1,720,999 research outputs found
Verbs and their ideophones in Japanese blog texts
No full textIdeofoner används flitigt i japanska och är viktiga att lära sig men bjuder på stora svårigheter för andraspråkstalare. Den här studien undersöker vilka sammanhang japanska ideofoner används i, specifikt vilka verb som ofta modifieras av ideofoner och vilka dessa ideofoner är. En japansk bloggkorpus på 5,5 miljarder tokens delades upp i tokens, ordklasstaggades, dependensparsades och söktes igenom. Vid en signifikansnivå på 0,001 hittades 2398 verb som ofta modifieras av ideofoner och 52719 kollokationer av verb och ideofoner, medan antalet unika ideofoner var 756. Detta visar att ideofoner används i en stor mängd sammanhang där det finns en relation mellan ideofon och verb. De 20 högst rankade kollokationerna undersöktes mer ingående och innehöll till största delen skildringar av sinnesintryck som är ovanliga att uttrycka med ideofoner i många språk, och som därmed kan vara svåra för många andraspråkstalare.Ideophones are widely used in Japanese and are important to learn, but present big challenges for L2 speakers. This study investigates the contexts that ideophones in Japanese occur in, specifically what verbs are often modified by ideophones and those ideophones. A Japanese blog corpus consisting of 5.5 billion tokens was split up into tokens, tagged with part of speech and dependency relations and then searched. At a significance level of 0.001, 2398 verbs were found to often be modified by ideophones, and 52179 collocations of verbs and ideophones were found. The number of unique ideophones were 756. This shows that ideophones are used in many contexts where there is a relationship between ideophone and verb. The 20 highest ranked collocations were examined. Most contained depictions of sensory imagery normally not expressed by ideophones in many languages, and which might therefore be difficult for many L2 speakers
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Positive and negative effects of language technology on minority languages
No full textTechnology has historically had both beneficial and detrimental effects on languages. In our lifetimes, computers and computer based communication have gone from obscure to mainstream, even indispensable. Having technology thwart you when you write your language can be devastating and make you not want to use it. Being instead nudged by helpful keyboards, good spell checkers, and predictive language models can increase your enjoyment and make you write it more.I will give a brief tour of the history of language technology in a broad sense, from typewriters to modern smartphones, and describe the challenges facing many languages today that lack the proper tools, focusing on the Swedish national minority languages. I will also describe what we do at the Language Council of Sweden to both raise awareness and develop concrete tools for these languages.</p
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Using Topics2Themes and Word Rain to visualise topics in Swedish news on climate change
No full textThe classic word cloud remains a popular visualisation technique, also to use for more advanced text exploration and comparison tasks. However, since the standard word cloud does not provide any support for these kinds of analytical tasks, we have created the Word Rain visualisation technique, which is a development of the classic word cloud. The Word Rain technique positions paradigmatically similar words close to each other on the x-axis, which makes it easier to identify semantic word clusters and to carry out comparison tasks. We have previously applied the technique on several different tasks, and we here show how the Word Rain visualisation can support a topical analysis of the text collection content. We first apply the topic modelling tool Topics2Themes to a collection of texts on the subject of climate change, and then use the Word Rain technique to visualise the automatically extracted topics. The Word Rain visualisation applied on the entire text collection provides an overview of its content, sorted according to paradigmatic similarity. When also creating focused word rain visualisations for the extracted topics, a visual semantic profile for each one of the topics is created, which supports the tasks of understanding and comparing topics. We have, thereby, here provided yet an example of how the Word Rain technique can be practically used for visualising and exploring texts
Using Topics2Themes and Word Rain to visualise topics in Swedish news on climate change [Elektronisk resurs]
No full textThe classic word cloud remains a popular visualisation technique, also to use for more advanced text exploration and comparison tasks. However, since the standard word cloud does not provide any support for these kinds of analytical tasks, we have created the Word Rain visualisation technique, which is a development of the classic word cloud. The Word Rain technique positions paradigmatically similar words close to each other on the x-axis, which makes it easier to identify semantic word clusters and to carry out comparison tasks. We have previously applied the technique on several different tasks, and we here show how the Word Rain visualisation can support a topical analysis of the text collection content. We first apply the topic modelling tool Topics2Themes to a collection of texts on the subject of climate change, and then use the Word Rain technique to visualise the automatically extracted topics. The Word Rain visualisation applied on the entire text collection provides an overview of its content, sorted according to paradigmatic similarity. When also creating focused word rain visualisations for the extracted topics, a visual semantic profile for each one of the topics is created, which supports the tasks of understanding and comparing topics. We have, thereby, here provided yet an example of how the Word Rain technique can be practically used for visualising and exploring texts.</p
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