[Question] Predict labels given a translation

@BrikerMan I want to say thank you for developing this library and providing incredible support along with it. Kudos to you!

I want to create a model that will predict labels given a translation and its labels. For example:

# THREE INPUTS
这是一只狗和这是一只红猫
0 0 0 0 B-TERM1 0 0 0 0 0 B-TERM2 I-TERM2
This is a dog and that is a panda

#OUTPUT
0 0 0 B-TERM1 0 0 0 0 B-TERM2     (the labels for the English input sentence)

My question is do you think this is possible using your library if I customize my own multi-input model? And if so, do you have any tips/suggestions for me? It looks like I will mainly be using the Stacked Embedding feature and also referencing this article: https://kashgari.bmio.net/advance-use/multi-output-model/

[BrikerMan]

You need to convert those tokens to digits.

[BrikerMan]

Just make a label dict then convert label to numeric sequece.

eg:

dic = {
"O": 0,
"B-TERM1": 1,
"B-TERM2": 2,
"B-TERM3": 3,
"B-TERM4": 4,
}

This will work