Georgiana Dinu | DeepAI

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∙ 05/26/2023

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation

Attribute-controlled translation (ACT) is a subtask of machine translati...

0 Gabriele Sarti, et al. ∙

∙ 05/19/2023

Pseudo-Label Training and Model Inertia in Neural Machine Translation

Like many other machine learning applications, neural machine translatio...

0 Benjamin Hsu, et al. ∙

∙ 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...

0 Anna Currey, et al. ∙

∙ 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...

0 Suvodeep Majumder, et al. ∙

∙ 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...

0 Maria Nădejde, et al. ∙

∙ 09/24/2021

Faithful Target Attribute Prediction in Neural Machine Translation

The training data used in NMT is rarely controlled with respect to speci...

0 Xing Niu, et al. ∙

∙ 04/15/2021

Improving Gender Translation Accuracy with Filtered Self-Training

Targeted evaluations have found that machine translation systems often o...

0 Prafulla Kumar Choubey, et al. ∙

∙ 05/01/2020

Evaluating Robustness to Input Perturbations for Neural Machine Translation

Neural Machine Translation (NMT) models are sensitive to small perturbat...

0 Xing Niu, et al. ∙

∙ 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...

0 Georgiana Dinu, et al. ∙

∙ 06/03/2019

Training Neural Machine Translation To Apply Terminology Constraints

This paper proposes a novel method to inject custom terminology into neu...

4 Georgiana Dinu, et al. ∙

∙ 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...

0 Jian Ni, et al. ∙

∙ 03/13/2017

Reinforcement Learning for Transition-Based Mention Detection

This paper describes an application of reinforcement learning to the men...

0 Georgiana Dinu, et al. ∙

∙ 02/24/2016

Toward Mention Detection Robustness with Recurrent Neural Networks

One of the key challenges in natural language processing (NLP) is to yie...

0 Thien Huu Nguyen, et al. ∙

∙ 01/12/2015

From Visual Attributes to Adjectives through Decompositional Distributional Semantics

As automated image analysis progresses, there is increasing interest in ...

0 Angeliki Lazaridou, et al. ∙

∙ 12/20/2014

Improving zero-shot learning by mitigating the hubness problem

The zero-shot paradigm exploits vector-based word representations extrac...

0 Georgiana Dinu, et al. ∙

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