Multilingual Word Embeddings

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (57 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
  18 Apr 2020 3 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  We find that alignments created from embeddings are superior for four and comparable for two language pairs compared to those produced by traditional statistical aligners, even with abundant parallel data; e.
• Unsupervised Multilingual Word Embeddings
  27 Aug 2018 3 repositories listed
  Multilingual Word Embeddings (MWEs) represent words from multiple languages in a single distributional vector space.
• Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  27 Aug 2018 2 repositories listed
  Our approach decouples learning the transformation from the source language to the target language into (a) learning rotations for language-specific embeddings to align them to a common space, and (b) learning a…
• ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
  11 Apr 2017 2 repositories listed
  This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet.
• OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
  15 Nov 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Instead of pretraining multilingual language models from scratch, a more efficient method is to adapt existing pretrained language models (PLMs) to new languages via vocabulary extension and continued pretraining.
• Language Embeddings Sometimes Contain Typological Generalizations
  19 Jan 2023 1 repository listed
  To what extent can neural network models learn generalizations about language structure, and how do we find out what they have learned?
• Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
  30 Oct 2022 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  This crucial step is done via 1) creating a word similarity dataset, comprising positive word pairs (i.
• Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings
  1 May 2022 1 repository listed
  Cognates and borrowings carry different aspects of etymological evolution.
• Improving Word Translation via Two-Stage Contrastive Learning
  15 Mar 2022 1 repository listed Syntology ran 5 of 6 samples · 1 unverified · 4 pointer-only (licence)
  At Stage C1, we propose to refine standard cross-lingual linear maps between static word embeddings (WEs) via a contrastive learning objective; we also show how to integrate it into the self-learning procedure for even…
• Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
  16 Feb 2022 1 repository listed
  Discriminative self-supervised learning allows training models on any random group of internet images, and possibly recover salient information that helps differentiate between the images.
• Improving Word Translation via Two-Stage Contrastive Learning
  16 Nov 2021 1 repository listed
  As Stage C1, we propose to refine standard cross-lingual linear maps between static word embeddings (WEs) via a contrastive learning objective; we also show how to integrate it into the self-learning procedure for even…
• Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
  21 Jul 2021 1 repository listed
  In this paper, we advance the current state-of-the-art method for debiasing monolingual word embeddings so as to generalize well in a multilingual setting.
• CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis
  8 Jun 2020 1 repository listed
  The growing popularity and applications of sentiment analysis of social media posts has naturally led to sentiment analysis of posts written in multiple languages, a practice known as code-switching.
• Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
  8 Oct 2019 1 repository listed
  In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages.
• Cross-lingual Lexical Sememe Prediction
  1 Oct 2018 1 repository listed
  We propose a novel framework to model correlations between sememes and multi-lingual words in low-dimensional semantic space for sememe prediction.
• Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task
  1 May 2018 1 repository listed
• Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
  1 May 2018 1 repository listed
• ALL-IN-1: Short Text Classification with One Model for All Languages
  26 Oct 2017 1 repository listed
  We present ALL-IN-1, a simple model for multilingual text classification that does not require any parallel data.
• Massively Multilingual Word Embeddings
  5 Feb 2016 1 repository listed
  We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.