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08/04/2023
Speaker Diarization of Scripted Audiovisual Content
The media localization industry usually requires a verbatim script of th...
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05/22/2023
Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters
To translate speech for automatic dubbing, machine translation needs to ...
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02/25/2023
Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing
Automatic dubbing (AD) is the task of translating the original speech in...
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10/19/2022
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation
This paper addresses the task of contextual translation using multi-segm...
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10/11/2022
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions
Several recent studies have reported dramatic performance improvements i...
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10/10/2022
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions
We explore zero-shot adaptation, where a general-domain model has access...
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09/27/2022
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric
We hypothesize that existing sentence-level machine translation (MT) met...
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07/12/2022
Sockeye 3: Fast Neural Machine Translation with PyTorch
Sockeye 3 is the latest version of the Sockeye toolkit for Neural Machin...
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05/09/2022
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality
The machine translation (MT) task is typically formulated as that of ret...
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04/06/2022
Prosodic Alignment for off-screen automatic dubbing
The goal of automatic dubbing is to perform speech-to-speech translation...
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12/16/2021
Isometric MT: Neural Machine Translation for Automatic Dubbing
Automatic dubbing (AD) is among the use cases where translations should ...
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12/16/2021
Prosody-Aware Neural Machine Translation for Dubbing
We introduce the task of prosody-aware machine translation which aims at...
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10/08/2021
Machine Translation Verbosity Control for Automatic Dubbing
Automatic dubbing aims at seamlessly replacing the speech in a video doc...
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07/03/2020
TICO-19: the Translation Initiative for Covid-19
The COVID-19 pandemic is the worst pandemic to strike the world in over ...
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04/10/2020
Joint translation and unit conversion for end-to-end localization
A variety of natural language tasks require processing of textual data w...
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01/19/2020
From Speech-to-Speech Translation to Automatic Dubbing
We present enhancements to a speech-to-speech translation pipeline in or...
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10/30/2019
Adapting Multilingual Neural Machine Translation to Unseen Languages
Multilingual Neural Machine Translation (MNMT) for low-resource language...
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10/23/2019
Controlling the Output Length of Neural Machine Translation
The recent advances introduced by neural machine translation (NMT) are r...
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10/22/2019
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Neural machine translation models have shown to achieve high quality whe...
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10/15/2019
On the Importance of Word Boundaries in Character-level Neural Machine Translation
Neural Machine Translation (NMT) models generally perform translation us...
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09/16/2019
Multilingual Neural Machine Translation for Zero-Resource Languages
In recent years, Neural Machine Translation (NMT) has been shown to be m...
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06/03/2019
Training Neural Machine Translation To Apply Terminology Constraints
This paper proposes a novel method to inject custom terminology into neu...
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04/24/2019
Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation
We propose a variation to the commonly used Word Error Rate (WER) metric...
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04/24/2019
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
Machine translation systems are conventionally trained on textual resour...
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11/04/2018
Improving Zero-Shot Translation of Low-Resource Languages
Recent work on multilingual neural machine translation reported competit...
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11/03/2018
Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary
We propose a method to transfer knowledge across neural machine translat...
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11/02/2018
Neural Machine Translation into Language Varieties
Both research and commercial machine translation have so far neglected t...
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06/18/2018
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation
Recently, neural machine translation (NMT) has been extended to multilin...
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05/10/2018
Deep Neural Machine Translation with Weakly-Recurrent Units
Recurrent neural networks (RNNs) have represented for years the state of...
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05/05/2018
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation
Neural machine translation (NMT) models are typically trained with fixed...
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07/31/2017
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English
The necessity of using a fixed-size word vocabulary in order to control ...
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08/16/2016
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Within the field of Statistical Machine Translation (SMT), the neural ap...
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02/17/2015
