Computer-assisted Analysis of Zhu Fonian’s Original Mahayana Sutras

2021 ◽  
Vol 38 (2) ◽  
Author(s):  
Lin Qian ◽  
Michael Radich
Keyword(s):  
Textual Analysis ◽  
Computer Assisted ◽  
Indian Text ◽  
Chinese Texts ◽  
Assisted Analysis

In her 2010 study of the Shi zhu duan jie jing T309, Jan Nattier found that several passages in T309 were copied from earlier Chinese Buddhist texts. She thus proposed that T309 is not a translation from an Indian text, but a “forgery” by Zhu Fonian. Extending Nattier’s analysis with the help of TACL, a tool for computational textual analysis, we conducted a more thorough analysis of Zhu Fonian’s four Mahayana texts, namely, T309, the Pusa chu tai jing T384, the Zhongyin jin T385, and the Pusa yingluo jing T656, and found in T309 and T656 additional content deriving from earlier Chinese texts. On the basis of this analysis of these features of the texts, we propose that all four were likely compiled by Zhu Fonian himself.

Plagiaatbestrijding en analyse van oude bijbelvertalingen. Computationele tekstvergelijking in onderwijs en onderzoek

2009 ◽  
Vol 63 (1) ◽  
pp. 22-36
Author(s):  
W.Th. (Wido) van Peursen
Keyword(s):  
Hebrew Bible ◽  
Textual Analysis ◽  
The Internet ◽  
Computer Assisted ◽  
Digital Text ◽  
Assisted Analysis

Antiplagiarism software involves the comparison of various texts and the measurement of percentages of agreement and disagreement in order to establish dependency relationships, that is, to find out whether one text (e.g. a student’s paper) is based on another text (e.g. another student’s paper or a text on the internet). In the computer-assisted analysis of the Hebrew Bible and its ancient versions, the computer is used in a similar way to measure distances between texts and to establish relationships of dependency. Comparing these two applications of digital text comparison is helpful to illuminate the role of the computer functions of calculation and sorting in textual analysis.

Computer-Assisted Analysis of Multi-Color Confocal Microscopic Datasets: Automated Light Microscopic Discrimination of Synaptic Relationships

1996 ◽  
Vol 54 ◽  
pp. 284-285
Author(s):  
M Wessendorf ◽  
A Beuning ◽  
D Cameron ◽  
J Williams ◽  
C Knox
Keyword(s):  
Nerve Fibers ◽  
Confocal Scanning Laser Microscopy ◽  
Computer Assisted ◽  
Nerve Terminals ◽  
Neuronal Somata ◽  
Scanning Laser Microscopy ◽  
Confocal Scanning ◽  
Entire Cell ◽  
Confocal Scanning Laser ◽  
Assisted Analysis

Multi-color confocal scanning-laser microscopy (CSLM) allows examination of the relationships between neuronal somata and the nerve fibers surrounding them at sub-micron resolution in x,y, and z. Given these properties, it should be possible to use multi-color CSLM to identify relationships that might be synapses and eliminate those that are clearly too distant to be synapses. In previous studies of this type, pairs of images (e.g., red and green images for tissue stained with rhodamine and fluorescein) have been merged and examined for nerve terminals that appose a stained cell (see, for instance, Mason et al.). The above method suffers from two disadvantages, though. First, although it is possible to recognize appositions in which the varicosity abuts the cell in the x or y axes, it is more difficult to recognize them if the apposition is oriented at all in the z-axis—e.g., if the varicosity lies above or below the neuron rather than next to it. Second, using this method to identify potential appositions over an entire cell is time-consuming and tedious.

scholarly journals Syllabification of the Divine Comedy

2021 ◽  
Vol 14 (3) ◽  
pp. 1-26
Author(s):  
Andrea Asperti ◽  
Stefano Dal Bianco
Keyword(s):  
Text Processing ◽  
Solution Space ◽  
Generative Models ◽  
Divine Comedy ◽  
Point Of View ◽  
Computer Assisted ◽  
Wide Range ◽  
The Divine Comedy ◽  
Left And Right ◽  
Assisted Analysis

We provide a syllabification algorithm for the Divine Comedy using techniques from probabilistic and constraint programming. We particularly focus on the synalephe , addressed in terms of the "propensity" of a word to take part in a synalephe with adjacent words. We jointly provide an online vocabulary containing, for each word, information about its syllabification, the location of the tonic accent, and the aforementioned synalephe propensity, on the left and right sides. The algorithm is intrinsically nondeterministic, producing different possible syllabifications for each verse, with different likelihoods; metric constraints relative to accents on the 10th, 4th, and 6th syllables are used to further reduce the solution space. The most likely syllabification is hence returned as output. We believe that this work could be a major milestone for a lot of different investigations. From the point of view of digital humanities it opens new perspectives on computer-assisted analysis of digital sources, comprising automated detection of anomalous and problematic cases, metric clustering of verses and their categorization, or more foundational investigations addressing, e.g., the phonetic roles of consonants and vowels. From the point of view of text processing and deep learning, information about syllabification and the location of accents opens a wide range of exciting perspectives, from the possibility of automatic learning syllabification of words and verses to the improvement of generative models, aware of metric issues, and more respectful of the expected musicality.

scholarly journals Chiming In: A Computer-Assisted Analysis of Popular Musicians’ Political Engagement on Twitter

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110190
Author(s):  
Josephine Lukito ◽  
Luis Loya ◽  
Carlos Dávalos ◽  
Jianing Li ◽  
Chau Tong ◽  
...  
Keyword(s):  
Case Studies ◽  
Hip Hop ◽  
Political Engagement ◽  
Future Research ◽  
Computer Assisted ◽  
Christian Music ◽  
Political Issues ◽  
Qualitative Case Studies ◽  
Systematic Examination ◽  
Assisted Analysis

While music as an artistic form is well studied, the individuals behind the art receive relatively less attention. In this article, we provide evidence of celebrity advocacy with a systematic examination of musicians’ political engagement on Twitter. This study estimates the extent to which musicians use Twitter for political purposes, with particular attention to whether such engagement varies across music genres. Through a computational-assisted analysis of 2,286,434 tweets, we group 881 musicians into three categories of political engagement on Twitter: not engaged (comprising the majority of artists), circumstantial engagement, and active political engagement. We examine the latter categories in detail with two qualitative case studies. The findings indicate that musicians from different genres have distinct patterns of political engagement. The Christian music genre shows the most engagement as a whole, especially in philanthropy. On the contrary, the most active accounts are rock and hip-hop artists, some of whom discuss political issues and call for mobilization. We conclude with suggestions for future research.

Reactivation of Tritonated Models of Human Polymorphonuclear Leukocytes (PMNs): A Computer-Assisted Analysis

1985 ◽  
Vol 38 (2) ◽  
pp. 203-211 ◽  
Author(s):  
Anthony T.W. Cheung ◽  
Michael E. Miller ◽  
Richard M. Donovan ◽  
Elliot Goldstein ◽  
Gregory M. Kimura
Keyword(s):  
Polymorphonuclear Leukocytes ◽  
Computer Assisted ◽  
Human Polymorphonuclear Leukocytes ◽  
Assisted Analysis

Computer assisted analysis of 2-DG autoradiographs

1982 ◽  
Vol 6 (4) ◽  
pp. 409-420 ◽  
Author(s):  
C.R. Gallistel ◽  
C.T. Piner ◽  
T.O. Allen ◽  
N.T. Adler ◽  
E. Yadin ◽  
...  
Keyword(s):  
Computer Assisted ◽  
Assisted Analysis
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