The ACL anthology “currently hosts 63797 papers on the study of computational linguistics and natural language processing.” A lot of subjects covered. No immediate search interface but you can the full anthology as BibTeX (only 5.35MB) and search that — if you throw in abstracts, it’s only 13MB.
Julia Flanders and Fotis Jannidis. 2018. The Shape of Data in Digital Humanities: Modeling Texts and Text-based Resources. Routledge.
Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.
For those of you thinking “Oh, no, Routledge. I can’t afford it. You are correct.” This was not the promise the internet made to knowledge distribution.
If you are interested in the digital humanities and don’t know where to start, you could do far worse than to browse the possibilities on TAPoR (Text Analysis Portal for Research), which offers 912 possible resources.
Occasionally, a colleague or student wants to learn more about the digital humanities. Here is a list of texts/sites/journals that are worth their consideration.
Literary Studies in the Digital Age: An Evolving Anthology is “published by the Modern Language Association of America. It is the MLAs first born-digital, publicly available anthology. It launched in 2013 and continues to grow. The editors welcome new submissions that will expand the breadth and depth of the collection, including pieces that offer primers on topics, tools, and techniques pertinent to computational approaches in literary studies as well as essays that deepen or nuance topics already covered in the volume.” Some of these essays are the de facto standard introductions to various dimensions of the digital humanities. They aren’t necessarily my favorites or even the best, but they do fall under the category of “everyone at least claims to have read them.”
Digital Humanities Spotlight: 7 Important Digitization Projects includes Mapping the Republic of Letters, London Lives, Charles Darwins Library, the Salem Witch Trials Documentary Archive and Transcription Project, The Newton Project, and Quijote Interactivo. This is an interesting collection of some of the more polished sites that are also publicly accessible.
DHQ: _Digital Humanities Quarterly.
DSH Digital Scholarship in the Humanities — the journal formerly known as LLC, _Literary and Linguistic Computing.
Patrick Juola and Stephen Ramsay announceed the publication of their new book, Six Septembers, though Zea Books, The University of Nebraska-Lincoln’s digital imprint. More than ten years in development, this book provides a broad conceptual introduction to the fundamentals of the mathematics that digital humanists are likely to encounter and to support high-level understanding of a variety of key mathematical ideas. The book is freely available under a Creative Commons CC-BY license, and can be downloaded from here.
Kudos to James O’Sullivan for a title so great I want to steal it: Cultural Mechanics is his podcast focusing on a really diverse range of digital humanities and digital arts topics. (Right now I would say it’s more digital arts in nature, but that may not be his overall focus.) Here it is on SoundCloud.
One of the things that interests me is all the ways that “statistical analysis” can be defined, even within the confines of a relatively nascent domain like text analytics. Of course, being nascent also means that things are not yet defined. Moreover, as a domain, text analytics is emerging at the intersection of a number of fields. Some of the differences about assumptions of what were the applicable dimensions of statistics, let alone mathematics, were quite striking at this year’s Culture Analytics program at UCLA’s Institute for Pure and Applied Mathematics.
Below is a recent request posted on The Humanist that I am capturing here as another entry in this area:
The work will involve investigating the temporal relationships between
spoken and gesture events, so experience with methods for conducting
statistical analysis (correlation, t-test, anova, hypothesis testing) are expected.
In addition, the preferred workflow is as follows:
Ideally, the work will be done in Python (ideally using pandas), but if people prefer using R, I’d be happy to hear from them.
I can’t, frustratingly, find the tweet now that brought this to my attention, but the Sherman Center at McMaster’s University has a nice collection of workflows that look really useful.
If you’re interested in the digital humanities, then you should know that a whole lot of it is available for free, including the stalwart A Companion to the Digital Humanities.
The University of Guelph, in Ontario, Canada, is hosting a collection of workshops May 9-12. A lot happens in those 3 to 4 days:
- Getting Going with Omeka with
Lisa Cox, Adam Doan, Melissa McAfee, Catharine Wilson.
- You’ve Got Data!: Introduction to Data Wrangling for Digital Humanities Projects with Paige Morgan.
- Text Encoding Fundamentals and Their Application with Jason Boyd.
- Minimal Computing for Digital Humanists with Kim Martin and John Fink.
- 3D Modelling for the Digital Humanities and Social Sciences_ with
- Spatial Humanities: Exploring Opportunities in the Humanities Jennifer Marvin and Quin Shirk-Luckett.
- Online Collaborative Scholarship: Principles and Practicies (A CWRCshop) with Susan Brown, Mihaela Ilovan, and Leslie Allin.
Full details are here.