@inproceedings{espla-gomis-etal-2014-comparing,
title = "Comparing two acquisition systems for automatically building an {E}nglish{---}{C}roatian parallel corpus from multilingual websites",
author = "Espl{\`a}-Gomis, Miquel and
Klubi{\v{c}}ka, Filip and
Ljube{\v{s}}i{\'c}, Nikola and
Ortiz-Rojas, Sergio and
Papavassiliou, Vassilis and
Prokopidis, Prokopis",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/529_Paper.pdf",
pages = "1252--1258",
abstract = "In this paper we compare two tools for automatically harvesting bitexts from multilingual websites: bitextor and ILSP-FC. We used both tools for crawling 21 multilingual websites from the tourism domain to build a domain-specific English―Croatian parallel corpus. Different settings were tried for both tools and 10,662 unique document pairs were obtained. A sample of about 10{\%} of them was manually examined and the success rate was computed on the collection of pairs of documents detected by each setting. We compare the performance of the settings and the amount of different corpora detected by each setting. In addition, we describe the resource obtained, both by the settings and through the human evaluation, which has been released as a high-quality parallel corpus.",
}
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<abstract>In this paper we compare two tools for automatically harvesting bitexts from multilingual websites: bitextor and ILSP-FC. We used both tools for crawling 21 multilingual websites from the tourism domain to build a domain-specific English―Croatian parallel corpus. Different settings were tried for both tools and 10,662 unique document pairs were obtained. A sample of about 10% of them was manually examined and the success rate was computed on the collection of pairs of documents detected by each setting. We compare the performance of the settings and the amount of different corpora detected by each setting. In addition, we describe the resource obtained, both by the settings and through the human evaluation, which has been released as a high-quality parallel corpus.</abstract>
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%0 Conference Proceedings
%T Comparing two acquisition systems for automatically building an English—Croatian parallel corpus from multilingual websites
%A Esplà-Gomis, Miquel
%A Klubička, Filip
%A Ljubešić, Nikola
%A Ortiz-Rojas, Sergio
%A Papavassiliou, Vassilis
%A Prokopidis, Prokopis
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F espla-gomis-etal-2014-comparing
%X In this paper we compare two tools for automatically harvesting bitexts from multilingual websites: bitextor and ILSP-FC. We used both tools for crawling 21 multilingual websites from the tourism domain to build a domain-specific English―Croatian parallel corpus. Different settings were tried for both tools and 10,662 unique document pairs were obtained. A sample of about 10% of them was manually examined and the success rate was computed on the collection of pairs of documents detected by each setting. We compare the performance of the settings and the amount of different corpora detected by each setting. In addition, we describe the resource obtained, both by the settings and through the human evaluation, which has been released as a high-quality parallel corpus.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/529_Paper.pdf
%P 1252-1258
Markdown (Informal)
[Comparing two acquisition systems for automatically building an English—Croatian parallel corpus from multilingual websites](http://www.lrec-conf.org/proceedings/lrec2014/pdf/529_Paper.pdf) (Esplà-Gomis et al., LREC 2014)
ACL