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    INEL Kamas Corpus

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    Corpus Citation Gusev, Valentin; Klooster, Tiina. 2018. “INEL Kamas Corpus.” Version 0.1. Publication date 2018-12-31. https://hdl.handle.net/11022/0000-0007-CAE6-2. Archived in Hamburger Zentrum für Sprachkorpora. In: Wagner-Nagy, Beáta; Arkhipov, Alexandre; Ferger, Anne; Jettka, Daniel; Lehmberg, Timm (eds.). 2018. The INEL corpora of indigenous Northern Eurasian languages. Corpus Description The INEL Kamas corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages"), 2016–2033. The corpus makes possible typologically aware corpus-based grammatical research on the Kamas language and expands the documentation of the lesser described indigenous languages of Northern Eurasia. The INEL Kamas corpus consists of two parts: folklore texts collected by Kai Donner in 1912–1914, and transcribed audio recordings of the last speaker of Kamas, Klavdiya Plotnikova, made between 1964 and 1970. Each text in the corpus is provided with morphological glossing, translation into English, Russian and German, as well as annotation of Russian borrowings. Some texts also have annotations for syntactic functions, semantic roles and information status. Funding The corpus has been produced in the context of the joint research funding of the German Federal Government and Federal States in the Academies’ Programme, with funding from the Federal Ministry of Education and Research and the Free and Hanseatic City of Hamburg. The Academies’ Programme is coordinated by the Union of the German Academies of Sciences and Humanities. Contributions/Acknowledgements Recordings of Kamas speech made by Ago Künnap in Abalakovo and by Tiit-Rein Viitso in Tartu, as well as the digitized fragment of the surviving copy of Kai Donner’s phonograph recording provided by the Archive of Estonian Dialects and Kindred Languages of the University of Tartu, Estonia (AEDKL, or TÜEMSA). Recordings of Klavdiya Plotnikova made by Jaakko Yli-Paavola in Tallinn in 1970 provided by KOTUS Archive, Helsinki. Scanned pages from [Joki 1944] containing texts collected by Kai Donner published online courtesy of the Finno-Ugrian Society

    INEL Selkup Corpus

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    Corpus Citation Brykina, Maria; Orlova, Svetlana; Wagner-Nagy, Beáta. 2018. INEL Selkup Corpus. Version 0.1. Publication date 2018-12-31. Archived in Hamburger Zentrum für Sprachkorpora. https://hdl.handle.net/11022/0000-0007-CAE5-3. In: Wagner-Nagy, Beáta; Arkhipov, Alexandre; Ferger, Anne; Jettka, Daniel; Lehmberg, Timm (eds.). 2018. The INEL corpora of indigenous Northern Eurasian languages. Corpus Description The INEL Selkup corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages”), 2016–2033. The corpus makes possible typologically aware corpus-based grammatical research on the Selkup language and expands the documentation of the lesser described indigenous languages of Northern Eurasia. The INEL Selkup corpus is composed of texts from the archive of Angelina Ivanovna Kuzmina (1924–2002), who gathered a large amount of material on Selkup in almost all regions where the Selkup people lived in 1962–1977. Most texts in the corpus originate from the handwritten part of the archive, the others come from sound recordings made by A.I. Kuzmina, transcribed and translated within the INEL project. Each text in the corpus is provided with morphological glossing, translation into English, Russian and German, as well as annotation of Russian borrowings. Some texts also have annotations for syntactic functions, semantic roles and information status. Funding The corpus has been produced in the context of the joint research funding of the German Federal Government and Federal States in the Academies’ Programme, with funding from the Federal Ministry of Education and Research and the Free and Hanseatic City of Hamburg. The Academies’ Programme is coordinated by the Union of the German Academies of Sciences and Humanities. Contributions/Acknowledgements Sound materials of Angelina Kuzmina were transcribed and translated by native speakers of Selkup: Svetlana Nikitichna Sankevich (Kunina), oral transcription and Russian translation of texts in Northern dialects Evgeniya Sergeevna Smorgunova (Irikova), oral and written transcription and Russian translation of audio texts in Northern dialects Valentina Vladimirovna Tamel`kina, oral transcription and Russian translation of audio texts in Northern dialects The web-based search interface is using the Tsakonian Corpus platform developed by Dr. Timofey Arkhangelskiy, Humboldt Research Fellow at IFUU, Hamburg Universit

