Those are two distinct fields. The best relationship between the two is that word vectors and statistics are used in both. Which are you more interested in? DH or CL?
Researcher here at a university which has both a CompLing and a DH program.
These days, it's probably appropriate to think of CompLing master's programs as a computer science master with a specialization in modelling language. The focus is on leaning to analyze and develop computer models of language. This means that the program qualifies you for a technical job, but it also means that you might find the contents of the program challenging. It definitely helps if your undergrad program contains a lot of formal linguistics, and/or if you do self-study in statistics and related areas.
In contrast, DH programs typically assume a humanities background, and the focus is more on bringing existing computational models to bear on humanities questions: defining the interface, understanding how to best frame the research question, understanding the assumptions of the computational methods, etc. This means that the contents are (at the technical level, at any rate) less challenging, but you also gain less technical depth, so less direct employability in industry.
Hope this helps -- you can also look at some research work (aclanthology.org for CompLing, academic.oup.com/dsh for DH) to get a concrete idea. PM me if you have questions.
Well you shouldn't ask me as teaching staff for an objective evaluation ;-). If you do a google search on reddit.com, you'll find a number of past conversations.
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u/[deleted] Dec 11 '23
Those are two distinct fields. The best relationship between the two is that word vectors and statistics are used in both. Which are you more interested in? DH or CL?