Working with Terms. Course 3 – Cleaning, Preparing and Importing

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After you run a term extraction tool, you are presented with a list of term candidates. We call them term candidates, not terms, because we have to decide if they are going to be useful to us or not — we have to decide if they are terms for the purposes of our work. Some of these candidates will not be useuful or interesting for a termbase. Those unwanted candidates should be removed from the list before you import the terms to the termbase. Because they are not wanted, they are referred to as noise.

The noise can be addressed by “cleaning” the raw output of a term extraction tool.

The opposite problem, i.e. the interesting terms that for some reason were not picked up by the term extraction tool, those are appropriately referred to as silence. That problem is more difficult to address because it involves terms that we cannot “see” in the output of a term extraction tool. One way to address some of the silence involves using a process that involves searching for salient unigrams (i.e. keywords) in the corpus in order to identify multi-word terms that contain those keywords. You can use Wordsmith to carry out this process. This process is out of scope of the current course. If you are interested in learning more about this, send an enquiry to Kara.

While silence is more difficult to address, it is at the same time a more serious problem than noise, since having unnecessary terms in your termbase has less of an impact on its use and benefits than when important terms are missing.

In this course, we will combine the raw output of soccer terms from TermoStat and from Sketch Engine, and then remove the noise. We will finish by importing the file into our Sports termbase. At the end of the course, you will complete a quiz to test your knowledge.

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