    INEL Kamas Corpus

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    Corpus Citation Gusev, Valentin; Klooster, Tiina; Wagner-Nagy, Beáta. 2019. "INEL Kamas Corpus." Version 1.0. Publication date 2019-12-15. http://hdl.handle.net/11022/0000-0007-DA6E-9. Archived in Hamburger Zentrum für Sprachkorpora. In: Wagner-Nagy, Beáta; Arkhipov, Alexandre; Ferger, Anne; Jettka, Daniel; Lehmberg, Timm (eds.). The INEL corpora of indigenous Northern Eurasian languages. Corpus Description The INEL Kamas corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages"), 2016–2033. The corpus makes possible typologically aware corpus-based grammatical research on the Kamas language and expands the documentation of the lesser described indigenous languages of Northern Eurasia. The INEL Kamas corpus consists of two parts: folklore texts collected by Kai Donner in 1912–1914, and transcribed audio recordings of the last speaker of Kamas, Klavdiya Plotnikova, made between 1964 and 1970. Each text in the corpus is provided with morphological glossing, translation into English, Russian and German, as well as annotation of syntactic functions, semantic roles, Russian borrowings and code-switching. Some texts also have annotations for information status. New in release 1.0 The totality of Klavdiya Plotnikova’s transcripts are now published, including all the tapes from the KOTUS archive, as well as the two recordings of Aleksandra Semyonova (21 more texts in total). All the texts are now annotated for syntactic functions and semantic roles. Numerous corrections in glosses and other annotations. Funding The corpus has been produced in the context of the joint research funding of the German Federal Government and Federal States in the Academies’ Programme, with funding from the Federal Ministry of Education and Research and the Free and Hanseatic City of Hamburg. The Academies’ Programme is coordinated by the Union of the German Academies of Sciences and Humanities. Contributions/Acknowledgements Recordings of Kamas speech made by Ago Künnap in Abalakovo and by Tiit-Rein Viitso in Tartu provided by the Archive of Estonian Dialects and Kindred Languages of the University of Tartu, Estonia (AEDKL, or TÜEMSA). Recordings of Klavdiya Plotnikova made by Jaakko Yli-Paavola in Tallinn in 1970 provided by the Institute for the Languages of Finland archive, Helsinki (KOTUS). Scanned pages from the Kai Donners Kamassisches Wörterbuch (Joki 1944) containing texts collected by Kai Donner published online courtesy of the Finno-Ugrian Society. The web-based search interface is using the Tsakonian Corpus platform developed by Dr. Timofey Arkhangelskiy. Partner Organizations The INEL project benefited greatly from cooperation with our partner institutions: Institute of the World Culture, M.V. Lomonosov Moscow State University, Moscow Department of Languages of the Peoples of Siberia, Tomsk State Pedagodical University, Tomsk Institute of Philology, Siberian Branch of Russian Academy of Sciences, Novosibirsk Taymyr House of Folk Art, Dudinka Arctic State Institute Culture and Arts, Yakuts

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Variations on the Author

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    “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

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    We 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

    VIKUS Viewer (overlay extension)

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    The VIKUS Viewer (overlay extension) is an adaption of VIKUS Viewer, a web-based visualization system for the dynamic, interactive visualization of metadata (originally on cultural heritage data) that allows for the exploration of thematic and temporal patterns of large collections. The extension aims at the support of multi-media data that occurs in spoken language corpora (esp. audio and video). VIKUS Viewer was designed and developed by Christopher Pietsch. The VIKUS Viewer software is based on the visualization code behind Past Visions, a collaborative effort by Katrin Glinka, Christopher Pietsch, and Marian Dörk carried out at the University of Applied Sciences Potsdam in the context of the Urban Complexity Lab during the research project VIKUS (2014-2017). Related Paper: Past Visions and Reconciling Views. The T-SNE view has been implemented for the Sphaera project with funding from Chronoi-RE

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Author Index

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