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Found 19 papers, 4 papers with code
Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations
Multilingual Neural Machine Translation (MNMT) enables one system to translate sentences from multiple source languages to multiple target languages, greatly reducing deployment costs compared with conventional bilingual systems.
Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models
In a WMT-based setting, we see 1. 3 and 0. 4 BLEU points improvement for the zero-shot setting, and when using direct data for training, respectively, while from-English performance improves by 4. 17 and 0. 85 BLEU points.
Deliberate then Generate: Enhanced Prompting Framework for Text Generation
Large language models (LLMs) have shown remarkable success across a wide range of natural language generation tasks, where proper prompt designs make great impacts.
Taming Sparsely Activated Transformer with Stochastic Experts
While most on-going research focuses on improving SAMs models by exploring methods of routing inputs to experts, our analysis reveals that such research might not lead to the solution we expect, i. e., the commonly-used routing methods based on gating mechanisms do not work better than randomly routing inputs to experts.
Improving Multilingual Translation by Representation and Gradient Regularization
At the gradient level, we leverage a small amount of direct data (in thousands of sentence pairs) to regularize model gradients.
Discovering Representation Sprachbund For Multilingual Pre-Training
Then we cluster all the target languages into multiple groups and name each group as a representation sprachbund.
Meta-Learning for Few-Shot NMT Adaptation
We frame the adaptation of NMT systems as a meta-learning problem, where we learn to adapt to new unseen domains based on simulated offline meta-training domain adaptation tasks.
Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation
In this paper, we report our system submissions to all 6 tracks of the WNGT 2019 shared task on Document-Level Generation and Translation.
From Research to Production and Back: Ludicrously Fast Neural Machine Translation
Taking our dominating submissions to the previous edition of the shared task as a starting point, we develop improved teacher-student training via multi-agent dual-learning and noisy backward-forward translation for Transformer-based student models.
Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation
Parallel corpora available for building machine translation (MT) models for dialectal Arabic (DA) are rather limited.
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
In this work, we focus on the multilingual transfer setting where training data in multiple source languages is leveraged to further boost target language performance.
Ranked #10 on
Cross-Lingual NER
on CoNLL Dutch
Zero-Resource Multilingual Model Transfer: Learning What to Share
In this work, we propose a zero-resource multilingual transfer learning model that can utilize training data in multiple source languages, while not requiring target language training data nor cross-lingual supervision.
Achieving Human Parity on Automatic Chinese to English News Translation
Machine translation has made rapid advances in recent years.
Ranked #3 on
Machine Translation
on WMT 2017 English-Chinese
Gender Aware Spoken Language Translation Applied to English-Arabic
One of the challenges of SLT is the translation from a language without gender agreement to a language with gender agreement such as English to Arabic.
Universal Neural Machine Translation for Extremely Low Resource Languages
Our proposed approach utilizes a transfer-learning approach to share lexical and sentence level representations across multiple source languages into one target language.
Synthetic Data for Neural Machine Translation of Spoken-Dialects
Our approach is language independent and can be used to generate data for any variant of the source language such as slang or spoken dialect or even for a different language that is closely related to the source language.
