research
∙
05/26/2023
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
Attribute-controlled translation (ACT) is a subtask of machine translati...
share
research
∙
05/19/2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Like many other machine learning applications, neural machine translatio...
research
∙
11/02/2022
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
As generic machine translation (MT) quality has improved, the need for t...
research
∙
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...
research
∙
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...
research
∙
09/24/2021
Faithful Target Attribute Prediction in Neural Machine Translation
The training data used in NMT is rarely controlled with respect to speci...
research
∙
04/15/2021
Improving Gender Translation Accuracy with Filtered Self-Training
Targeted evaluations have found that machine translation systems often o...
research
∙
05/01/2020
Evaluating Robustness to Input Perturbations for Neural Machine Translation
Neural Machine Translation (NMT) models are sensitive to small perturbat...
research
∙
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...
research
∙
06/03/2019
Training Neural Machine Translation To Apply Terminology Constraints
This paper proposes a novel method to inject custom terminology into neu...
research
∙
07/08/2017
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
The state-of-the-art named entity recognition (NER) systems are supervis...
research
∙
03/13/2017
Reinforcement Learning for Transition-Based Mention Detection
This paper describes an application of reinforcement learning to the men...
research
∙
02/24/2016
Toward Mention Detection Robustness with Recurrent Neural Networks
One of the key challenges in natural language processing (NLP) is to yie...
research
∙
01/12/2015
From Visual Attributes to Adjectives through Decompositional Distributional Semantics
As automated image analysis progresses, there is increasing interest in ...
research
∙
12/20/2014