Standardizing Wordnets in the ISO Standard LMF: Wordnet-LMF for Germanet
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Standardisation Action Plan for Clarin
Standardisation Action Plan for Clarin State: Proposal to CLARIN community Nuria Bel, Jonas Beskow, Lou Boves, Gerhard Budin, Nicoletta Calzolari, Khalid Choukri, Erhard Hinrichs, Steven Krauwer, Lothar Lemnitzer, Stelios Piperidis, Adam Przepiorkowski, Laurent Romary, Florian Schiel, Helmut Schmidt, Hans Uszkoreit, Peter Wittenburg August 2009 Summary This document describes a proposal for a Standardisation Action Plan (SAP) for the Clarin initiative in close synchronization with other relevant initiatives such as Flarenet, ELRA, ISO and TEI. While Flarenet is oriented towards a broader scope since it is also addressing standards that are typically used in industry, CLARIN wants to be more focussed in its statements to the research domain. Due to the overlap it is agreed that the Flarenet and CLARIN documents on standards need to be closely synchronized. This note covers standards that are generic (XML, UNICODE) as well as standards that are domain specific where naturally the LRT community has much more influence. This Standardization Action Plan wants to give an orientation for all practical work in CLARIN to achieve a harmonized domain of language resources and technology stepwise and therefore its core message is to overcome fragmentation. To meet these goals it wants to keep its message as simple as possible. A web-site will be established that will contain more information about examples, guidelines, explanations, tools, converters and training events such as summer schools. The organization of the document is as follows: • Chapter 1: Introduction to the topic. • Chapter 2: Recommended standards that CLARIN should endorse page 4 • Chapter 3: Standards that are emerging and relevant for CLARIN page 8 • Chapter 4: General guidelines that need to be followed page 12 • Chapter 5: Reference to community practices page 14 • Chapter 6: References This document tries to be short and will give comments, recommendations and discuss open issues for each of the standards. -
Proceedings of the Workshop on Multilingual Language Resources and Interoperability, Pages 1–8, Sydney, July 2006
COLING •ACL 2006 MLRI’06 Multilingual Language Resources and Interoperability Proceedings of the Workshop Chairs: Andreas Witt, Gilles Sérasset, Susan Armstrong, Jim Breen, Ulrich Heid and Felix Sasaki 23 July 2006 Sydney, Australia Production and Manufacturing by BPA Digital 11 Evans St Burwood VIC 3125 AUSTRALIA c 2006 The Association for Computational Linguistics Order copies of this and other ACL proceedings from: Association for Computational Linguistics (ACL) 209 N. Eighth Street Stroudsburg, PA 18360 USA Tel: +1-570-476-8006 Fax: +1-570-476-0860 [email protected] ISBN 1-932432-82-5 ii Table of Contents Preface .....................................................................................v Organizers . vii Workshop Program . ix Lexical Markup Framework (LMF) for NLP Multilingual Resources Gil Francopoulo, Nuria Bel, Monte George, Nicoletta Calzolari, Monica Monachini, Mandy Pet and Claudia Soria . 1 The Role of Lexical Resources in CJK Natural Language Processing Jack Halpern . 9 Towards Agent-based Cross-Lingual Interoperability of Distributed Lexical Resources Claudia Soria, Maurizio Tesconi, Andrea Marchetti, Francesca Bertagna, Monica Monachini, Chu-Ren Huang and Nicoletta Calzolari. .17 The LexALP Information System: Term Bank and Corpus for Multilingual Legal Terminology Consolidated Verena Lyding, Elena Chiocchetti, Gilles Sérasset and Francis Brunet-Manquat . 25 The Development of a Multilingual Collocation Dictionary Sylviane Cardey, Rosita Chan and Peter Greenfield. .32 Multilingual Collocation Extraction: Issues and Solutions Violeta Seretan and Eric Wehrli . 40 Structural Properties of Lexical Systems: Monolingual and Multilingual Perspectives Alain Polguère . 50 A Fast and Accurate Method for Detecting English-Japanese Parallel Texts Ken’ichi Fukushima, Kenjiro Taura and Takashi Chikayama . 60 Evaluation of the Bible as a Resource for Cross-Language Information Retrieval Peter A. -
