LM has a lot of great applications in the NLP domain. Most NLP applications use LM at some point. Let's see them:
- Machine translation systems use LM to find out the probability for each of the translated sentences in order to decide which translated sentence is the best possible translation for the given input sentence
- To spell the correct application, we can use a bigram LM to provide the most likely word suggestion
- We can use LM for text summarization
- We can use LM in a question answering system to rank the answers as per their probability