Combining multiple methods for the automatic construction of multilingual WordNets

Atserias, Jordi; Climent, Salvador; Farreres, Xavier; Rigau, Germán; Rodríguez, Horacio

doi:10.1075/cilt.189.32ats

Cited by 25 publications

(26 citation statements)

References 6 publications

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“…Other experiments of automatically building wordnets that we are aware of are (Atserias et al, 1997) and (Lee et al, 2000). They combine several methods, using monolingual and bilingual dictionaries for obtaining a Spanish Wordnet and, respectively, a Korean one starting from PWN 1.5.…”

Section: Discussionmentioning

confidence: 99%

Automatic building of Wordnets

Barbu¹,

Mititelu²

2007

Recent Advances in Natural Language Processing IV

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In what follows we will present a two-phase methodology for automatically building a wordnet (that we call target wordnet) strictly aligned with an already available wordnet (source wordnet). In the first phase the synsets for the target language are automatically generated and mapped onto the source language synsets using a series of heuristics. In the second phase the salient relations that can be automatically imported are identified and the procedure for their import is explained. The assumptions behind such methodology will be stated, the heuristics employed will be presented and their success evaluated against a case study (automatically building a Romanian wordnet using PWN).

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Section: Discussionmentioning

confidence: 99%

Automatic building of Wordnets

Barbu¹,

Mititelu²

2007

Recent Advances in Natural Language Processing IV

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“…It has luchtband (tire filled with air) as a synonym (lines [2][3][4][5]. Further, the example shows that band has several semantic relations to other concepts such as a hypernym relation to ring (line 20) and to various instruments that apply to tires, such as </synonyms> <b a s e c o n c e p t >f a l s e </ b as e c o n c e p t > 8 < d e f i n i t i o n >met l u c h t g ev u l d e band v o o r v o e r t u i g e n ; om een w i e l ; </ d e f i n i t i o n > < w n i n t e r n a l r e l a t i o n s > 10 < r e l a t i o n f a c t i v e ="" r e v e r s e d =" f a l s e " r e l a t i o n n a m e ="CO PATIENT INSTRUMENT" t a r g e t p r e v i e w t e x t=" b a n d e l i c h t e r : 1 , bandafnemer : 1 , bandwipper : 1 , b a n d e n l i c h t e r : 1 " 12 n e g a t i v e=" f a l s e " c o o r d i n a t i v e =" f a l s e " d i s j u n c t i v e =" f a l s e " t a r g e t =" d n 21407"> <a u t h o r name=" p i e k " s c o r e ="0 .0 " s t a t u s ="YES" d a t e ="19990301" s o u r c e i d =" d n 38252"/> 14 </ r e l a t i o n > < r e l a t i o n f a c t i v e ="" r e v e r s e d =" f a l s e " r e l a t i o n n a m e ="CO PATIENT INSTRUMENT" 16 t a r g e t p r e v i e w t e x t=" bandrem : 2 " n e g a t i v e=" f a l s e " c o o r d i n a t i v e =" f a l s e " d i s j u n c t i v e =" f a l s e " t a r g e t =" d n 10174"> 18 <a u t h o r name=" Pi ek " s c o r e ="0 .0 " s t a t u s ="" d a t e ="19961217" s o u r c e i d =" d n 38252"/> </ r e l a t i o n > 20…”

Section: Synsetsmentioning

confidence: 99%

“…In this case, wordnets in other languages are aligned with the PWN using the semantic relations in each and translations from a bilingual dictionary [13] and [2]. Although this type of alignment is cross-lingual, we used similar techniques for Cornetto but in a monolingual context and using less semantic relations.…”

Section: Related Workmentioning

confidence: 99%

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Cornetto: A Combinatorial Lexical Semantic Database for Dutch

Vossen

Maks

Segers

et al. 2012

Essential Speech and Language Technology for Dutch

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General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. IntroductionOne of the goals of the STEVIN programme is the realisation of a digital infrastructure that will enforce the position of the Dutch language in the modern information and communication technology. A semantic database for Dutch is a crucial component for this infrastructure for three reasons: (1) it enables the development of semantic web applications on top of knowledge and information expressed in Dutch, (2) it provides people with access to information systems and services through their native Dutch language and (3) it will connect the Dutch language to the semantic P. Vossen ( ) I. Maks H. van der Vliet

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“…EuroWordNet [8,9] aimed to build a multilingual database consisting of wordNets in several European languages (English, Dutch, Italian, and Spanish). Each language-specific wordNet were structured along the same lines as WordNet (Miller et al, 1990), i.e.…”

Section: Related Workmentioning

confidence: 99%

Development of Myanmar-English Bilingual WordNet like Lexicon

Phyue¹

2014

IJITCS

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Abstract-A bilingual concept lexicon is of significance for Information Extraction (IE), Machine Translation (MT), Word Sense Disambiguation (WSD) and the like. Myanmar-English Bilingual WordNet like Lexicon (MEBWL) is developed to fulfill the requirements of Language Acquisition (LA). However, it is reasonably difficult to build such a lexicon is quite challenging in time and cost consuming. To overcome this challenging, this paper integrates linguistic resources, including Myanmar-English dictionary, English-Myanmar dictionary and WordNet to construct a Myanmar-English WordNet like lexicon by acquiring the lexical and conceptual knowledge from WordNet and Myanmar<->English Machine Readable Dictionaries (MRDs). The system includes three phases which include the MRD extraction phase, the link analyzing phase and the WordNet construction phase. The first phase converts the data from multiple resources with different format into a common format and joins and aligns the scattered data for smoothly access and group the data according their part of speech (POS). The link analyzing phase analyzes, classifies and generates candidates of translation links. In the constructing phase, MEBWL is constructed from the verified translation link and WordNet. Beside then, to support the inflected word of Myanmar to English words, morphological processor is designed.

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Combining multiple methods for the automatic construction of multilingual WordNets

Cited by 25 publications

References 6 publications

Automatic building of Wordnets

Automatic building of Wordnets

Cornetto: A Combinatorial Lexical Semantic Database for Dutch

Development of Myanmar-English Bilingual WordNet like Lexicon

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