A Fully Unsupervised Approach for Mining Parallel Data from Comparable Corpora
type: Dataset
description: International audience
issued: 2026-05-06T01:13:58.462236
language: en
modified: 2026-05-06T01:13:58.462240
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-clcomputer-science-cscomputation-and-language-cscl
landing page: EAMT

A Fully Unsupervised Approach for Mining Parallel Data from Comparable Corpora
type: Distribution
format: HTML
issued: 2026-05-06T01:13:58.464198
modified: 2026-05-06T01:13:58.457286
access URL: https://hal.science/hal-00959179

test_moissonnage_selune
type: Agent