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07/06/2023
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training
Automatic metrics play a crucial role in machine translation. Despite th...
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06/18/2023
MOSPC: MOS Prediction Based on Pairwise Comparison
As a subjective metric to evaluate the quality of synthesized speech, Me...
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06/15/2023
Understanding Parameter Sharing in Transformers
Parameter sharing has proven to be a parameter-efficient approach. Previ...
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06/07/2023
MobileNMT: Enabling Translation in 15MB and 30ms
Deploying NMT models on mobile devices is essential for privacy, low lat...
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05/19/2023
DUB: Discrete Unit Back-translation for Speech Translation
How can speech-to-text translation (ST) perform as well as machine trans...
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02/20/2023
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
While diffusion models have achieved great success in generating continu...
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12/20/2022
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation
Multimodal machine translation (MMT) aims to improve translation quality...
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12/19/2022
SEScore2: Retrieval Augmented Pretraining for Text Generation Evaluation
Is it possible to leverage large scale raw and raw parallel corpora to b...
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12/17/2022
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation
Nearest Neighbor Machine Translation (kNNMT) is a simple and effective m...
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12/07/2022
M3ST: Mix at Three Levels for Speech Translation
How to solve the data scarcity problem for end-to-end speech-to-text tra...
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10/20/2022
The VolcTrans System for WMT22 Multilingual Machine Translation Task
This report describes our VolcTrans system for the WMT22 shared task on ...
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10/08/2022
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning
Speech is the surface form of a finite set of phonetic units, which can ...
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09/23/2022
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts
Domain adaptation is an important challenge for neural machine translati...
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05/18/2022
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation
Direct Speech-to-speech translation (S2ST) has drawn more and more atten...
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05/05/2022
Cross-modal Contrastive Learning for Speech Translation
How can we learn unified representations for spoken utterances and their...
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04/08/2022
GigaST: A 10,000-hour Pseudo Speech Translation Corpus
This paper introduces GigaST, a large-scale pseudo speech translation (S...
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03/20/2022
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation
How to learn a better speech representation for end-to-end speech-to-tex...
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01/24/2022
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
The punctuation restoration task aims to correctly punctuate the output ...
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10/12/2021
LightSeq2: Accelerated Training for Transformer-based Models on GPUs
Transformer-based neural models are used in many AI applications. Traini...
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09/23/2021
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
This paper describes the Volctrans' submission to the WMT21 news transla...
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09/21/2021
Learning Kernel-Smoothed Machine Translation with Retrieved Examples
How to effectively adapt neural machine translation (NMT) models accordi...
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09/15/2021
UniST: Unified End-to-end Model for Streaming and Non-streaming Speech Translation
This paper presents a unified end-to-end frame-work for both streaming a...
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09/11/2021
Multilingual Translation via Grafting Pre-trained Language Models
Can pre-trained BERT for one language and GPT for another be glued toget...
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08/27/2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
This paper presents Self-correcting Encoding (Secoco), a framework that ...
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06/15/2021
Language Tags Matter for Zero-Shot Neural Machine Translation
Multilingual Neural Machine Translation (MNMT) has aroused widespread in...
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05/20/2021
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Existing multilingual machine translation approaches mainly focus on Eng...
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05/19/2021
Learning Language Specific Sub-network for Multilingual Machine Translation
Multilingual neural machine translation aims at learning a single transl...
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05/16/2021
The Volctrans Neural Speech Translation System for IWSLT 2021
This paper describes the systems submitted to IWSLT 2021 by the Volctran...
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05/07/2021
Learning Shared Semantic Space for Speech-to-Text Translation
Having numerous potential applications and great impact, end-to-end spee...
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04/21/2021
End-to-end Speech Translation via Cross-modal Progressive Training
End-to-end speech translation models have become a new trend in the rese...
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04/16/2021
Serial or Parallel? Plug-able Adapter for multilingual machine translation
Developing a unified multilingual translation model is a key topic in ma...
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03/30/2021
Auto Correcting in the Process of Translation – Multi-task Learning Improves Dialogue Machine Translation
Automatic translation of dialogue texts is a much needed demand in many ...
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12/19/2020
Finding Sparse Structure for Domain Specific Neural Machine Translation
Fine-tuning is a major approach for domain adaptation in Neural Machine ...
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12/18/2020
NeurST: Neural Speech Translation Toolkit
NeurST is an open-source toolkit for neural speech translation developed...
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12/05/2020
Reciprocal Supervised Learning Improves Neural Machine Translation
Despite the recent success on image classification, self-training has on...
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11/02/2020
On the Sentence Embeddings from Pre-trained Language Models
Pre-trained contextual representations like BERT have achieved great suc...
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10/28/2020
The Volctrans Machine Translation System for WMT20
This paper describes our VolcTrans system on WMT20 shared news translati...
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10/27/2020
Volctrans Parallel Corpus Filtering System for WMT 2020
In this paper, we describe our submissions to the WMT20 shared task on p...
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10/23/2020
LightSeq: A High Performance Inference Library for Transformers
Transformer, BERT and their variants have achieved great success in natu...
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10/18/2020
Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
Discourse context has been proven useful when translating documents. It ...
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10/07/2020
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
We investigate the following question for machine translation (MT): can ...
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09/21/2020
SDST: Successive Decoding for Speech-to-text Translation
End-to-end speech-to-text translation (ST), which directly translates th...
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09/21/2020
TED: Triple Supervision Decouples End-to-end Speech-to-text Translation
An end-to-end speech-to-text translation (ST) takes audio in a source la...
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09/21/2020
Generative Imagination Elevates Machine Translation
There are thousands of languages on earth, but visual perception is shar...
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08/18/2020
Glancing Transformer for Non-Autoregressive Neural Machine Translation
Non-autoregressive neural machine translation achieves remarkable infere...
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07/12/2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Auto-regressive sequence generative models trained by Maximum Likelihood...
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07/12/2020
Xiaomingbot: A Multilingual Robot News Reporter
This paper proposes the building of Xiaomingbot, an intelligent, multili...
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04/07/2020
Unsupervised Neural Machine Translation with Indirect Supervision
Neural machine translation (NMT) is ineffective for zero-resource langua...
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11/25/2019
Non-autoregressive Transformer by Position Learning
Non-autoregressive models are promising on various text generation tasks...
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08/15/2019
