Automatic Extraction of Collocations
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Sciences
Abstract
Collocational knowledge is necessary for language generation. The challenge is that
collocations can take on a wide range of shapes. They could involve two, three, or
more words, words from various syntactic categories, and more flexible or more strict
word arrangements.. This thesis describes the procedures involving in creating a
dedicated platform for the linguists and every person who is in a need for
collocations, which address the problem of finding the most advantageous word that
help him make better sentences for his contexts by filtering large corpora in 13
different language and extract best results