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05/24/2023
Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing
Most research about natural language generation (NLG) relies on evaluati...
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05/23/2023
One-stop Training of Multiple Capacity Models for Multilingual Machine Translation
Training models with varying capacities can be advantageous for deployin...
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05/23/2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Gender bias is a significant issue in machine translation, leading to on...
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05/18/2023
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus
Several recent papers claim human parity at sentence-level Machine Trans...
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05/18/2023
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
While multilingual neural machine translation has achieved great success...
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05/11/2023
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Large language models (LLMs) demonstrate impressive multilingual capabil...
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05/11/2023
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
Large language models (LLMs) have shown surprisingly good performance in...
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04/06/2023
On the Pareto Front of Multilingual Neural Machine Translation
In this work, we study how the generalization performance of a given dir...
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03/01/2023
Are More Layers Beneficial to Graph Transformers?
Despite that going deep has proven successful in many neural architectur...
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01/17/2023
HanoiT: Enhancing Context-aware Translation via Selective Context
Context-aware neural machine translation aims to use the document-level ...
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12/20/2022
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator
Pre-trained models have achieved remarkable success in natural language ...
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12/15/2022
TRIP: Triangular Document-level Pre-training for Multilingual Language Models
Despite the current success of multilingual pre-training, most prior wor...
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10/26/2022
A Bilingual Parallel Corpus with Discourse Annotations
Machine translation (MT) has almost achieved human parity at sentence-le...
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10/13/2022
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation
Named entity recognition (NER) suffers from the scarcity of annotated tr...
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09/28/2022
Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation
Multilingual machine translation has been proven an effective strategy t...
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07/29/2022
GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation
Transformer structure, stacked by a sequence of encoder and decoder netw...
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07/11/2022
HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation
Multilingual neural machine translation (MNMT) trained in multiple langu...
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07/11/2022
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation
Most translation tasks among languages belong to the zero-resource trans...
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03/01/2022
DeepNet: Scaling Transformers to 1,000 Layers
In this paper, we propose a simple yet effective method to stabilize ext...
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02/23/2022
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Prompt-based tuning has been proven effective for pretrained language mo...
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01/06/2022
Phrase-level Adversarial Example Generation for Neural Machine Translation
While end-to-end neural machine translation (NMT) has achieved impressiv...
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01/05/2022
SMDT: Selective Memory-Augmented Neural Document Translation
Existing document-level neural machine translation (NMT) models have suf...
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11/03/2021
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task
This report describes Microsoft's machine translation systems for the WM...
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10/16/2021
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
This paper demonstrates that multilingual pretraining, a proper fine-tun...
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06/25/2021
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders
While pretrained encoders have achieved success in various natural langu...
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05/27/2021
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?
While non-autoregressive (NAR) models are showing great promise for mach...
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04/18/2021
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
Previous works mainly focus on improving cross-lingual transfer for NLU ...
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12/31/2020
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
Multilingual machine translation enables a single model to translate bet...
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10/20/2020
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
Electrocardiogram (ECG) is a widely used reliable, non-invasive approach...
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06/15/2020
Document Classification for COVID-19 Literature
The global pandemic has made it more important than ever to quickly and ...
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06/04/2020
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training
This paper presents a Multitask Multilingual Multimodal Pre-trained mode...
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04/29/2020
Syntax-aware Data Augmentation for Neural Machine Translation
Data augmentation is an effective performance enhancement in neural mach...
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03/03/2020
XGPT: Cross-modal Generative Pre-Training for Image Captioning
While many BERT-based cross-modal pre-trained models produce excellent r...
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11/11/2019
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface
Brain computer interface (BCI) has been popular as a key approach to mon...
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04/19/2019
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method
Millions of people with severe speech disorders around the world may reg...
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11/01/2018
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy
Cross-lingual word embeddings aim to capture common linguistic regularit...
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03/15/2018
