@inproceedings{cettolo-etal-2005-look,
title = "A Look inside the {ITC}-irst {SMT} System",
author = "Cettolo, M. and
Federico, M. and
Bertholdi, N. and
Cattoni, R. and
Chen, B.",
booktitle = "Proceedings of Machine Translation Summit X: Posters",
month = sep # " 13-15",
year = "2005",
address = "Phuket, Thailand",
url = "https://aclanthology.org/2005.mtsummit-posters.19",
pages = "451--457",
abstract = "This paper presents a look inside the ITC-irst large-vocabulary SMT system developed for the NIST 2005 Chinese-to-English evaluation campaign. Experiments on official NIST test sets provide a thorough overview of the performance of the system, supplying information on how single components contribute to the global performance. The presented system exhibits performance comparable to that of the best systems participating in the NIST 2002-2004 MT evaluation campaigns: on the three test sets, achieved BLEU scores are 26.35{\%}, 26.92{\%} and 28.13{\%}, respectively.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="cettolo-etal-2005-look">
<titleInfo>
<title>A Look inside the ITC-irst SMT System</title>
</titleInfo>
<name type="personal">
<namePart type="given">M</namePart>
<namePart type="family">Cettolo</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">M</namePart>
<namePart type="family">Federico</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">N</namePart>
<namePart type="family">Bertholdi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">R</namePart>
<namePart type="family">Cattoni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">B</namePart>
<namePart type="family">Chen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2005-sep 13-15</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of Machine Translation Summit X: Posters</title>
</titleInfo>
<originInfo>
<place>
<placeTerm type="text">Phuket, Thailand</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper presents a look inside the ITC-irst large-vocabulary SMT system developed for the NIST 2005 Chinese-to-English evaluation campaign. Experiments on official NIST test sets provide a thorough overview of the performance of the system, supplying information on how single components contribute to the global performance. The presented system exhibits performance comparable to that of the best systems participating in the NIST 2002-2004 MT evaluation campaigns: on the three test sets, achieved BLEU scores are 26.35%, 26.92% and 28.13%, respectively.</abstract>
<identifier type="citekey">cettolo-etal-2005-look</identifier>
<location>
<url>https://aclanthology.org/2005.mtsummit-posters.19</url>
</location>
<part>
<date>2005-sep 13-15</date>
<extent unit="page">
<start>451</start>
<end>457</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T A Look inside the ITC-irst SMT System
%A Cettolo, M.
%A Federico, M.
%A Bertholdi, N.
%A Cattoni, R.
%A Chen, B.
%S Proceedings of Machine Translation Summit X: Posters
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F cettolo-etal-2005-look
%X This paper presents a look inside the ITC-irst large-vocabulary SMT system developed for the NIST 2005 Chinese-to-English evaluation campaign. Experiments on official NIST test sets provide a thorough overview of the performance of the system, supplying information on how single components contribute to the global performance. The presented system exhibits performance comparable to that of the best systems participating in the NIST 2002-2004 MT evaluation campaigns: on the three test sets, achieved BLEU scores are 26.35%, 26.92% and 28.13%, respectively.
%U https://aclanthology.org/2005.mtsummit-posters.19
%P 451-457
Markdown (Informal)
[A Look inside the ITC-irst SMT System](https://aclanthology.org/2005.mtsummit-posters.19) (Cettolo et al., MTSummit 2005)
ACL
- M. Cettolo, M. Federico, N. Bertholdi, R. Cattoni, and B. Chen. 2005. A Look inside the ITC-irst SMT System. In Proceedings of Machine Translation Summit X: Posters, pages 451–457, Phuket, Thailand.