Semi-automatic Endogenous Enrichment of Collaboratively Constructed Lexical Resources: Piggybacking onto Wiktionary

Sajous, Franck; Navarro, Emmanuel; Gaume, Bruno; Prévot, Laurent; Chudy, Yannick

doi:10.1007/978-3-642-14770-8_37

Cited by 8 publications

(14 citation statements)

References 12 publications

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“…Among the well known examples, we mention the Wiktionary [13]. Any user can contribute to the enrichment phase through a previously authentication.…”

Section: Enrichment Approaches Of Electronic Dictionariesmentioning

confidence: 99%

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Collaborative Enrichment of Electronic Dictionaries Standardized-LMF

Khemakhem

Gargouri

Hamadou

2013

Natural Language Processing and Information Systems

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Abstract.The collaborative enrichment is a new tendency in constructing resources, notably electronic dictionaries. This approach is considered very efficient for resources weakly structured. In this paper, we deal with applying the collaborative enrichment for electronic dictionaries standardized according to LMF-ISO 24613. The models of such dictionaries are complex and finely structured. The purpose of the paper is, on the one hand, to expose the challenges related to this framework and, in the second hand, to propose practical solutions based on an appropriate approach. This approach ensures the properties of completeness, consistency and nonredundancy of lexical data. In order to illustrate the proposed approach, we describe the experimentation carried out on a standardized Arabic dictionary. Keywords: Collaborative enrichment, LMF normalized dictionaries, coherence, non-redundancy, completeness. IntrodutionElectronic dictionaries contribute enormously to the learning, the dissemination, the maintenance and the evolution of natural languages. However, the construction of such dictionaries is a difficult task given the richness of natural languages. It is very expensive in time and number of people typing dealing with enormous content of lexical resources. Moreover, it is not limited in time because of the continuous need of enrichment. In order to tackle the problems related to the enrichment of electronic dictionaries, the tendency was the resort to a collaborative approach. Therefore, several works was proposed such as [3] [4] [12] and [14]. The well known application of the collaborative approach for filling and updating large resources is the Wiktionary [13] that currently covers several languages. However, the mentioned works deal with a superficially structure (or model) of resources. Indeed, their syntactic models are very light and don't link synonyms through the concerned senses. Moreover, relation between senses and syntactic knowledge are not covered. Thus, the update of such resources is available for all kinds of users who are not necessarily experts in the lexicography or in the linguistic domains.

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“…Among the well known examples, we mention the Wiktionary [13]. Any user can contribute to the enrichment phase through a previously authentication.…”

Section: Enrichment Approaches Of Electronic Dictionariesmentioning

confidence: 99%

“…Therefore, several works was proposed such as [3] [4] [12] and [14]. The well known application of the collaborative approach for filling and updating large resources is the Wiktionary [13] that currently covers several languages. However, the mentioned works deal with a superficially structure (or model) of resources.…”

Section: Introdutionmentioning

confidence: 99%

Collaborative Enrichment of Electronic Dictionaries Standardized-LMF

Khemakhem

Gargouri

Hamadou

2013

Natural Language Processing and Information Systems

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“…Si la version allemande de Wiktionary semble être celle qui bénéficie de l'encodage le plus rigoureux et le plus systématique 14 , la version française, moins aisément exploitable, se distingue par une plus grande nomenclature, ainsi que la présence quasi-systématique d'informations flexionnelles et phonémiques. Nous avons mis à disposition WiktionaryX 15 , une version structurée au format XML de ce dictionnaire pour le français et l'anglais (Sajous et al, 2010). …”

Section: Critiquesunclassified

“…Ce format lâche rend ardue et constamment inachevée l'écriture d'un parseur pour extraire de manière automatique et exhaustive les informations du Wiktionnaire (Navarro et al, 2009;Sajous et al, 2010Sajous et al, , 2011 Les figures 1 et 2 montrent des extraits de l'article « affluent », tel qu'on peut le consulter dans le Wiktionnaire, des articles de deux de ses formes fléchies, ainsi que le wikicode correspondant à chaque extrait. Le tableau qui recense les formes fléchies de l'adjectif et les transcriptions phonémiques correspondantes (en haut à droite de la figure 1a) n'est pas explicitement présent dans le wikicode, mais généré par le patron {{fr-accord-cons|a.fly.Ã|t}} (figure 1b).…”

Section: Extraction D'informationunclassified

Ne jetons pas le Wiktionnaire avec l'oripeau du Web ! Etudes et réalisations fondées sur le dictionnaire collaboratif

Sajous

Hathout

Calderone

2014

SHS Web of Conferences

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“…There is no documentation available regarding scope or intended granularity. A very fine grained extraction was conducted using WISIGOTH [17], but unfortunately there are no sources available and the project is unmaintained since 2010. Two newer approaches are the lexvo.org service and the algorithm presented in [9].…”

Section: Related Workmentioning

confidence: 99%

Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud

Hellmann

Brekle

Auer

2013

Semantic Technology

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Abstract. We present a declarative approach implemented in a comprehensive open-source framework based on DBpedia to extract lexicalsemantic resources -an ontology about language use -from Wiktionary. The data currently includes language, part of speech, senses, definitions, synonyms, translations and taxonomies (hyponyms, hyperonyms, synonyms, antonyms) for each lexical word. Main focus is on flexibility to the loose schema and configurability towards differing language-editions of Wiktionary. This is achieved by a declarative mediator/wrapper approach. The goal is to allow the addition of languages just by configuration without the need of programming, thus enabling the swift and resource-conserving adaption of wrappers by domain experts. The extracted data is as fine granular as the source data in Wiktionary and additionally follows the lemon model. It enables use cases like disambiguation or machine translation. By offering a linked data service, we hope to extend DBpedia's central role in the LOD infrastructure to the world of Open Linguistics.

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Semi-automatic Endogenous Enrichment of Collaboratively Constructed Lexical Resources: Piggybacking onto Wiktionary

Cited by 8 publications

References 12 publications

Collaborative Enrichment of Electronic Dictionaries Standardized-LMF

Collaborative Enrichment of Electronic Dictionaries Standardized-LMF

Ne jetons pas le Wiktionnaire avec l'oripeau du Web ! Etudes et réalisations fondées sur le dictionnaire collaboratif

Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud

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