mlsanityData to 14 Oct 2026

Learning Translations via Matrix Completion

arXiv 2406.13195 ↗First posted 19 Jun 2024cs.CLcited by 1

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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.

Key facts. Cited by 1 paper 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

15 of 50 references.

References · 15

  1. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  2. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,918
  3. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  4. 2015Improving Neural Machine Translation Models with Monolingual Datacited by 788
  5. 2013Zero-Shot Learning Through Cross-Modal Transfercited by 237
  6. 2013Exploiting Similarities among Languages for Machine Translationcited by 191
  7. 2015VBPR: Visual Bayesian Personalized Ranking from Implicit Feedbackcited by 151
  8. 2014Improving zero-shot learning by mitigating the hubness problemcited by 54
  9. 2016Pointing the Unknown Wordscited by 43
  10. 2014BilBOWA: Fast Bilingual Distributed Representations without Word Alignmentscited by 16
  11. 2016Cross-lingual Models of Word Embeddings: An Empirical Comparisoncited by 12
  12. 2015Multilingual Relation Extraction using Compositional Universal Schemacited by 11
3 more
  1. 2014An Autoencoder Approach to Learning Bilingual Word Representationscited by 7
  2. 2015Bilingual Distributed Word Representations from Document-Aligned Comparable Datacited by 6
  3. 2014Errata: Distant Supervision for Relation Extraction with Matrix Completioncited by 2

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