Cross-Lingual Bitext Mining

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (6 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.

• Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
  26 Dec 2018 13 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 4 pointer-only (licence)
  We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts.
• Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
  3 Nov 2018 9 repositories listed
  Machine translation is highly sensitive to the size and quality of the training data, which has led to an increasing interest in collecting and filtering large parallel corpora.
• Improving Neural Machine Translation Models with Monolingual Data
  20 Nov 2015 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified
  Neural Machine Translation (NMT) has obtained state-of-the art performance for several language pairs, while only using parallel data for training.
• Majority Voting with Bidirectional Pre-translation For Bitext Retrieval
  10 Mar 2021 1 repository listed
  Obtaining high-quality parallel corpora is of paramount importance for training NMT systems.
• Parallel Sentence Mining by Constrained Decoding
  1 Jul 2020 1 repository listed
  We present a novel method to extract parallel sentences from two monolingual corpora, using neural machine translation.

Syntology lines on 2 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.