Standardization Work Isotiger Transcription of Spoken Language CQLF: Corpus Query Lingua Franca
Recent Initiatives towards New Standards for Language Resources Gottfried Herzog1, Ulrich Heid2, Thorsten Trippel3, Piotr Ba´nski4, Laurent Romary5, Thomas Schmidt4, Andreas Witt4, Kerstin Eckart6 1DIN Deutsches Institut fur¨ Normung e. V., Berlin, 2Universit¨at Hildesheim, 3Universit¨at Tubingen,¨ 4Institut fur¨ Deutsche Sprache, Mannheim, 5Inria, 6Universit¨at Stuttgart E-mail: [email protected] Standardization Work Transcription of spoken language • Who? A representation format to compare, interchange and combine { Experts from industry, academia and administrations orthography-based transcriptions of spoken language. { Experts are nominated { based on expertise and interest The standard is developed in cooperation with TEI proposals in the field. [Schmidt 2011] { ISO committee TC 37/SC 4 and national mirror committees, Based on e.g. for Germany: Normenausschuss NA-105-00-06 AA • State of the art tools and formats for creating, editing, Sprachressourcen publishing and querying transcribed data DIN { Deutsches Institut f¨ur Normung e.V. • Widely used transcription systems • How? { Stepwise procedures: Encoded components Example on handout Proposals { working drafts { (draft) international standards • Metadata: based on TEI header { Consensus-based: drafting { commenting { ballot • Macrostructure: timeline, single and grouped utterances, { National standards organizations provide infrastructure elements outside utterances (e.g. <pause> and <incident>) • Microstructure: Excerpt of the list of standards and standard proposals by ISO -
Exploring and Visualizing Wordnet Data with Germanet Rover
Exploring and Visualizing Wordnet Data with GermaNet Rover Marie Hinrichs, Richard Lawrence, Erhard Hinrichs University of Tübingen, Germany www.clarin-d.net GERMANET AND ROVER 1 www.clarin-d.net GermaNet: a Wordnet for German A wordnet groups synonyms into synsets and represents relations between synsets. The hypernym relation forms a hierarChiCal graph structure. 2 www.clarin-d.net Rover: a web appliCation for GermaNet Rover displays the data in GermaNet in an interaCtive interfaCe designed for researChers. It offers: • advanced searChing for synsets • visualizing the hypernym graph • CalCulating synsets’ semantiC relatedness via graph-based measures 3 www.clarin-d.net SYNSET SEARCH 4 www.clarin-d.net Synset SearCh Overview Try it: https://weblicht.sfs.uni-tuebingen.de/rover/search 5 www.clarin-d.net SearCh Options Advanced searChes for • search by regular synsets: expression and edit distance • restrict results by grammatical category, semantic class, and orthographic variant 6 www.clarin-d.net Results List A summary of each synset in the search results includes: • words in the synset • its semantic class • associated Wiktionary definitions • summary of conceptual relations to other synsets 7 www.clarin-d.net Conceptual Relations Selecting a synset displays details about its conceptual relations: • a network diagram of the synset’s hypernyms • related synsets, displayed as navigation buttons 8 www.clarin-d.net LexiCal Units and Relations More details about the words in the seleCted synset: • lexically-related words, displayed as navigation buttons • Interlingual index reCords (pointers to Princeton WordNet) • examples and assoCiated frame types • deComposition of Compound nouns 9 www.clarin-d.net SEMANTIC RELATEDNESS 10 www.clarin-d.net SemantiC Relatedness Overview Try it: https://weblicht.sfs.uni-tuebingen.de/rover/semrel 11 www.clarin-d.net SemantiC Relatedness Measures Rover supports six graph-based measures of semantic relatedness between pairs of synsets: 1. -
Mise En Page 1
