Relevant bibliographies by topics / Lexikon

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Lexikon'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Lexikon"

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Geimer, Peter. "Vorhang, Lampe, Sessel, Uhr." ZMK Zeitschrift für Medien- und Kulturforschung 2/1/2011: Offene Objekte 2, no. 1 (2011): 111–26. http://dx.doi.org/10.28937/1000107526.

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Das 1999 veröffentlichte Proust-Lexikon von Philippe Michel-Thiriet umfasst neben zahlreichen biographischen Daten ein »Lexikon der Personen in der Recherche« sowie ein »Lexikon der Orte der Recherche«. Es gibt jedoch kein Lexikon der Dinge der Recherche: kein Verzeichnis der Möbel im Salon von Madame Verdurin, keine Notiz zur »Feindseligkeit der violetten Vorhänge« im Hotel in Balbec, zum vergessenen Fächer der Königin von Neapel oder der Hängelampe im Esszimmer von Combray. Gehören diese Dinge demnach nicht dazu? Handelt es sich um Uneigentliches, um Beiwerk oder Requisiten? Oder sind diese Objekte im Ordnungssystem eines Lexikons einfach nicht adressierbar? Aber warum? Der Beitrag geht diesen Fragen nach und versucht, den Gegenständen in À la recherche du temps perdu die gleiche Aufmerksamkeit zu schenken, die in der Regel nur den handelnden Charakteren des Romans gewidmet wird. Zugleich geht es um die Hinterlassenschaften von Prousts Existenz, die gelegentlich mit Dingen im Roman identifiziert wurden. Aber wie kann ein reales Ding in einen Roman eingehen? Und findet es jemals wieder heraus? </br></br>Philippe Michel-Thiriet's , published in 1999, contains beside biographical data a »lexicon of characters« and a »lexicon of places in the Recherche.« There is, however, no »lexicon of objects:« No directory of the furniture in the parlor of Madame Verdurin, no comment on the »enmity of the violet curtains« in the Hotel of Balbec, the Queen of Naple's forgotten fan or the hanging lamp in the dining room in Combray. Are these objects thus not part of the novel? Are they mere accessories and requisites? Or are they simply not classifiable in the systematic categories of a lexicon? But why? The paper addresses these questions and tries to give the objects in the attention that usually only the novel's protagonists receive. At the same time, it deals with the legacies of Proust's existence that are occasionally identified with the objects in the novel. But how can a real object enter a novel? And does it ever find its way back out?
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OʼLeary., Margaret R., and Reviewed by Linnea C. Brush. "Lexikon." Journal of Clinical Engineering 20, no. 3 (May 1995): 205. http://dx.doi.org/10.1097/00004669-199505000-00011.

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Thiel, Olaf. "Lexikon." Bankmagazin 47, no. 11 (November 1998): 18. http://dx.doi.org/10.1007/bf03228632.

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O’Donnell, James J. "Augustinus-Lexikon." Augustinian Studies 28, no. 2 (1997): 135–39. http://dx.doi.org/10.5840/augstudies199728210.

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Tucker, Ruth W., Horst Seeger, and Heinz Wagner. "Opern-Lexikon." Notes 47, no. 3 (March 1991): 785. http://dx.doi.org/10.2307/941908.

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Bahr, Ehrhard, and Gero von Wilpert. "Goethe-Lexikon." German Studies Review 24, no. 2 (May 2001): 387. http://dx.doi.org/10.2307/1433489.

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Oort, Johannes Van, and Cornelius Mayer. "Augustinus-Lexikon." Vigiliae Christianae 45, no. 4 (December 1991): 376. http://dx.doi.org/10.2307/1584185.

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Engle, Ron, and Henning Rischbieter. "Theater-Lexikon." Theatre Journal 37, no. 4 (December 1985): 515. http://dx.doi.org/10.2307/3207539.

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Haren, Michael. "Augustinus-Lexikon." Philosophical Studies 32 (1988): 337–38. http://dx.doi.org/10.5840/philstudies19883219.

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Föllmi, Beat A. "Augustinus-Lexikon." Verkündigung und Forschung 39, no. 1 (March 1, 1994): 81–83. http://dx.doi.org/10.14315/vf-1994-0107.

