Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory

16636

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Abstract

AbstractThe development of standard models for describing general lexical resources has led to the emergence of numerous lexical datasets of various languages in the Semantic Web. However, equivalent models covering the linguistic domain of morphology do not exist. As a result, there are hardly any language resources of morphemic data available in RDF to date. This paper presents the creation of the Hebrew Morpheme Inventory from a manually compiled tabular dataset comprising around 52.000 entries. It is an ongoing effort of representing the lexemes, word-forms and morphologigal patterns together with their underlying relations based on the newly created Multilingual Morpheme Ontology (MMoOn). It will be shown how segmented Hebrew language data can be granularly described in a Linked Data format, thus, serving as an exemplary case for creating morpheme inventories of any inflectional language with MMoOn. The resulting dataset is described a) according to the structure of the underlying data format, b) with respect to the Hebrew language characteristic of building word-forms directly from roots, c) by exemplifying how inflectional information is realized and d) with regard to its enrichment with external links to sense resources.

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Creating Linked Data Morphological Language Resources with MMoOn The Hebrew Morpheme Inventory Bettina Klimek1,2,a, Natanael Arndt1,2,a, Sebastian Krause2,b, Timotheus Arndt3,c 1Agile Knowledge Engineering and Semantic Web 2Faculty of Mathematics and Computer Science 3Research Centre Judaism, Faculty of Theology Leipzig University, Germany a{klimek, arndt}@informatik.uni-leipzig.de bsebastian.krause@studserv.uni-leipzig.de ctarndt@uni-leipzig.de Abstract The development of standard models for describing general lexical resources has led to the emergence of numerous lexical datasets of various languages in the Semantic Web. However, there are no models that describe the domain of morphology in a similar manner. As a result, there are hardly any language resources of morphemic data available in RDF to date. This paper presents the creation of the Hebrew Morpheme Inventory from a manually compiled tabular dataset comprising around 52.000 entries. It is an ongoing effort of representing the lexemes, word-forms and morphologigal patterns together with their underlying relations based on the newly created Multilingual Morpheme Ontology (MMoOn). It will be shown how segmented Hebrew language data can be granularly described in a Linked Data format, thus, serving as an exemplary case for creating morpheme inventories of any inflectional language with MMoOn. The resulting dataset is described a) according to the structure of the underlying data format, b) with respect to the Hebrew language characteristic of building word-forms directly from roots, c) by exemplifying how inflectional information is realized and d) with regard to its enrichment with external links to sense resources. Keywords: morpheme ontology, Hebrew, language data, morphology, linguistic linked open data, MMoOn 1. Introduction Since the development of the Linguistic Linked Open Data Cloud1 in 2010 more than one hundred datasets have been created. They represent linguistic data such as lexicographic and phonological resources, terminolog- ical data, but also corpora and etymological language re- sources (Chiarcos et al., 2012). However, they lack the morphological layer. In addition, a Linked Data model dedicated to the domain of morphology has not been cre- ated so far. Nonetheless, there are Linked Data vocabu- laries which describe morphological features to some ex- tent, e.g. GOLD2 (Farrar and Langendoen, 2010), lemon3 (McCrae et al., 2011), and Lexinfo4 (Cimiano et al., 2011), even though these have not yet been used to create morpho- logical data5. In order to fill the gap of missing morpho- logical resources published as Linked Data, we created the Multilingual Morpheme Ontology (MMoOn) which is de- signed to describe morphemic data of any language at the word and sub-word level. In this paper we introduce an ex- emplary dataset, the Hebrew Morpheme Inventory, which is built with the MMoOn Core model, that shall encourage the construction of further MMoOn morpheme inventories for different languages. The data is freely available under the MMoOn project website6. Throughout the paper we are using QNames7 for better 1http://linguistic-lod.org/llod-cloud 2http://linguistics-ontology.org/gold/2010 3http://lemon-model.net 4http://www.lexinfo.net 5http://lov.okfn.org/dataset/lov/terms?q=Morpheme 6https://github.com/aksw/mmoon 7https://www.w3.org/TR/2009/REC-xml-names-20091208/ readability of RDF terms. The prefixes are defined as in Figure 4. The paper proceeds with a short overview of related work in Section 2., followed by a description of the MMoOn Core model for describing morphemic …

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AbstractThe development of standard models for describing general lexical resources has led to the emergence of numerous lexical datasets of various languages in the Semantic Web. However, equivalent models covering the linguistic domain of morphology do not exist. As a result, there are hardly any language resources of morphemic data available in RDF to date. This paper presents the creation of the Hebrew Morpheme Inventory from a manually compiled tabular dataset comprising around 52.000 entries. It is an ongoing effort of representing the lexemes, word-forms and morphologigal patterns together with their underlying relations based on the newly created Multilingual Morpheme Ontology (MMoOn). It will be shown how segmented Hebrew language data can be granularly described in a Linked Data format, thus, serving as an exemplary case for creating morpheme inventories of any inflectional language with MMoOn. The resulting dataset is described a) according to the structure of the underlying data format, b) with respect to the Hebrew language characteristic of building word-forms directly from roots, c) by exemplifying how inflectional information is realized and d) with regard to its enrichment with external links to sense resources.

Publication Details

Paper ID:
16636
Year:
2016
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan