# Learning Translations via Matrix Completion

arXiv: https://arxiv.org/abs/2406.13195 · HTML: https://mlsanity.com/paper/2406.13195/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 15 of its 50 references that are in the map.
- First posted on arXiv 19 Jun 2024.

## Builds on (most cited first, 15 of 15)

- [Distributed Representations of Words and Phrases and their Compositionality](https://mlsanity.com/paper/1310.4546/) (2013)
- [Neural Machine Translation of Rare Words with Subword Units](https://mlsanity.com/paper/1508.07909/) (2015)
- [Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation](https://mlsanity.com/paper/1609.08144/) (2016)
- [Improving Neural Machine Translation Models with Monolingual Data](https://mlsanity.com/paper/1511.06709/) (2015)
- [Zero-Shot Learning Through Cross-Modal Transfer](https://mlsanity.com/paper/1301.3666/) (2013)
- [Exploiting Similarities among Languages for Machine Translation](https://mlsanity.com/paper/1309.4168/) (2013)
- [VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback](https://mlsanity.com/paper/1510.01784/) (2015)
- [Improving zero-shot learning by mitigating the hubness problem](https://mlsanity.com/paper/1412.6568/) (2014)
- [Pointing the Unknown Words](https://mlsanity.com/paper/1603.08148/) (2016)
- [BilBOWA: Fast Bilingual Distributed Representations without Word Alignments](https://mlsanity.com/paper/1410.2455/) (2014)
- [Cross-lingual Models of Word Embeddings: An Empirical Comparison](https://mlsanity.com/paper/1604.00425/) (2016)
- [Multilingual Relation Extraction using Compositional Universal Schema](https://mlsanity.com/paper/1511.06396/) (2015)
- [An Autoencoder Approach to Learning Bilingual Word Representations](https://mlsanity.com/paper/1402.1454/) (2014)
- [Bilingual Distributed Word Representations from Document-Aligned Comparable Data](https://mlsanity.com/paper/1509.07308/) (2015)
- [Errata: Distant Supervision for Relation Extraction with Matrix Completion](https://mlsanity.com/paper/1411.4455/) (2014)

## Built on by (most cited first, 1 of 1)

- [Mitigating Translationese in Low-resource Languages: The Storyboard Approach](https://mlsanity.com/paper/2407.10152/) (2024)

## Abstract (arXiv)

Bilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora. We model this task as a matrix completion problem, and present an effective and extendable framework for completing the matrix. This method harnesses diverse bilingual and monolingual signals, each of which may be incomplete or noisy. Our model achieves state-of-the-art performance for both high and low resource languages.
