Sampling-based multilingual alignment

Adrien Lardilleux; Yves Lepage

Sampling-based multilingual alignment

Adrien Lardilleux^*, Yves Lepage

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

31 Citations (Scopus)

Abstract

We present a sub-sentential alignment method that extracts high quality multi-word alignments from sentence-aligned multilingual parallel corpora. Unlike other methods, it exploits low frequency terms, which makes it highly scalable. As it relies on alingual concepts, it can process any number of languages at once. Experiments have shown that it is competitive with state-of-the-art methods.

Original language	English
Pages (from-to)	214-218
Number of pages	5
Journal	International Conference Recent Advances in Natural Language Processing, RANLP
Publication status	Published - 2009
Externally published	Yes
Event	International Conference on Recent Advances in Natural Language Processing, RANLP-2009 - Borovets, Bulgaria Duration: 2009 Sep 14 → 2009 Sep 16

Keywords

Hapax
Low frequency term
Sampling
Sub-sentential alignment

ASJC Scopus subject areas

Software
Computer Science Applications
Artificial Intelligence
Electrical and Electronic Engineering

Cite this

@article{c12c5b4e51cc44b6a8cb3e40ed498766,

title = "Sampling-based multilingual alignment",

abstract = "We present a sub-sentential alignment method that extracts high quality multi-word alignments from sentence-aligned multilingual parallel corpora. Unlike other methods, it exploits low frequency terms, which makes it highly scalable. As it relies on alingual concepts, it can process any number of languages at once. Experiments have shown that it is competitive with state-of-the-art methods.",

keywords = "Hapax, Low frequency term, Sampling, Sub-sentential alignment",

author = "Adrien Lardilleux and Yves Lepage",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; International Conference on Recent Advances in Natural Language Processing, RANLP-2009 ; Conference date: 14-09-2009 Through 16-09-2009",

year = "2009",

language = "English",

pages = "214--218",

journal = "International Conference Recent Advances in Natural Language Processing, RANLP",

issn = "1313-8502",

publisher = "Association for Computational Linguistics (ACL)",

}

TY - JOUR

T1 - Sampling-based multilingual alignment

AU - Lardilleux, Adrien

AU - Lepage, Yves

PY - 2009

Y1 - 2009

N2 - We present a sub-sentential alignment method that extracts high quality multi-word alignments from sentence-aligned multilingual parallel corpora. Unlike other methods, it exploits low frequency terms, which makes it highly scalable. As it relies on alingual concepts, it can process any number of languages at once. Experiments have shown that it is competitive with state-of-the-art methods.

AB - We present a sub-sentential alignment method that extracts high quality multi-word alignments from sentence-aligned multilingual parallel corpora. Unlike other methods, it exploits low frequency terms, which makes it highly scalable. As it relies on alingual concepts, it can process any number of languages at once. Experiments have shown that it is competitive with state-of-the-art methods.

KW - Hapax

KW - Low frequency term

KW - Sampling

KW - Sub-sentential alignment

UR - http://www.scopus.com/inward/record.url?scp=80054830335&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054830335&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:80054830335

SP - 214

EP - 218

JO - International Conference Recent Advances in Natural Language Processing, RANLP

JF - International Conference Recent Advances in Natural Language Processing, RANLP

SN - 1313-8502

T2 - International Conference on Recent Advances in Natural Language Processing, RANLP-2009

Y2 - 14 September 2009 through 16 September 2009

ER -

Sampling-based multilingual alignment

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this