10/29/2019
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation
Sequence-to-Sequence (S2S) models recently started to show state-of-the-...
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10/04/2019
Modeling Confidence in Sequence-to-Sequence Models
Recently, significant improvements have been achieved in various natural...
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09/30/2019
Incremental processing of noisy user utterances in the spoken language understanding task
The state-of-the-art neural network architectures make it possible to cr...
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06/20/2019
Improving Zero-shot Translation with Language-Independent Constraints
An important concern in training multilingual neural machine translation...
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04/30/2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Recently, end-to-end sequence-to-sequence models for speech recognition ...
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04/15/2019
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Speech translation has traditionally been approached through cascaded mo...
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12/17/2018
Multi-task learning to improve natural language understanding
Recently advancements in sequence-to-sequence neural network architectur...
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11/07/2018
Towards Fluent Translations from Disfluent Speech
When translating from speech, special consideration for conversational s...
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10/19/2018
Optimizing Segmentation Granularity for Neural Machine Translation
In neural machine translation (NMT), it is has become standard to transl...
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09/10/2018
Towards one-shot learning for rare-word translation with external experts
Neural machine translation (NMT) has significantly improved the quality ...
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08/01/2018
Low-Latency Neural Speech Translation
Through the development of neural machine translation, the quality of ma...
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07/27/2018
A Hierarchical Approach to Neural Context-Aware Modeling
We present a new recurrent neural network topology to enhance state-of-t...
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07/07/2018
Robust and Scalable Differentiable Neural Computer for Question Answering
Deep learning models are often not easily adaptable to new tasks and req...
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03/26/2018
Self-Attentional Acoustic Models
Self-attention is a method of encoding sequences of vectors by relating ...
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03/23/2018
Automated Evaluation of Out-of-Context Errors
We present a new approach to evaluate computational models for the task ...
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03/06/2018
An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation
Recently advancements in deep learning allowed the development of end-to...
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11/21/2017
Effective Strategies in Zero-Shot Neural Machine Translation
In this paper, we proposed two strategies which can be applied to a mult...
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09/15/2017
Transcribing Against Time
We investigate the problem of manually correcting errors from an automat...
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08/15/2017
Comparison of Decoding Strategies for CTC Acoustic Models
Connectionist Temporal Classification has recently attracted a lot of in...
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08/03/2017
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
Linguistic resources such as part-of-speech (POS) tags have been extensi...
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08/02/2017
Analyzing Neural MT Search and Model Performance
In this paper, we offer an in-depth analysis about the modeling and sear...
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04/03/2017
Neural Lattice-to-Sequence Models for Uncertain Inputs
The input to a neural sequence-to-sequence model is often determined by ...
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11/15/2016
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder
In this paper, we present our first attempts in building a multilingual ...
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10/17/2016
Pre-Translation for Neural Machine Translation
Recently, the development of neural machine translation (NMT) has signif...
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04/28/2015