Catalogue général Janvier 2019 27-37 St George’s Road – London SW19 4EU — United Kingdom www.iste-editions.fr – www.openscience.fr – www.iste.co.uk – www.istegroup.com Table des matières Table of contents Organisation éditoriale, SCIENCES .................................................................................. 4 Biologie, médecine et santé • Biology, Medecine and Health ........................................ 7 Bioingénierie médicale • Biomedical Engineering ................................................................ 8 Biologie • Biology ................................................................................................................. 11 Ingénierie de la santé et société • Health Engineering and Society ..................................... 12 Chimie • Chemistry ............................................................................................................ 17 Agriculture, science des aliments et nutrition ....................................................................... 18 Agriculture, Food Science and Nutrition Chimie • Chemistry ............................................................................................................... 20 Écologie et environnement • Ecology and Environment ................................................ 23 Écologie • Ecological Sciences ............................................................................................ 24 Environnement • Environmental Sciences ........................................................................... 28 -
A Method for Reusing and Re-Engineering Non-Ontological Resources for Building Ontologies
Departamento de Inteligencia Artificial Facultad de Informatica´ PhD Thesis A Method for Reusing and Re-engineering Non-ontological Resources for Building Ontologies Author : Msc. Boris Marcelo Villazon´ Terrazas Advisor : Prof. Dr. Asuncion´ Gomez´ Perez´ 2011 ii Tribunal nombrado por el Sr. Rector Magfco. de la Universidad Politecnica´ de Madrid, el d´ıa...............de.............................de 20.... Presidente : Vocal : Vocal : Vocal : Secretario : Suplente : Suplente : Realizado el acto de defensa y lectura de la Tesis el d´ıa..........de......................de 20...... en la E.T.S.I. /Facultad...................................................... Calificacion´ .................................................................................. EL PRESIDENTE LOS VOCALES EL SECRETARIO iii iv Abstract Current well-known methodologies for building ontologies do not consider the reuse and possible subsequent re-engineering of existing knowledge resources. The ontologization of non-ontological resources has led to the design of several specific methods, techniques and tools. These are mainly specific to a particular resource type, or to a particular resource implementation. Thus, everytime ontol- ogy engineers are confronted with the task of re-engineering a new resource into an ontology, they develop ad-hoc solutions for transforming such resource into a single ontology. Within the context of the NeOn project, we propose a novel methodology for building ontology networks: the NeOn Methodology, a methodology based on sce- narios. One -
Calculating Semantic Relatedness with Germanet
Organismus, Lebewesen ‘organism, being’ ... ... Haustier ... ‘pet’ Baum Katze Hund ‘tree’ ‘cat’ ‘dog’ Calculating Semantic Relatedness with GermaNet Verena Henrich, Düsseldorf, 19. Februar 2015 Semantic Relatedness Measures – Overview • Path-based measures - Leacock and Chodorow (1998) - Wu and Palmer (1994) - Hirst and St-Onge (1998) - Path • Information-content-based measures - Resnik (1995) - Jiang and Conrath (1997) - Lin (1998) • Gloss-based measures: several variants of Lesk (1986) - Glosses from GermaNet and/or Wiktionary - Lexical fields from GermaNet and/or Wiktionary Semantic Relatedness Measures – Terminology • Relatedness/similarity is GNROOT GermaNet’s root node calculated between the two semantic concepts A (synset nodes) s1 and s2 B C D Haustier LCS(s1, s2) = lowest common subsumer ‘pet’ of s1 and s2 synset s1 Katze Hund synset s2 ‘cat’ ‘dog’ Semantic Relatedness Measures – Terminology GNROOT A B C depth(s2) = 6 length of the shortest path D from synset s2 to GNROOT LCS Haustier ‘pet’ s1 s2 Katze Hund ‘cat’ ‘dog’ Semantic Relatedness Measures – Terminology GNROOT A B C D length(s1, s2) = 2 LCS shortest path Haustier between s1 and s2 ‘pet’ s1 s2 Katze Hund ‘cat’ ‘dog’ Path-based Relatedness Measures GNROOT A B Similarity by Wu and Palmer (1994): 2 · depth(LCS(s1, s2)) C sim (s1, s2) = wup depth(s1) + depth(s2) D LCS sim (cat, dog) = 0.83 Haustier wup ‘pet’ where • depth(LCS) = 5 s1 s2 • depth(cat) = 6 Katze Hund • depth(dog) = 6 ‘cat’ ‘dog’ Path-based Relatedness Measures GNROOT A B LCS simwup(cat, tree) = 0.5 Organismus, -
