Web UI for pre-trained Chinese vectors

[ines (Ines Montani)]

@ajay960singh

/home/prodigy/pgy-env/bin/prodigy: line 1: 20829 Segmentation fault (core dumped) python -m prodigy "$@"

That definitely indicates some problem. Could you run pip list and check which versions of spaCy, Thinc and Prodigy you're running?

@ajay960singh

Another thing is , my word vector consists of majority of Chinese words and a few English words, do you think that’s fine?

That should be fine. Can you double-check that those words were also added to the model's vocabulary? See this post for more details:

Bad results with terms.teach

To find other terms , the terms.teach recipe will iterate over the entries in the model’s vocab. So maybe your custom model doesn’t actually have the words present in its vocabulary? This would explain why the only terms you see are the seed terms (which were added to the target Doc and are then part of the vocab) and why it works when you use the model manually (because words you process are then added to the vocabulary). You can test this by looking at len(nlp.vocab) – the number should be r…