Open gifdog97 opened 2 years ago
Is it possible to predict multi-word expression (MWE) from raw text? I run predict.py with option --raw_text to find that MWE cannot be predicted.
predict.py
--raw_text
For example, in Italy, "della" is abbreviation of "di la" and UD annotates such token like as follows:
31-32 della _ _ _ _ _ _ _ _ 31 di di ADP E _ 35 case 35:case _ 32 la il DET RD Definite=Def|Gender=Fem|Number=Sing|PronType=Art 35 det 35:det _
However, the output of UDify is something like this:
31 della della ADP _ _ 3 case _ _
I hope to obtain the conllu output with proper MWE. Are there any way to realize it?
Is it possible to predict multi-word expression (MWE) from raw text? I run
predict.py
with option--raw_text
to find that MWE cannot be predicted.For example, in Italy, "della" is abbreviation of "di la" and UD annotates such token like as follows:
However, the output of UDify is something like this:
I hope to obtain the conllu output with proper MWE. Are there any way to realize it?