As a follow-up to our last post, I thought I would add some advice for reading articles and books. Reading scholarly work is a deceptively difficult academic task. You already know how to read; if you’re in grad school, you’ve probably been reading books for about 15 years! But academic work, even when it’s well-written, is a different sort of reading.
Now that school is starting up again, we’re revisiting a few of the study skills you may have forgotten. First up is note-taking: what’s the best and most effective way to take notes? It turns out that there are several (and some are even backed up by science!). This week, we focus on in-class note-taking. Next time, we’ll move to books and articles.
We’ve had a few posts on how important your dictionary skills are to your language success, and we’ve even told you some of our favorite Latin and Greek dictionaries. But there’s another trick to mastering the dictionary, and that is to figure out its abbreviation system. Abbreviations provide important information, especially about verbs, but that information is provided in a sort of secret code. It’s not consistent between dictionaries, and sometimes not even within the same dictionary, but it’s worth learning some of the most common abbreviations. Yes, every dictionary will give them to you at the front — but do you really want a dictionary for your dictionary? I didn’t think so.
We’re off this week to prepare for classes, research, and of course more blog posts. Check back next week for more tutorials aimed at beginning language students!
In my last post, I covered the basics of the New TLG’s Statistics tool. I focused mainly on the author vs. full-corpus statistics. In this post, I finish up with an overview of the remaining information in the author search and delve into the final search option: the lemma statistics.
In my last few posts on the New TLG, I’ve mostly covered old tools that have been updated. In this one and the next, I’m going to tackle the TLG’s new statistical analysis tools. If you’re looking for pretty graphs, those will be in the next post. If, on the other hand, you like highlighting, this post is for you! Continue reading