As an example, the sentence „Ang ganda naman ang bahay ninyo, Tita.“<\/em> has every word categorized as a Proper Noun<\/strong>, which in turn completely messed up the dependency relations of the sentence. Even someone who doesn’t speak Tagalog should see that that’s probably not correct. As someone who knows some Tagalog (asks my mom what the sentences mean), I can confidently say that the program just labelled every unknown word as a proper noun and created a very random dependency relation.<\/p>\n\n\n\n As a visualization, I copied the sentence into an excel table with the annotations and dependency relations that the program provided. The yellow highlighted bit is my attempt at giving a slightly more correct version of the word categories with a rough translation. I did not attempt my own dependeny relations for lack of grammatical knowledge, but I would guess that it should look very different than the current one. <\/p>\n\n\n\n Either way i found it very interesting with how the program dealt with the sentences!<\/p>\n","protected":false},"excerpt":{"rendered":" Working with Google Collab to do the sentence annotations wasn’t so scary to me because I was already familiar with some coding\/programming and linguistics from my bachelor. However, I haven’t worked with both in combination like this before, so that … Weiterlesen ![\"\"](\"https:\/\/blogs.phil.hhu.de\/writingacrosslanguages\/files\/2024\/06\/sentence-example.png\")
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