Papers by Ali Saad-Eldin
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport (2022.emnlp-main)
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| Challenge: | Existing literature on bilingual lexicon induction fails in low-resource scenarios . a language dataset is considered low- resource based on its own embedding space . |
| Approach: | They propose a graph-matching method that improves bilingual lexicon induction performance across 40 language pairs using optimal transport. |
| Outcome: | The proposed method is especially strong with low amounts of supervision. |
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces (2021.findings-emnlp)
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Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey Priebe, Philipp Koehn
| Challenge: | Existing work in bilingual lexicon induction views word embeddings as vectors in Euclidean space. |
| Approach: | They propose to use word embeddings as nodes in a weighted graph to examine a node’s graph neighborhood without assuming a linear transform. |
| Outcome: | The proposed approaches are compared under different data conditions and show that they complement each other when combined. |