1,720,996 research outputs found
Corpus of North American Spoken English
No full textThe Corpus of North American Spoken English (CoNASE) is a 1.25-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech.
The corpus was created from 301,846 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,294,885,016 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or utility districts, regional authorities such as provincial or territorial governments, or other governmental organizations. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script
Corpus of German Speech
No full textThe Corpus of German Speech (CoGS) is a 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Germany, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 39,495 ASR transcripts from 1,313 YouTube channels, corresponding to more than 7,223 hours of video. The size of the corpus is 50,514,575 tokens. The channels sampled in the corpus are associated with local government entities, mostly city governments. Related resources are the Corpus of North American Spoken English and the Corpus of British Isles Spoken English
Corpus of Australian and New Zealand Spoken English
No full textThe Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 55,896 ASR transcripts from 472 YouTube channels, corresponding to almost 24,007 hours of video. The size of the corpus is 195,583,873 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, district, and regional councils, and transcripts are from a range of video types. Recordings of public meetings are well-represented.
Related resources are the Corpus of North American Spoken English and the Corpus of British Isles Spoken English.
A searchable online version of this data is available at coanzse.org. The resource also includes audio and forced alignments
Corpus of British Isles Spoken English
No full textThe Corpus of British Isles Spoken English (CoBISE) is a corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United Kingdom and Ireland, created for the study of linguistic and interactional phenomena in contemporary English. Transcripts are linked to videos accessible through the YouTube platform, allowing the study of multimodal phenomena.
The corpus was created from 38,680 ASR transcripts from 497 YouTube channels, corresponding to more than 12,800 hours of video. The size of the corpus is 111,563,614 tokens. The channels sampled in the corpus are associated with local government entities such as county or city councils. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script
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
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
- …