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Dissertations / Theses on the topic "Lexikon"

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Berntsson, Alexander, and David Hallberg. "Användning av elektroniska lexikon : Framtidens lexikon?" Thesis, Jönköping University, JIBS, Business Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-1667.

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I denna uppsats granskar vi och vill förmedla kunskap om vilka fördelar och nackdelar som det finns med att använda elektroniska lexikon. Vi tittar även på vad man ska tänka på vid utvecklandet av elektroniska lexikon och vad det finns för demografiska, etiska och juridiska aspekter att ta hänsyn till. Vi tittar även på vilka problem som kan uppstå vid översättning av ord och vilka översättningsproblem som kan uppstå.

I den här uppsatsen granskas ett fysiskt lexikon och fem elektroniska gratislexikon. Den här uppsatsen är menad som vägledning för dem som idag använder lexikon och de som funderar på att börja använda lexikon i sin dator eller mobiltelefon. Den kan även lämpa sig för de aktörer som finns på marknaden idag för att få se utveckling och användning av lexikon ur ett användarperspektiv. Den här studien utförs ur ett humanvetenskapligt perspektiv och är framställd utifrån användarens perspektiv. Det har genomförts en re-spondentintervju med en professor inom lexikologi och en informantintervju med en förläggare på ett bokförlag.

Att ett lexikon är gratis kan ses som både en fördel och nackdel. En fördel är att det le-der till att lexikonet når ut till fler personer. Det kan även vara en nackdel eftersom det blir svårare för de fysiska lexikonen att konkurrera på lika villkor, och även för de aktö-rerna som har ett ekonomiskt intresse. Under intervjuerna framkom det också att en nackdel med att lexikonen är gratis är att kvalitén kan bli lidande eftersom de större ak-törerna som satsar mycket pengar på att utveckla lexikonen inte har möjlighet att satsa lika mycket pengar på utveckling om de inte kan finansiera utvecklingen.

En fördel med elektroniska lexikon ur användarsynpunkt är att det är enkelt att växla mellan olika lexikon utefter behovet. En nackdel om man jämför med fysiska lexikon är att det kan vara svårt att få till ett användarvänligt gränssnitt. Detta beror på att skärmen är mindre. För mobiltelefon får man anpassa mycket på grund av skärmens storlek, men även på en skärm till en dator kan det vara svårt att få sidan lättöverskådlig, funktionell och tilltalande på samma gång.

Ett av de viktigaste kunskapsbidragen i uppsatsen anser vi vara att man bör vara vaksam med kvalitén på översättningarna när det gäller elektroniska lexikon och därmed även kontrollera källan mer noggrant. Under testerna framkom det även att översättningarna mellan lexikonen i många fall är väldigt lika varandra och i andra fall är det väldigt stor skillnad. Man bör därför inte enbart förlita sig till ett lexikon, utan testa några stycken el-ler växla mellan några beroende på användningen.

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Loh-Kliesch, André. "Leipzig-Lexikon Schleußig." André Loh-Kliesch, 2019. https://slub.qucosa.de/id/qucosa%3A75132.

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Das vorliegende Lexikon ist eine geordnete Sammlung von 308 stichpunktartigen Artikeln zum Leipziger Stadtteil Schleußig, die durch 1 167 Verweise miteinander verbunden sind. Dabei konzentriert es sich auf die Lexik, also den Wortschatz des Gegenstandes. Es antwortet kurz und knapp auf die Fragen Was?, Wer?, Wo? und Wann? Behandelt werden vorrangig Straßen und Plätze, Wasserläufe und Brücken, Grün- und Sportanlagen, wichtige Gebäude und Einrichtungen; insbesondere deren häufig wechselnde Namen. Personen werden insofern berücksichtigt, wie sie sich in der Lexik wiederfinden. Wenn ihre Namen auf Straßenschildern, in Namen von Gebäuden oder Einrichtungen oder gar auf Gedenktafeln zu lesen sind, werden sie natürlich kurz erläutert; Leute hingegen, die hier „nur“ gewohnt haben, finden keine Aufnahme.
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Loh-Kliesch, André. "Leipzig-Lexikon Plagwitz." André Loh-Kliesch, 2016. https://slub.qucosa.de/id/qucosa%3A75133.

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Das vorliegende Lexikon ist eine geordnete Sammlung von 355 stichpunktartigen Artikeln zum Leipziger Stadtteil Plagwitz, die durch 1 330 Verweise miteinander verbunden sind. Dabei konzentriert es sich auf die Lexik, also den Wortschatz des Gegenstandes. Es antwortet kurz und knapp auf die Fragen Was?, Wer?, Wo? und Wann? Behandelt werden vorrangig Straßen und Plätze, Wasserläufe und Brücken, Grün- und Sportanlagen, wichtige Gebäude und Einrichtungen; insbesondere deren häufig wechselnde Namen. Personen werden insofern berücksichtigt, wie sie sich in der Lexik wiederfinden. Wenn ihre Namen auf Straßenschildern, in Namen von Gebäuden oder Einrichtungen oder gar auf Gedenktafeln zu lesen sind, werden sie natürlich kurz erläutert; Leute hingegen, die hier „nur“ gewohnt haben, finden keine Aufnahme.
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Polzer, Jürgen. "Deutsche Lexika im Wandel von der systematischen Enzyklopädie zum multimedialen Lexikon /." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11675632.

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Casimir, Katia Kamara. "Lexikon der Tagbana-Sprache." [S.l. : s.n.], 1988. http://deposit.ddb.de/cgi-bin/dokserv?idn=972792694.

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Tietze, Wolf. "Westermann Lexikon der Geographie." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2009/3135/.

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Liljedal, Anna. "Över bruset : ett lexikon." Thesis, Kungl. Konsthögskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kkh:diva-37.

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Ö v e r B r u s e t - e t t l e x i k o n är en berättelse och ett lexikon om vitt kunskapsbrus. Vitt kunskapsbrus anspelar på ljudtermen vitt brus och avser ett sorts ständigt närvarande brus av kunskaper som man har tillgång till utan att riktigt veta varifrån de kommer. Jag har arbetat med vitt kunskapsbrus dels som en brokig massa vaga uppfattningar och faktoider med samma form som faktakunskap, menockså som det beskrivs som ett sorts osynligt landskap i ständig interaktion med kropparna som färdas genom det.
[I examensarbetet ingår utställningen "SPELL":] Utställningens titel SPELL anspelar dels på handlingen att placera bokstäver i en korrekt ordning samt är en association till magi; den sortens magi som innefattar ett ord, eller en serie ord, med möjlighet att förvandla verkligheten eller bli till fysisk handling. Utställningen består av två verk. Obtained from Previous Research utgår från tre olika kognitiva experiment, vilka på olika sätt behandlar kopplingen mellan språk, tanke och handling. Utifrån beskrivet testmaterial använt i experimenten har jag skrivit text och skapat en installation som fokuserar på dynamiken mellan ord, kropp och vetenskaplig kunskapsproduktion. Över Bruset - ett lexikon är en berättelse och ett lexikon om vitt kunskapsbrus. Vitt kunskapsbrus anspelar på ljudtermen vitt brus och avser ett sorts ständigt närvarande brus av kunskaper som man har tillgång till utan att riktigt veta varifrån de kommer. Jag har fascinerats av vitt kunskapsbrus dels som en brokig massa vaga uppfattningar och faktoider med samma form som faktakunskap, men också i hur det beskrivs som ett sorts osynligt landskap i ständig interaktion med kropparna som färdas genom det. Material: Blandade ord, ett kort narrativ and sex utsagor, kort beskrivning av material från kognitiv forskning, papper, snöre,

Masterarbetet består av en skriftlig essä och en gestaltande utställning. 

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Schneider, Ulrich Johannes. "Das Leben im Lexikon." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-171205.

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Was ist ein Leben? Kann man es knapp erzählen, etwa im Lexikonformat? Man hat es versucht, im 17. Jahrhundert etwa Louis Moréri in seinem 'Grand Dictionnaire Historique', der 1674 in der ersten Auflage und 1759 in der zehnten erschien. In dieser Zeitspanne publizierten auch in Deutschland mehrere Verleger, zumal in Leipzig, verstärkt biografische Lexika, von denen das größte paradoxerweise am wenigsten bekannt ist: Johann Heinrich Zedlers 'Großes vollständiges Universal-Lexicon' in 68 Folianten, ein völlig ungehobener Schatz biografischer Information.
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Schneider, Ulrich Johannes. "Das Leben im Lexikon." de Gruyter, 2004. https://ul.qucosa.de/id/qucosa%3A13347.

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Was ist ein Leben? Kann man es knapp erzählen, etwa im Lexikonformat? Man hat es versucht, im 17. Jahrhundert etwa Louis Moréri in seinem ''Grand Dictionnaire Historique'', der 1674 in der ersten Auflage und 1759 in der zehnten erschien. In dieser Zeitspanne publizierten auch in Deutschland mehrere Verleger, zumal in Leipzig, verstärkt biografische Lexika, von denen das größte paradoxerweise am wenigsten bekannt ist: Johann Heinrich Zedlers ''Großes vollständiges Universal-Lexicon'' in 68 Folianten, ein völlig ungehobener Schatz biografischer Information.
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Engelberg, Stefan. "Verben, Ereignisse und das Lexikon /." Tübingen : M. Niemeyer, 2000. http://catalogue.bnf.fr/ark:/12148/cb39918034m.

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Books on the topic "Lexikon"

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Iwainsky, Alfred, and Wolfgang Wilhelmi. Lexikon. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-90716-5.

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Despotopoulos, Kōnstantinos I. Lexikon tēs prosōkratikēs philosophias =: Lexicon of presocratic philosophy. Athēnai: Akadēmia Athēnōn, Kentron Eruenēs tēs Hellēnikēs Philosophias, 1988.

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Mauersberger, Arno. Polybios-Lexikon. 2nd ed. Berlin: Akademie-Verlag, 2000.

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Ziemen, Kerstin, ed. Lexikon Inklusion. Göttingen: Vandenhoeck & Ruprecht, 2016. http://dx.doi.org/10.13109/9783666701870.

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Willaschek, Marcus, Jürgen Stolzenberg, Georg Mohr, and Stefano Bacin, eds. Kant-Lexikon. Berlin, Boston: De Gruyter, 2017. http://dx.doi.org/10.1515/9783110520071.

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Friedrich, Norbert, Klaus Baumann, Christian Dopheide, Johannes Eurich, Astrid Giebel, Beate Hofmann, Traugott Jähnichen, Frank Otfried July, Jörg Kruttschnitt, and Martin Wolff, eds. Diakonie-Lexikon. Göttingen: Vandenhoeck & Ruprecht, 2016. http://dx.doi.org/10.13109/9783788731939.

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Grütze, Dietmar. Bau-Lexikon. München: Carl Hanser Verlag GmbH & Co. KG, 2007. http://dx.doi.org/10.3139/9783446408579.

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Langner, Manfred. Beat-Lexikon. Berlin: Lexikon Imprint Verlag, 1999.

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Feige, Marcel. Fantasy Lexikon. Berlin: Lexikon, 2000.

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Lampel, Walter. Waffen Lexikon. München: BLV, 1994.

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Book chapters on the topic "Lexikon"

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Kitzmüller, Erich, and Ina Paul-Horn. "Lexikon." In Alternative Ökonomie, 74–80. Vienna: Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6456-3_12.

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Raabe, Paul. "Lexikon." In Die Autoren und Bücher des literarischen Expressionismus, 21–560. Stuttgart: J.B. Metzler, 1992. http://dx.doi.org/10.1007/978-3-476-03360-4_2.

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Lindner, Udo Klaus, and D. B. Dubin. "Lexikon." In Schnellinterpretation des EKG, 442–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-09816-5_13.

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Mertens, Peter, Wolfgang König, Hermann Krallmann, August-Wilhelm Scheer, Dietrich Seibt, Peter Stahlknecht, Horst Strunz, Rainer Thome, and Hartmut Wedekind. "Lexikon." In Lexikon der Wirtschaftsinformatik, 1–465. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-08371-0_1.

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Mertens, Peter, Hans Robert Hansen, Hermann Krallmann, August-Wilhelm Scheer, Dietrich Seibt, Peter Stahlknecht, Horst Strunz, Rainer Thome, and Hartmut Wedekind. "Lexikon." In Lexikon der Wirtschaftsinformatik, 1–369. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-08372-7_1.

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Haberl, Helmut, and Gerhard Strohmeier. "Lexikon." In Kulturlandschaftsforschung, 95–97. Vienna: Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6382-5_13.

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Adam, Sabine, Susanne Andres, Günter Bentele, Reinhold Bergler, Barbara Berkel, Roland Burkart, Romy Fröhlich, et al. "Lexikon." In Handbuch der Public Relations, 575–610. Wiesbaden: VS Verlag für Sozialwissenschaften, 2005. http://dx.doi.org/10.1007/978-3-322-99902-3_43.

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Wenzel, Manfred. "Lexikon." In Goethe Handbuch, 293–717. Stuttgart: J.B. Metzler, 2012. http://dx.doi.org/10.1007/978-3-476-00043-9_8.

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Fries, Christian. "Lexikon." In Grundlagen der Mediengestaltung, 234–49. 6th ed. München: Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446469662.013.

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Asendorf, Manfred, and Rolf von Bockel. "Lexikon." In Demokratische Wege, 1–715. Stuttgart: J.B. Metzler, 2006. http://dx.doi.org/10.1007/978-3-476-00185-6_1.

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Conference papers on the topic "Lexikon"

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Feng, Xiaocheng, Xiachong Feng, Bing Qin, Zhangyin Feng, and Ting Liu. "Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/566.

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Neural networks have been widely used for high resource language (e.g. English) named entity recognition (NER) and have shown state-of-the-art results.However, for low resource languages, such as Dutch, Spanish, due to the limitation of resources and lack of annotated data, taggers tend to have lower performances.To narrow this gap, we propose three novel strategies to enrich the semantic representations of low resource languages: we first develop neural networks to improve low resource word representations by knowledge transfer from high resource language using bilingual lexicons. Further, a lexicon extension strategy is designed to address out-of lexicon problem by automatically learning semantic projections.Thirdly, we regard word-level entity type distribution features as an external language-independent knowledge and incorporate them into our neural architecture. Experiments on two low resource languages (including Dutch and Spanish) demonstrate the effectiveness of these additional semantic representations (average 4.8\% improvement). Moreover, on Chinese OntoNotes 4.0 dataset, our approach achieved an F-score of 83.07\% with 2.91\% absolute gain compared to the state-of-the-art results.
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Abidi, K., and K. Smaili. "Creating Multi-Scripts Sentiment Analysis Lexicons for Algerian, Moroccan and Tunisian Dialects." In 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111413.

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In this article, we tackle the issue of sentiment analysis in three Maghrebi dialects used in social networks. More precisely, we are interested by analysing sentiments in Algerian, Moroccan and Tunisian corpora. To do this, we built automatically three lexicons of sentiments, one for each dialect. Each lexicon is composed of words with their polarities, a dialect word could be written in Arabic or in Latin scripts. These lexicons may include French or English words as well as words in Arabic dialect and standard Arabic. The semantic orientation of a word represented by an embedding vector is determined automatically by calculating its distance with several embedding seed words. The embedding vectors are trained on three large corpora collected from YouTube. The proposed approach is evaluated by using few existing annotated corpora in Tunisian and Moroccan dialects. For the Algerian dialect, in addition to a small corpus we found in the literature, we collected and annotated one composed of 10k comments extracted from Youtube. This corpus represents a valuable resource which is proposed for free.
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Keinan, Ron, Dan Bouhnik, and Efraim A Margalit. "Emotional Analysis in Hebrew Texts: Enhancing Machine Learning with Psychological Feature Lexicons [Abstract]." In InSITE 2024: Informing Science + IT Education Conferences. Informing Science Institute, 2024. http://dx.doi.org/10.28945/5279.

