escape-unk

Escape unknown symbols in SentecePiece vocabularies. This is particulary useful for MarianNMT toolkit which does not support replacing unknown tokens with most attentive word in the source (see here.

Install

Just install it from PyPi

pip install unescape-unk

Background

There are some scenarios where your machine translation model has to translate sentencences containing characters unknown for the SentencePiece vocabulary. Neural models usually start to hallucinate, throw out garbage or just don't know hot to translate when an unknown character comes to the input. In the cases where those characters simply need to be copied, escaping them to their hexadecimal representation, can be useful if the model manages to copy the escaped symbols.

Escape Chinese characters in an English-German vocabulary is just like:

echo "Beijing (Chinese: 北京) is the capital of the People's Republic of China" | escape-unk -m vocab.deen.spm

Beijing (Chinese: [[e58c97e4baac]]) is the capital of the People's Republic of China

or escaping emojis

echo "I ❤️ you" | escape-unk -m vocab.deen.spm

I [[e29da4efb88f]] you

So instead of:

echo "Beijing (Chinese: 北京) is the capital of the People's Republic of China" | marian-decoder -c model.config.yml

Peking (chinesisch: ) ist die Hauptstadt der Volksrepublik China

we will have:

echo "Beijing (Chinese: 北京) is the capital of the People's Republic of China" | escape-unk -m vocab.deen.spm | marian-decoder -c model.config.yml

Beijing (chinesisch: [[e58c97e4baac]]) ist die Hauptstadt der Volksrepublik China

and the full pipeline with unescape-unk:

echo "Beijing ..." | escape-unk -m vocab.deen.spm | marian-decode -c config.yml | unescape-unk

Beijing (chinesisch: 北京) ist die Hauptstadt der Volksrepublik China