The Germanet Editing Tool Verena Henrich, Erhard Hinrichs University of Tübingen, Department of Linguistics Wilhelmstr
GernEdiT – The GermaNet Editing Tool Verena Henrich, Erhard Hinrichs University of Tübingen, Department of Linguistics Wilhelmstr. 19, 72074 Tübingen, Germany E-mail: [email protected], [email protected] Abstract This paper introduces GernEdiT (short for: GermaNet Editing Tool), a new graphical user interface for the lexicographers and developers of GermaNet, the German version of the Princeton WordNet. GermaNet is a lexical-semantic net that relates German nouns, verbs, and adjectives. Traditionally, lexicographic work for extending the coverage of GermaNet utilized the Princeton WordNet development environment of lexicographer files. Due to a complex data format and no opportunity of automatic consistency checks, this process was very error prone and time consuming. The GermaNet Editing Tool GernEdiT was developed to overcome these shortcomings. The main purposes of the GernEdiT tool are, besides supporting lexicographers to access, modify, and extend GermaNet data in an easy and adaptive way, as follows: Replace the standard editing tools by a more user-friendly tool, use a relational database as data storage, support export formats in the form of XML, and facilitate internal consistency and correctness of the linguistic resource. All these core functionalities of GernEdiT along with the main aspects of the underlying lexical resource GermaNet and its current database format are presented in this paper. 1 Introduction data such as appropriate linking of lexical units with The traditional development of GermaNet1 (Kunze and synsets, connectedness of the synset graph, and Lemnitzer, 2002) was based on lexicographer files. automatic closure among relations and their inverse These were originally developed for the English counterparts. -
LMF for a Selection of African Languages Chantal Enguehard, Mathieu Mangeot
LMF for a selection of African Languages Chantal Enguehard, Mathieu Mangeot To cite this version: Chantal Enguehard, Mathieu Mangeot. LMF for a selection of African Languages. Francopoulo, Gil. LMF: Lexical Markup Framework, theory and practice, Hermès science, pp.8, 2013. hal-00959228 HAL Id: hal-00959228 https://hal.archives-ouvertes.fr/hal-00959228 Submitted on 1 Apr 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Chapter 71 LMF for a selection of African Languages Chantal Enguehard LINA, 2 rue de la Houssiniere, BP 92208, 44322 Nantes Cedex 03, France Mathieu Mangeot GETALP-LIG, 41 rue des Mathématiques, BP 53 F-38041 GRENOBLE CEDEX 9 7.1. Introduction Electronic resources are scarce regarding less-resourced languages, so it is wise to take published dictionaries and convert them into a standard format usable by automated tools for natural language processing. We introduce the notion of less- resourced languages and then discuss the methodology of conversion that we have defned and implemented. The fourth part presents examples of conversion from the initial published format to the LMF format. The last part describes some diffculties encountered when representing certain information into LMF format. -
Porting a Crowd-Sourced German Lexical Semantics Resource to Ontolex-Lemon
Proceedings of eLex 2019 Porting a Crowd-Sourced German Lexical Semantics Resource to Ontolex-Lemon Thierry Declerck 1,2 , Melanie Siegel 3 1 German Research Center for Artificial Intelligence, Stuhlsatzenhausweg 3, 66123 Saarbrücken, Germany 2 Austrian Centre for Digital Humanities, Sonnenfelsgasse 19, 1010 Vienna, Austria 3 Darmstadt University of Applied Science, Max-Planck-Str. 2, 64807 Dieburg, Germany E-mail: [email protected], [email protected] Abstract In this paper we present our work consisting of mapping the recently created open source German lexical semantics resource “Open-de-WordNet” (OdeNet) into the OntoLex-Lemon format. OdeNet was originally created in order to be integrated in the Open Multilingual Wordnet initiative. One motivation for porting OdeNet to OntoLex-Lemon is to publish in the Linguistic Linked Open Data cloud this new WordNet-compliant resource for German. At the same time we can with the help of OntoLex-Lemon link the lemmas of OdeNet to full lexical