@inproceedings{maks-etal-2008-standardising,
title = "Standardising Bilingual Lexical Resources According to the Lexicon Markup Framework",
author = "Maks, Isa and
Tiberius, Carole and
van Veenendaal, Remco",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/439_paper.pdf",
abstract = "The Dutch HLT agency for language and speech technology (known as TST-centrale) at the Institute for Dutch Lexicology is responsible for the maintenance, distribution and accessibility of (Dutch) digital language resources. In this paper we present a project which aims to standardise the format of a set of bilingual lexicons in order to make them available to potential users, to facilitate the exchange of data (among the resources and with other (monolingual) resources) and to enable reuse of these lexicons for NLP applications like machine translation and multilingual information retrieval. We pay special attention to the methods and tools we used and to some of the problematic issues we encountered during the conversion process. As these problems are mainly caused by the fact that the standard LMF model fails in representing the detailed semantic and pragmatic distinctions made in our bilingual data, we propose some modifications to the standard. In general, we think that a standard for lexicons should provide a model for bilingual lexicons that is able to represent all detailed and fine-grained translation information which is generally found in these types of lexicons.",
}
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<abstract>The Dutch HLT agency for language and speech technology (known as TST-centrale) at the Institute for Dutch Lexicology is responsible for the maintenance, distribution and accessibility of (Dutch) digital language resources. In this paper we present a project which aims to standardise the format of a set of bilingual lexicons in order to make them available to potential users, to facilitate the exchange of data (among the resources and with other (monolingual) resources) and to enable reuse of these lexicons for NLP applications like machine translation and multilingual information retrieval. We pay special attention to the methods and tools we used and to some of the problematic issues we encountered during the conversion process. As these problems are mainly caused by the fact that the standard LMF model fails in representing the detailed semantic and pragmatic distinctions made in our bilingual data, we propose some modifications to the standard. In general, we think that a standard for lexicons should provide a model for bilingual lexicons that is able to represent all detailed and fine-grained translation information which is generally found in these types of lexicons.</abstract>
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%0 Conference Proceedings
%T Standardising Bilingual Lexical Resources According to the Lexicon Markup Framework
%A Maks, Isa
%A Tiberius, Carole
%A van Veenendaal, Remco
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F maks-etal-2008-standardising
%X The Dutch HLT agency for language and speech technology (known as TST-centrale) at the Institute for Dutch Lexicology is responsible for the maintenance, distribution and accessibility of (Dutch) digital language resources. In this paper we present a project which aims to standardise the format of a set of bilingual lexicons in order to make them available to potential users, to facilitate the exchange of data (among the resources and with other (monolingual) resources) and to enable reuse of these lexicons for NLP applications like machine translation and multilingual information retrieval. We pay special attention to the methods and tools we used and to some of the problematic issues we encountered during the conversion process. As these problems are mainly caused by the fact that the standard LMF model fails in representing the detailed semantic and pragmatic distinctions made in our bilingual data, we propose some modifications to the standard. In general, we think that a standard for lexicons should provide a model for bilingual lexicons that is able to represent all detailed and fine-grained translation information which is generally found in these types of lexicons.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/439_paper.pdf
Markdown (Informal)
[Standardising Bilingual Lexical Resources According to the Lexicon Markup Framework](http://www.lrec-conf.org/proceedings/lrec2008/pdf/439_paper.pdf) (Maks et al., LREC 2008)
ACL