@inproceedings{arcan-etal-2016-iris,
title = "{IRIS}: {E}nglish-{I}rish Machine Translation System",
author = "Arcan, Mihael and
Lane, Caoilfhionn and
Droighne{\'a}in, Eoin {\'O} and
Buitelaar, Paul",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1090",
pages = "566--572",
abstract = "We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa. Since Irish is considered an under-resourced language with a limited amount of machine-readable text, building a machine translation system that produces reasonable translations is rather challenging. As translation is a difficult task, current research in SMT focuses on obtaining statistics either from a large amount of parallel, monolingual or other multilingual resources. Nevertheless, we collected available English-Irish data and developed an SMT system aimed at supporting human translators and enabling cross-lingual language technology tasks.",
}
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%0 Conference Proceedings
%T IRIS: English-Irish Machine Translation System
%A Arcan, Mihael
%A Lane, Caoilfhionn
%A Droighneáin, Eoin Ó
%A Buitelaar, Paul
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F arcan-etal-2016-iris
%X We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa. Since Irish is considered an under-resourced language with a limited amount of machine-readable text, building a machine translation system that produces reasonable translations is rather challenging. As translation is a difficult task, current research in SMT focuses on obtaining statistics either from a large amount of parallel, monolingual or other multilingual resources. Nevertheless, we collected available English-Irish data and developed an SMT system aimed at supporting human translators and enabling cross-lingual language technology tasks.
%U https://aclanthology.org/L16-1090
%P 566-572
Markdown (Informal)
[IRIS: English-Irish Machine Translation System](https://aclanthology.org/L16-1090) (Arcan et al., LREC 2016)
ACL
- Mihael Arcan, Caoilfhionn Lane, Eoin Ó Droighneáin, and Paul Buitelaar. 2016. IRIS: English-Irish Machine Translation System. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 566–572, Portorož, Slovenia. European Language Resources Association (ELRA).