descriptions and so extend the linguistic coverage of this new WordNet resource, as we did for French, Italian and Spanish wordnets included in the Open Multilingual Wordnet collection. As a side effect, the porting of OdeNet to OntoLex-Lemon helped in discovering some issues in the original data. Keywords: Open Multilingual Wordnet; OntoLex-Lemon; OdeNet; Lexical Semantics 1. Introduction Wordnets are well-established lexical resources with a wide range of applications in various Natural Language Processing (NLP) fields, like Machine Translation, Information Retrieval, Query Expansion, Document Classification, etc. (Morato et al., 2004). For more than twenty years they have been elaborately set up and maintained by hand, especially the original Princeton WordNet of English (PWN) (Fellbaum, 1998). -
An Experiment in Lexical Information Extraction
LEXIE - an Experiment in Lexical Information Extraction John J. Camilleri Michael Rosner Dept. Intelligent Computer Systems Dept. Intelligent Computer Systems University of Malta University of Malta MSD2080 Msida, Malta MSD2080 Msida, Malta john @johnjcamilleri.com mike.rosner @um.edu.mt Abstract to the general approach adopted there. However, the This document investigates the possibility of ex- two main differences we see between their approach tracting lexical information automatically from and ours are that (a) Boguraev’s work was oriented the pages of a printed dictionary of Maltese. An rather heavily towards the GPSG grammatical frame- experiment was carried out on a small sample work and (b) they were able to access the original of dictionary entries using hand-crafted rules to source tapes of the dictionary. The input they used parse the entries. Although the results obtained was therefore faithful to the orginal. were quite promising, a major problem turned out to errors introduced by OCR and the incon- In our case we had to rely upon OCR input as de- sistent style adopted for writing dictionary en- scribed further in section 4. The inherent errors caused tries. certain problems. One of the aims of this work is to establish a viable method for extracting lexical entries for lesser-studied languages lacking the usual battery of language re- Keywords sources in machine readable form. Most languages of the world fall into this category. The availability of a lexicon extraction, lexical information, lexicon, semitic paper dictionary, is, however, fairly widespread, even for exotic languages so that the methods being pro- posed could provide a robust alternative to dictionary 1 Introduction extraction for a relatively large number of languages. -
PANACEA Project Grant Agreement No.: 248064
SEVENTH FRAMEWORK PROGRAMME THEME 3 Information and communication Technologies PANACEA Project Grant Agreement no.: 248064 Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies D5.1 Parallel technology tools and resources Dissemination Level: Public Delivery Date: July 16th 2010 Status – Version: Final v1.0 Author(s) and Affiliation: Pavel Pecina (DCU), Antonio Toral (DCU), Gregor Thurmair (LinguaTec), Andy Way (DCU) Parallel technology tools and resources Table of contents Table of contents ........................................................................................................................... 1 1 Introduction ........................................................................................................................... 4 2 Terminology .......................................................................................................................... 4 2.1 Definitions ..................................................................................................................... 4 2.2 Acronyms ....................................................................................................................... 5 2.3 Related documents ......................................................................................................... 6 3 Task description .................................................................................................................... 6 3.1 Alignment .....................................................................................................................