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05/24/2023
How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification
Text simplification rewrites text to be more readable for a specific aud...
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05/23/2023
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems
AI systems have shown impressive performance at answering questions by r...
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01/18/2023
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection
Neural sequence generation models are known to "hallucinate", by produci...
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09/07/2022
Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?
Global teams frequently consist of language-based subgroups who put toge...
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05/13/2022
Controlling Translation Formality Using Pre-trained Multilingual Language Models
This paper describes the University of Maryland's submission to the Spec...
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03/17/2022
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models
We propose a framework for training non-autoregressive sequence-to-seque...
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03/15/2022
Can Synthetic Translations Improve Bitext Quality?
Synthetic translations have been used for a wide range of NLP tasks prim...
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10/20/2021
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
While the field of style transfer (ST) has been growing rapidly, it has ...
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09/10/2021
Rule-based Morphological Inflection Improves Neural Terminology Translation
Current approaches to incorporating terminology constraints in machine t...
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06/09/2021
A Review of Human Evaluation for Style Transfer
This paper reviews and summarizes human evaluation practices described i...
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05/31/2021
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
While it has been shown that Neural Machine Translation (NMT) is highly ...
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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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11/13/2020
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints
We introduce an Edit-Based Transformer with Repositioning (EDITOR), whic...
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10/19/2020
Incorporating Terminology Constraints in Automatic Post-Editing
Users of machine translation (MT) may want to ensure the use of specific...
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10/07/2020
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank
Detecting fine-grained differences in content conveyed in different lang...
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10/07/2020
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
While Iterative Back-Translation and Dual Learning effectively incorpora...
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11/20/2019
Controlling Neural Machine Translation Formality with Synthetic Supervision
This work aims to produce translations that convey source language conte...
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11/03/2019
Controlling Text Complexity in Neural Machine Translation
This work introduces a machine translation task where the output is aime...
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05/14/2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation
We introduce a curriculum learning approach to adapt generic neural mach...
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04/04/2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation
Despite some empirical success at correcting exposure bias in machine tr...
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11/02/2018
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation
We aim to better exploit the limited amounts of parallel text available ...
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11/02/2018
An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Machine translation systems based on deep neural networks are expensive ...
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06/12/2018
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Generating natural language requires conveying content in an appropriate...
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05/29/2018
Bi-Directional Neural Machine Translation with Synthetic Parallel Data
Despite impressive progress in high-resource settings, Neural Machine Tr...
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03/30/2018
Robust Cross-lingual Hypernymy Detection using Dependency Context
Cross-lingual Hypernymy Detection involves determining if a word in one ...
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03/29/2018
Identifying Semantic Divergences in Parallel Text without Annotations
Recognizing that even correct translations are not always semantically e...
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02/16/2018
