Browse State-of-the-Art › Cross-Lingual Word Embeddings
Cross-Lingual Word Embeddings
32 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 32 papers with code (108 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.
-
11 Oct 2017 20 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)We finally describe experiments on the English-Esperanto low-resource language pair, on which there only exists a limited amount of parallel data, to show the potential impact of our method in fully unsupervised machine…
-
6 Aug 2021 2 repositories listedExperiments on both synthetic and real-world datasets show the framework to be highly effective at detection in both multilingual data and in languages where training samples are scarce.
-
28 Dec 2019 2 repositories listedRecent advances in cross-lingual word embeddings have primarily relied on mapping-based methods, which project pretrained word embeddings from different languages into a shared space through a linear transformation.
-
29 Sep 2019 2 repositories listedThe task of semantic parsing is highly useful for dialogue and question answering systems.
-
12 Sep 2019 2 repositories listedWe study the composition and quality of the test sets for five diverse languages from this dataset, with concerning findings: (1) a quarter of the data consists of proper nouns, which can be hardly indicative of BDI…
-
16 May 2018 2 repositories listedRecent work has managed to learn cross-lingual word embeddings without parallel data by mapping monolingual embeddings to a shared space through adversarial training.
-
15 Feb 2024 1 repository listed Syntology ran 7 of 10 samples · 3 unverifiedRecent work has shown that, while large language models (LLMs) demonstrate strong word translation or bilingual lexicon induction (BLI) capabilities in few-shot setups, they still cannot match the performance of…
-
21 Oct 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverifiedBilingual Lexicon Induction (BLI) is a core task in multilingual NLP that still, to a large extent, relies on calculating cross-lingual word representations.
-
9 May 2023 1 repository listedTransferring information retrieval (IR) models from a high-resource language (typically English) to other languages in a zero-shot fashion has become a widely adopted approach.
-
30 Oct 2022 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedThis crucial step is done via 1) creating a word similarity dataset, comprising positive word pairs (i.
-
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…
-
16 Dec 2021 1 repository listedWe, then, evaluate the impact of our cognate detection mechanism on neural machine translation (NMT), as a downstream task.
-
16 Nov 2021 1 repository listedAs 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…
-
1 Jun 2021 1 repository listedIt is therefore recommended that this strategy be adopted as a standard for CLWE methods.
-
16 Apr 2021 1 repository listedOur captioning results on Arabic are slightly better than that of its supervised model.
-
11 Apr 2021 1 repository listedIt is therefore recommended that this strategy be adopted as a standard for CLWE methods.
-
11 Mar 2021 1 repository listedWe operationalize our framework by first proposing a novel sense-aware cross entropy loss to model word senses explicitly.
-
21 Jan 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Therefore, in this work we present a systematic empirical study focused on the suitability of the state-of-the-art multilingual encoders for cross-lingual document and sentence retrieval tasks across a large number of…
-
27 Oct 2020 1 repository listedWe propose a new approach for learning contextualised cross-lingual word embeddings based on a small parallel corpus (e.
-
17 May 2020 1 repository listedOur experiments confirm that the obtained bilingual dictionaries outperform previously-available ones, and that word embeddings from a low-resource language can benefit from resource-rich closely-related languages when…
-
1 May 2020 1 repository listedOur results show that our method that leverages subword information outperforms the model without subword information, both in intrinsic and extrinsic evaluations of the learned embeddings.
-
21 Feb 2020 1 repository listedIn this paper, we propose a self-supervised method to refine the alignment of unsupervised bilingual word embeddings.
-
3 Jan 2020 1 repository listedBreaking down the structure of long texts into semantically coherent segments makes the texts more readable and supports downstream applications like summarization and retrieval.
-
10 Dec 2019 1 repository listedLearning word embeddings using distributional information is a task that has been studied by many researchers, and a lot of studies are reported in the literature.
-
8 Nov 2019 1 repository listed Syntology ran 1 of 17 samples · 16 unverifiedCross-lingual word embeddings transfer knowledge between languages: models trained on high-resource languages can predict in low-resource languages.
-
8 Nov 2019 1 repository listedMost of recent work in cross-lingual word embeddings is severely Anglocentric.
-
5 Jun 2019 1 repository listedCross-lingual word embeddings encode the meaning of words from different languages into a shared low-dimensional space.
-
4 Jun 2019 1 repository listedCross-lingual word embeddings (CLWE) underlie many multilingual natural language processing systems, often through orthogonal transformations of pre-trained monolingual embeddings.
-
1 Feb 2019 1 repository listedIn this work, we make the first step towards a comprehensive evaluation of cross-lingual word embeddings.
-
27 Aug 2018 1 repository listedCross-lingual word embeddings are becoming increasingly important in multilingual NLP.
Syntology lines on 7 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections