Martin Ruskov @mapto@social.cleverlibre.org

At the University of Milan we are seeking a research fellow to participate in the “MetaLing Corpus: Creating a corpus of English linguistics metalanguage from the 16th to the 18th century” project:
https://expertise.unimi.it/resource/project/PRIN202223AANDR%5F01

Through archival research and corpus compilation, the project aims to assess the genres and text-types involved in the circulation of linguistic knowledge, and to throw light onto unconventional texts and voices besides the major works and figures on which scholarship has naturally concentrated. The project is divided into three phases 1) collection of texts, 2) building the corpus, 3) lexical extraction and database creation, combining human and computational tools. The core part of our study will involve the analysis of the terminology, discursive strategies and descriptive metaphors used to describe and compare languages in English, in diachronic perspective.

The successful applicant will work with the project team to identify relevant primary materials and build an electronic corpus of texts. The post is for someone with a postgraduate degree in Linguistics, English, Computer Science or related discipline. Candidates may or may not have a doctorate at the time of application. The researcher will have the opportunity to contribute to the project database, work in archives, and develop academic writing in individual and joint papers.

Post: Postdoctoral research fellow, Early stage researcher or 0-4 yrs (Post graduate)
Location: Milan (on-site)
Duration: 18 months, fixed-term/contract
Salary: EUR 21,888 per annum
Closes: 4th January 2024
Interview date: 16th January 2024

Full details and instructions on how to apply: https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-
ricerca-da-noi/assegni-e-borse/bandi-assegni-di-ricerca/bando-di-tipo-b-dottssa-andreani-id-6082

We'd appreciate if you boost or forward to any potentially interested candidates. In case of questions or difficulties with understanding Italian (language or bureaucracy), do get in touch with me or the provided contacts. Further details in the attached file.

@histodons #literature #history #postdoc

Now listening to @andreskarjus on #cudan2023 via https://www.youtube.com/watch?v=TZAKyrobWGk

He's presenting his broad range of SotA studies on ChatGPT with preprint available at https://arxiv.org/abs/2309.14379

To me it feels so upsetting to see so many people looking for ways to block Threads now from the start

Търсят се доброволци за превод на свободен софтуер #бгмастодон #бгфеди

Sorry, that was incorrect. Pratolini is not the only one with two publishers in the UK, but the only one who has two publishers repeatedly translating works of his

Finally, here's the full text. It has more context and examples. We'd love a discussion beyond the one after the presentation https://ceur-ws.org/Vol-3558/paper774.pdf

A note on visualisation. For no good reason a majority of visualisation tools cannot handle categorical dimensions. Probably they can't be bothered with explicitly having to specify an order of the visualisation dimension. This is only one of the reasons we found tools like Excel fast, but too limited to be useful. Programmable tools like ggplot or bokeh are more powerful, but iterations take too long to visualise and that slows down the exploration process. We've found #RAWgraphs a great solution for two reasons. First, it allows categorical dimensions in the charts we used, and second, it allows SVG export for post-processing. So shout out to https://www.rawgraphs.io/

Finally, after a first exploration, one might feel ready to see the big picture, i.e. fusion. Of course after that one might tbacktrack to drill back into particular values.

One way to show multidimensional (nominal data, except for years) that we've found useful is the following graph. But more generally we need visualisation techniques that allow for multidimensional nominal data. For two dimensions heatmaps could be a good candidate. It gets more complicated with more dimensions. Alluvial diagrams could turn handy here

The second pattern is generalisation. It says we should fix our dimension of interest and and vary anything independent of it. We do this by focusing on individual authors and looking of other dimensions (e.g. the interplay between Italian and UK publishers). In the example here, we consider Vasco Pratolini who is the only author from the above graph that has more than one publisher in both countries. Of course this graph is just a start of an enquiry as to why this occurs. In our case we actually had to look into the archives of publisher exchange to get an understanding, but that's beyond the topic here.

PS: Sorry for the transparent backgrounds of images that don't work well on dark app themes. The graphs can be seen better in the paper which is at the end of this thread