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Generally this project should consist of two parts:
In the first part, a reliable collection of corpus date containing German support verb constructions (SVC) will be gathered.
The second part will research the context embedding of these constructions.
In temporary plan the project will follow these steps:
Part 1: Data collection
Find a reliable list of German SVCs and process the text to a format suitable for CQP query.
Install the cwb-ccc to carry out systematical queries, since CQP Web is less suitable for automatic queries.
Conduct the "transformation test" to find out its validity for finding out German SVCs. Since most SVCs contain a preposition, a verbal noun and a function verb, I will design queries in this pattern and compare the result with the available list of SVCs. To identify the verbal nouns, I will write a small program basing on the morphological regulations, which compares the candidates with infinitive verbs.
Gather texts with German SVCs and texts for the comparing group, in which the same verbs are used as full verbs.
Part 2: Research the embedding
Fit different context embedding models to the texts and save the embedding layers.
Conduct statistical analysis to the embedding of the functions verbs.
The text was updated successfully, but these errors were encountered:
Generally this project should consist of two parts:
In the first part, a reliable collection of corpus date containing German support verb constructions (SVC) will be gathered.
The second part will research the context embedding of these constructions.
In temporary plan the project will follow these steps:
Part 1: Data collection
Part 2: Research the embedding
The text was updated successfully, but these errors were encountered: