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Sõnaliik leksikograafi töölaual: sõnaliikide roll tänapäeva leksikograafias
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 16, Pp 177-202 (2020) (2020)
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A comparison of collocations and word associations in Estonian from the perspective of parts of speech
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In: Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 8, Iss 2 (2020) (2020)
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Compiling the Dictionary of Word Associations in Estonian: From scratch to the database
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 14, Pp 229-245 (2018) (2018)
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Kelle emotsioonile anda teksti ette lugedes hääl? Vaatlus mitmest perspektiivist / Who’s emotions to express while reading out loud? A multi-perspective approach
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 10, Iss 0, Pp 335-351 (2014) (2014)
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Kuidas määrata eesti keele sõnavara tundetoone?
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 0, Iss 8 (2012) (2012)
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Conceptual co-presence of motion and emotion in the Estonian terms of personality
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 0, Iss 6, Pp 349-368 (2010) (2010)
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Kuidas õpetada kõnesüntesaatorile empaatiat? Emotsiooni automaatse tuvastuse võimalustest eestikeelses kirjalikus lauses sisalduva info põhjal
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 0, Iss 6, Pp 327-347 (2010) (2010)
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Kuidas me mõistame mõisteid?
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 0, Iss 4, Pp 225-245 (2008) (2008)
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Emotsioonisõnad töises keskkonnas – millest kõnelevad loetelukatsete tulemused?
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 0, Iss 3, Pp 339-353 (2007) (2007)
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Iseorganiseeruvad keele-elemendid eesti keele emotsioonisõnavara näitel
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In: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 0, Iss 1, Pp 171-186 (2005) (2005)
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Comparison of the Methods of Self-Organizing Maps and Multidimensional Scaling in Analysis of Estonian Emotion Concepts
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In: http://dspace.utlib.ee/dspace/bitstream/handle/10062/2561/reg-Kirt-19.pdf;jsessionid=460EEA8DEDF08F59B596E0803039836F?sequence=1
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Abstract:
Self-organizing map (SOM) and multidimensional scaling (MDS) are the methods of data analysis that reduce dimensionality of the input data and visualize the structure of multidimensional data by means of projection. Both methods are widely used in different research areas. In the studies of emotion vocabulary and other psycho-lexical surveys the MDS has been prevalent. In this paper both of the methods are introduced and as an illustration they are applied to a case study of Estonian emotion concepts. There is a need to introduce some new methods to the field because exploiting only one analytical tool may tend to reveal only specific properties of data and thus have an unwanted impact on the results. 1
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URL: http://dspace.utlib.ee/dspace/bitstream/handle/10062/2561/reg-Kirt-19.pdf;jsessionid=460EEA8DEDF08F59B596E0803039836F?sequence=1 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.564.1404
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WELCOME TO ESTONIA! FROM THE FOLK THEORY OF EMOTIONS AND CHARACTER TRAITS TO BRAND
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In: http://www.folklore.ee/folklore/vol30/vainik.pdf
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Comparison of the Methods of Self-Organizing Maps and Multidimensional Scaling in Analysis of Estonian Emotion Concepts
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In: http://www.phon.ioc.ee/dokuwiki/lib/exe/fetch.php?media=people%3Atoomas%3Anodalida07.pdf
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A method for comparing self-organizing maps: case studies of
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In: http://datalaundering.private.dk/download/10.pdf
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A Method for Comparing Self-Organizing Maps: Case Studies of Banking and Linguistic Data
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In: http://www.phon.ioc.ee/dokuwiki/lib/exe/fetch.php?media=people%3Atoomas%3Aadbis07.pdf
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A method for comparing self-organizing maps: case studies of banking and linguistic data
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In: http://www.adbis.org/docs/lp/10.pdf
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