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Aim/Purpose. This paper addresses the challenge of emotional analysis in Hebrew texts, specifically focusing on enhancing machine learning techniques with psychological feature lexicons to improve classification accuracy in identifying depression. Background. Emotional analysis in Hebrew texts presents unique challenges due to the language's intricate morphology and rich derivation system. This paper seeks to leverage advanced machine learning methods augmented with carefully crafted psychological feature lexicons to address these challenges and improve the identification of depression from online discourse. Methodology. The study involves scraping and analyzing a dataset consisting of over 350K posts from 25K users on the "Camoni" health-related social network spanning 2010-2021. Various machine learning models, including SVM, Random Forest, Logistic Regression, and Multi-Layer Perceptron, were employed alongside ensemble methods such as Bagging, Boosting, and Stacking. Features were selected using TF-IDF, incorporating both word and character n-grams (Aisopos et al., 2016; HaCohen-Kerner et al., 2018). Pre-processing steps, including punctuation removal, stop word elimination, and lemmatization, were applied, to handle the challenges in Hebrew as a reach morphological language (Amram et al., 2018; Tsarfaty et al., 2019). Then hyperparameter tuning was conducted to optimize model performance across different languages. Following this, the models were enriched with features extracted from sentiment lexicons conducted by professional psychologists. (Shapira et al., 2021). Contribution. This paper contributes to the field by demonstrating the efficacy of integrating psychological feature lexicons into machine-learning models for emotional analysis in Hebrew texts. Addressing the unique linguistic challenges, it advances the understanding of depression detection in online communities and informs the development of more effective preventive measures and treatments. Findings. Through experimentation, it was discovered that enriching the models with features from sentiment lexicons significantly improved classification accuracy. Among the sentiment lexicons tested, six were identified as particularly enchanting: Negative emojis, positive emojis, neutral emojis, Hostile words, Anxiety words, and No-Trust words. The coverage and the quality of a feature lexicon are and may contribute to the success of various tasks like opinion mining and sentiment analysis (Feldman, 2013; Liu, 2012; Yang et al., 2020). Recommendations for Practitioners. Practitioners in mental health and social work should prioritize enriching machine learning models with sentiment lexicons to enhance the accuracy and effectiveness of depression detection in online discourse. By incorporating lexicons capturing emotional nuances, practitioners can improve the sensitivity of their screening processes. Recommendations for Researchers. Future research endeavors should focus on further refining machine learning models by enriching them with sentiment lexicons. Additionally, exploring the integration of sentiment lexicons into deep learning models could provide further insights into the classification of emotional content in textual data. Impact on Society. The findings have significant implications for the development of more accurate and efficient methods for detecting depression in online Hebrew discourse. By leveraging advanced machine learning techniques augmented with psychological feature lexicons, this research contributes to enhancing mental health interventions and promoting well-being in online communities. Future Research. Future research should not only continue exploring the integration of sentiment lexicons into machine learning models but also extend this investigation to deep learning architectures. Investigating the effectiveness of sentiment lexicons in enhancing the performance of deep learning models could advance our understanding of emotional analysis in textual data and improve depression detection algorithms.
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Yow, Leong Wai, Kong Hua Lim, Yee Mei Lim, and Tong Ming Lim. "Sentiment Analysis on Adaptive Lexicon-Based Approach and Statistical Lexicon-Based Approach." In International Conference on Digital Transformation and Applications (ICDXA 2020). Tunku Abdul Rahman University College, 2020. http://dx.doi.org/10.56453/icdxa.2020.1007.

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Social media has been playing a huge role towards the society nowadays, mainly because of the community express their opinions and thoughts mostly on their own social media. Therefore, it is difficult to figure out the emotion of each sentences on social media as the words used carries different meaning individually, and when used in a sentence. A method has been created from existing static lexicon (staticLex) to improve the performance of determining the emotion on message-level sentiment analysis, called adaptive lexicon (adaLex) [2]. Data source is from Plutchik’s emotion annotated data. Keywords: sentiment analysis, adaptive lexicon, static lexicon
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Gross, Maurice. "Lexicon-grammar." In the 11th coference. Morristown, NJ, USA: Association for Computational Linguistics, 1986. http://dx.doi.org/10.3115/991365.991367.

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Feng, Yuanyuan, and Kejian Liu. "A Personality Prediction Method of WEIBO Users based on Personality Lexicon." In 10th International Conference on Natural Language Processing (NLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112312.

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Personality is the dominant factor affecting human behavior. With the rise of social network platforms, increasing attention has been paid to predict personality traits by analyzing users' behavior information, and pay little attention to the text contents, making it insufficient to explain personality from the perspective of texts. Therefore, in this paper, we propose a personality prediction method based on personality lexicon. Firstly, we extract keywords from texts, and use word embedding techniques to construct a Chinese personality lexicon. Based on the lexicon, we analyze the correlation between personality traits and different semantic categories of words, and extract the semantic features of the texts posted by Weibo users to construct personality prediction models using classification algorithm. The final experiments shows that compared with SC-LIWC, the personality lexicon constructed in this paper can achieve a better performance.
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Aliyah Salsabila, Nikmatun, Yosef Ardhito Winatmoko, Ali Akbar Septiandri, and Ade Jamal. "Colloquial Indonesian Lexicon." In 2018 International Conference on Asian Language Processing (IALP). IEEE, 2018. http://dx.doi.org/10.1109/ialp.2018.8629151.

