Mining Wiki Resources for Multilingual Named Entity Recognition
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Dictionary Users Do Look up Frequent Words. a Logfile Analysis
Erschienen in: Müller-Spitzer, Carolin (Hrsg.): Using Online Dictionaries. Berlin/ Boston: de Gruyter, 2014. (Lexicographica: Series Maior 145), S. 229-249. Alexander Koplenig, Peter Meyer, Carolin Müller-Spitzer Dictionary users do look up frequent words. A logfile analysis Abstract: In this paper, we use the 2012 log files of two German online dictionaries (Digital Dictionary of the German Language1 and the German Version of Wiktionary) and the 100,000 most frequent words in the Mannheim German Reference Corpus from 2009 to answer the question of whether dictionary users really do look up fre- quent words, first asked by de Schryver et al. (2006). By using an approach to the comparison of log files and corpus data which is completely different from that of the aforementioned authors, we provide empirical evidence that indicates - contra - ry to the results of de Schryver et al. and Verlinde/Binon (2010) - that the corpus frequency of a word can indeed be an important factor in determining what online dictionary users look up. Finally, we incorporate word dass Information readily available in Wiktionary into our analysis to improve our results considerably. Keywords: log file, frequency, corpus, headword list, monolingual dictionary, multi- lingual dictionary Alexander Koplenig: Institut für Deutsche Sprache, R 5, 6-13, 68161 Mannheim, +49-(0)621-1581- 435, [email protected] Peter Meyer: Institut für Deutsche Sprache, R 5, 6-13, 68161 Mannheim, +49-(0)621-1581-427, [email protected] Carolin Müller-Spitzer: Institut für Deutsche Sprache, R 5, 6-13, 68161 Mannheim, +49-(0)621-1581- 429, [email protected] Introduction We would like to Start this chapter by asking one of the most fundamental questions for any general lexicographical endeavour to describe the words of one (or more) language(s): which words should be included in a dictionary? At first glance, the answer seems rather simple (especially when the primary objective is to describe a language as completely as possible): it would be best to include every word in the dictionary. -
Etytree: a Graphical and Interactive Etymology Dictionary Based on Wiktionary
Etytree: A Graphical and Interactive Etymology Dictionary Based on Wiktionary Ester Pantaleo Vito Walter Anelli Wikimedia Foundation grantee Politecnico di Bari Italy Italy [email protected] [email protected] Tommaso Di Noia Gilles Sérasset Politecnico di Bari Univ. Grenoble Alpes, CNRS Italy Grenoble INP, LIG, F-38000 Grenoble, France [email protected] [email protected] ABSTRACT a new method1 that parses Etymology, Derived terms, De- We present etytree (from etymology + family tree): a scendants sections, the namespace for Reconstructed Terms, new on-line multilingual tool to extract and visualize et- and the etymtree template in Wiktionary. ymological relationships between words from the English With etytree, a RDF (Resource Description Framework) Wiktionary. A first version of etytree is available at http: lexical database of etymological relationships collecting all //tools.wmflabs.org/etytree/. the extracted relationships and lexical data attached to lex- With etytree users can search a word and interactively emes has also been released. The database consists of triples explore etymologically related words (ancestors, descendants, or data entities composed of subject-predicate-object where cognates) in many languages using a graphical interface. a possible statement can be (for example) a triple with a lex- The data is synchronised with the English Wiktionary dump eme as subject, a lexeme as object, and\derivesFrom"or\et- at every new release, and can be queried via SPARQL from a ymologicallyEquivalentTo" as predicate. The RDF database Virtuoso endpoint. has been exposed via a SPARQL endpoint and can be queried Etytree is the first graphical etymology dictionary, which at http://etytree-virtuoso.wmflabs.org/sparql. -
User Contributions to Online Dictionaries Andrea Abel and Christian M
The dynamics outside the paper: User Contributions to Online Dictionaries Andrea Abel and Christian M. Meyer Electronic lexicography in the 21st century (eLex): Thinking outside the paper, Tallinn, Estonia, October 17–19, 2013. 18.10.2013 | European Academy of Bozen/Bolzano and Technische Universität Darmstadt | Andrea Abel and Christian M. Meyer | 1 Introduction Online dictionaries rely increasingly on their users and leverage methods for facilitating user contributions at basically any step of the lexicographic process. 18.10.2013 | European Academy of Bozen/Bolzano and Technische Universität Darmstadt | Andrea Abel and Christian M. Meyer | 2 Previous work . Mostly focused on specific type/dimension of user contribution . e.g., Carr (1997), Storrer (1998, 2010), Køhler Simonsen (2005), Fuertes-Olivera (2009), Melchior (2012), Lew (2011, 2013) . Ambiguous, partly overlapping terms: www.wordle.net/show/wrdl/7124863/User_contributions (02.10.2013) www.wordle.net/show/wrdl/7124863/User_contributions http:// 18.10.2013 | European Academy of Bozen/Bolzano and Technische Universität Darmstadt | Andrea Abel and Christian M. Meyer | 3 Research goals and contribution How to effectively plan the user contributions for new and established dictionaries? . Comprehensive and systematic classification is still missing . Mann (2010): analysis of 88 online dictionaries . User contributions roughly categorized as direct / indirect contributions and exchange with other dictionary users . Little detail given, since outside the scope of the analysis . We use this as a basis for our work We propose a novel classification of the different types of user contributions based on many practical examples 18.10.2013 | European Academy of Bozen/Bolzano and Technische Universität Darmstadt | Andrea Abel and Christian M. -
