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 |
|---|---|
| Title of host publication | International Conference Recent Advances in Natural Language Processing, RANLP |
| Pages | 214-218 |
| Number of pages | 5 |
| 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 |
Other
| Other | International Conference on Recent Advances in Natural Language Processing, RANLP-2009 |
|---|---|
| Country | Bulgaria |
| City | Borovets |
| Period | 09/9/14 → 09/9/16 |
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Keywords
- Hapax
- Low frequency term
- Sampling
- Sub-sentential alignment
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Software
- Electrical and Electronic Engineering
Cite this
Sampling-based multilingual alignment. / Lardilleux, Adrien; Lepage, Yves.
International Conference Recent Advances in Natural Language Processing, RANLP. 2009. p. 214-218.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
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 contribution
AN - SCOPUS:80054830335
SP - 214
EP - 218
BT - International Conference Recent Advances in Natural Language Processing, RANLP
ER -