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Ahmad, F. "Urdu computational lexicon." In International Multi Topic Conference, 2002. Abstracts. INMIC 2002. IEEE, 2002. http://dx.doi.org/10.1109/inmic.2002.1310152.

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Varathan, Kasturi Dewi, Tengku Mohd Tengku Sembok, and Rabiah Abdul Kadir. "Automatic lexicon generator." In Knowledge Management (CAMP). IEEE, 2010. http://dx.doi.org/10.1109/infrkm.2010.5466952.

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Mahdabi, Parvaz, Shima Gerani, Jimmy Xiangji Huang, and Fabio Crestani. "Leveraging conceptual lexicon." In SIGIR '13: The 36th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2484028.2484056.

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Reports on the topic "Lexikon"

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White, Franklin E. Data Fusion Lexicon. Fort Belvoir, VA: Defense Technical Information Center, October 1991. http://dx.doi.org/10.21236/ada529661.

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Young, Stanley, and Dennis So Ting Fong. Arterial Performance Management System Lexicon. Purdue University, December 2017. http://dx.doi.org/10.5703/1288284316565.

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Letowski, Tomasz, Robert Karsh, Nancy Vause, Russell D. Shilling, and James Ballas. Human Factors Military Lexicon: Auditory Displays. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada395942.

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Azcárate Ortega, Almudena, and Victoria Samson, eds. A Lexicon for Outer Space Security. UNIDIR, August 2023. http://dx.doi.org/10.37559/wmd/23/space/05.

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Dorr, Bonnie. LEXICALL: Lexicon Construction for Foreign Language Tutoring. Fort Belvoir, VA: Defense Technical Information Center, February 1997. http://dx.doi.org/10.21236/ada458641.

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NARYKOVA, N. A., S. V. KHATAGOVA, and Yu R. PEREPELITSYNA. PEJORATIVE WORDS IN GERMAN MASS-MEDIA IN NOMINATIONS OF POLITICIANS. Science and Innovation Center Publishing House, April 2022. http://dx.doi.org/10.12731/2077-1770-2021-14-1-3-57-68.

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One of the main functions of mass media is influence on public opinion. So emotionally-painted lexical means are widely used in mass media in relation to leading politicians who are the centre of political arena. They are exposed to the frequent criticism, a negative estimation. The present article is devoted to the consideration of pejorative lexicon which is applied in nominations for heads of states. An empirical material of research were electronic newspapers and editions: Der Spiegel, Die Zeit, Sueddeutsche Zeitung, Der Tagesspiegel, taz, Die Welt, Gegenblende. As the basic methods of research are the following: the componental analysis, the lexico-semantic analysis, the stylistic analysis. The result of research revealed, that in German mass media there is a significant amount of persons names pejorative colouring. They express censure, disrespect, sneer, hatred, antipathy, condemnation, mistrust and so on. There main word-formations for persons nominations are composition, a derivation with using of suffixes and subsuffixes, attributive word-combinations, metaphorically-metonymical way. The materials of the research work can be used in the course of learning German language, at the practical training in oral speech, and also in the course of lexicology, general and aspect lexicography.
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Bétournay, M. C. English-French lexicon of surface crown pillar related terms. Natural Resources Canada/CMSS/Information Management, 1987. http://dx.doi.org/10.4095/328718.

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Гладка, О. В. Developing Upper-Intermediate Students' Lexical Competence. Видавничий центр ДВНЗ "КНУ", 2017. http://dx.doi.org/10.31812/0564/2039.

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The article deals with the problrm of developing upper-intermediate students' lexical competence. The difficulties of the this process are highligted. The wide range of activities on enlarging students' lexicon are suggested.
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Hylton, Nola M. Case Library for Standardization and Testing of a Breast MRI Lexicon. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada412781.

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Ayan, Necip F., Bonnie Dorr, and Okan Kolak. Domain Tuning of Bilingual Lexicons for MT. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada455197.

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