Wiktionary Matcher
Wiktionary Matcher Jan Portisch1;2[0000−0001−5420−0663], Michael Hladik2[0000−0002−2204−3138], and Heiko Paulheim1[0000−0003−4386−8195] 1 Data and Web Science Group, University of Mannheim, Germany fjan, [email protected] 2 SAP SE Product Engineering Financial Services, Walldorf, Germany fjan.portisch, [email protected] Abstract. In this paper, we introduce Wiktionary Matcher, an ontology matching tool that exploits Wiktionary as external background knowl- edge source. Wiktionary is a large lexical knowledge resource that is collaboratively built online. Multiple current language versions of Wik- tionary are merged and used for monolingual ontology matching by ex- ploiting synonymy relations and for multilingual matching by exploiting the translations given in the resource. We show that Wiktionary can be used as external background knowledge source for the task of ontology matching with reasonable matching and runtime performance.3 Keywords: Ontology Matching · Ontology Alignment · External Re- sources · Background Knowledge · Wiktionary 1 Presentation of the System 1.1 State, Purpose, General Statement The Wiktionary Matcher is an element-level, label-based matcher which uses an online lexical resource, namely Wiktionary. The latter is "[a] collaborative project run by the Wikimedia Foundation to produce a free and complete dic- tionary in every language"4. The dictionary is organized similarly to Wikipedia: Everybody can contribute to the project and the content is reviewed in a com- munity process. Compared to WordNet [4], Wiktionary is significantly larger and also available in other languages than English. This matcher uses DBnary [15], an RDF version of Wiktionary that is publicly available5. The DBnary data set makes use of an extended LEMON model [11] to describe the data. -
Extracting an Etymological Database from Wiktionary Benoît Sagot
Extracting an Etymological Database from Wiktionary Benoît Sagot To cite this version: Benoît Sagot. Extracting an Etymological Database from Wiktionary. Electronic Lexicography in the 21st century (eLex 2017), Sep 2017, Leiden, Netherlands. pp.716-728. hal-01592061 HAL Id: hal-01592061 https://hal.inria.fr/hal-01592061 Submitted on 22 Sep 2017 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. Extracting an Etymological Database from Wiktionary Benoît Sagot Inria 2 rue Simone Iff, 75012 Paris, France E-mail: [email protected] Abstract Electronic lexical resources almost never contain etymological information. The availability of such information, if properly formalised, could open up the possibility of developing automatic tools targeted towards historical and comparative linguistics, as well as significantly improving the automatic processing of ancient languages. We describe here the process we implemented for extracting etymological data from the etymological notices found in Wiktionary. We have produced a multilingual database of nearly one million lexemes and a database of more than half a million etymological relations between lexemes. Keywords: Lexical resource development; etymology; Wiktionary 1. Introduction Electronic lexical resources used in the fields of natural language processing and com- putational linguistics are almost exclusively synchronic resources; they mostly include information about inflectional, derivational, syntactic, semantic or even pragmatic prop- erties of their entries. -
Wiktionary Matcher Results for OAEI 2020
Wiktionary Matcher Results for OAEI 2020 Jan Portisch1;2[0000−0001−5420−0663] and Heiko Paulheim1[0000−0003−4386−8195] 1 Data and Web Science Group, University of Mannheim, Germany fjan, [email protected] 2 SAP SE Product Engineering Financial Services, Walldorf, Germany [email protected] Abstract. This paper presents the results of the Wiktionary Matcher in the Ontology Alignment Evaluation Initiative (OAEI) 2020. Wiktionary Matcher is an ontology matching tool that exploits Wiktionary as exter- nal background knowledge source. Wiktionary is a large lexical knowl- edge resource that is collaboratively built online. Multiple current lan- guage versions of Wiktionary are merged and used for monolingual on- tology matching by exploiting synonymy relations and for multilingual matching by exploiting the translations given in the resource. This is the second OAEI participation of the matching system. Wiktionary Matcher has been improved and is the best performing system on the knowledge graph track this year.3 Keywords: Ontology Matching · Ontology Alignment · External Re- sources · Background Knowledge · Wiktionary 1 Presentation of the System 1.1 State, Purpose, General Statement The Wiktionary Matcher is an element-level, label-based matcher which uses an online lexical resource, namely Wiktionary. The latter is "[a] collaborative project run by the Wikimedia Foundation to produce a free and complete dic- tionary in every language"4. The dictionary is organized similarly to Wikipedia: Everybody can contribute to the project and the content is reviewed in a com- munity process. Compared to WordNet [2], Wiktionary is significantly larger and also available in other languages than English. This matcher uses DBnary [13], an RDF version of Wiktionary that is publicly available5. -