Derivational Relations in Arabic WordNet
What it is about
The Arabic WordNet has many synsets but few cross-POS links between words that share a root, such as a verb and its agent noun. The authors group the entries by root into "bags of words" (the paper reports 6,608 bags and works with 5,462 of them), then apply transformation rules keyed on the verb class and the pattern, and add the derivational relation each rule licenses. A lexicographer checks the rules and the output; no automatic validation is used. The bags containing verbs (4,275) are sorted by verb form. The method adds 8,865 new relations to the existing set, giving 50,001 in all. The paper reports no precision or recall figure, only the lexicographer check.
Ideas
- I1. Root bags as a first step: group the entries of
macula dictby root. The dictionary has lemmas and Strong's numbers but no roots yet, so a root source comes first. Measure how many bags contain more than one POS. - I2. A verb-class key for the rules: the paper's derived nouns depend on the verb form. For Hebrew, key the rule on the binyan (qal, niphal, piel, hiphil, hitpael) and derive the noun or adjective form from it, as a table in The verb.
- I3. A sampled-precision check: draw a fixed random sample of any new links, check each by hand, and report the rate with its date, before any added relation enters
worldor the dictionary.
For Mova
I1 goes into tools/macula (the dictionary and its roots) and The lexicon. I2 goes into The verb and the lexicon. I3 is a test to run before any derived relation is used. Arabic is not a Mova target language; the rule design (root bags, class-keyed rules, a sampled check) is what carries over.
Cite
@inproceedings{batita2018derivational,
title = {{Derivational Relations in Arabic WordNet}},
author = {Batita, Mohamed Ali and Zrigui, Mounir},
booktitle = {Proceedings of the 9th Global Wordnet Conference},
year = {2018},
doi = {10.18653/v1/2018.gwc-1.16},
url = {https://doi.org/10.18653/v1/2018.gwc-1.16}
}References
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