✔️Contextual word checker for better suggestions (not actively maintained)

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

Goodness of Pronunciation Pipelines for OOV Removal

Address the out-of-vocabulary (OOV) problem in sequence labeling

Calculates emission, transition, and OOV frequencies for documents given a training dataset. From my undergraduate NLP class at NYU.

Learn OOV inference ability from word embedding vector

In this project, the authors propose to use contextual Word2Vec model for understanding OOV (out of vocabulary). The OOV is extracted by using left-right entropy and point information entropy. They choose to use Word2Vec to construct the word vector space and CBOW (continuous bag of words) to obtain the contextual information of the words.

Dealing with OOV words in RNN networks. here using neural net (LSTM), we can produce embedding gor unknown words using context window