Boosting N-gram Coverage for Unsegmented Languages Using Multiple Text Segmentation Approach
type: Dataset
description: International audience
issued: 2026-05-06T01:15:25.666984
language: en
modified: 2026-05-06T01:15:25.666988
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-clcomputer-science-cscomputation-and-language-cscl
landing page: WSSANLP

Boosting N-gram Coverage for Unsegmented Languages Using Multiple Text Segmentation Approach
type: Distribution
format: HTML
issued: 2026-05-06T01:15:25.673993
modified: 2026-05-06T01:15:25.662336
access URL: https://hal.science/hal-00959193

test_moissonnage_selune
type: Agent