research
∙
07/03/2023
Improving Language Plasticity via Pretraining with Active Forgetting
Pretrained language models (PLMs) are today the primary model for natura...
share
research
∙
01/17/2023
Learning a Formality-Aware Japanese Sentence Representation
While the way intermediate representations are generated in encoder-deco...
research
∙
12/20/2022
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
Prior work has shown that it is possible to expand pretrained Masked Lan...
research
∙
10/25/2022
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
Bilingual lexicons form a critical component of various natural language...
research
∙
10/11/2022
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces
The ability to extract high-quality translation dictionaries from monoli...
research
∙
09/26/2021
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
Much recent work in bilingual lexicon induction (BLI) views word embeddi...
research
∙
06/30/2021
What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
Whereas existing literature on unsupervised machine translation (MT) foc...
research
∙
04/18/2021
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry
A popular natural language processing task decades ago, word alignment h...
research
∙
04/12/2020