Kelly Marchisio

According to our database1, Kelly Marchisio authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Improving Language Plasticity via Pretraining with Active Forgetting.
CoRR, 2023

Learning a Formality-Aware Japanese Sentence Representation.
CoRR, 2023

Improving Language Plasticity via Pretraining with Active Forgetting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings.
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021
What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
CoRR, 2021

Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry.
CoRR, 2021

An Alignment-Based Approach to Semi-Supervised Bilingual Lexicon Induction with Small Parallel Corpora.
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
When Does Unsupervised Machine Translation Work?
Proceedings of the Fifth Conference on Machine Translation, 2020

2019
Johns Hopkins University Submission for WMT News Translation Task.
Proceedings of the Fourth Conference on Machine Translation, 2019

Controlling the Reading Level of Machine Translation Output.
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019


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