There are several other applications of NLP; the following is a list of some of them:

• Detecting spam: The emails that we receive can be classified as spam or not spam.
• News classification: It can be useful to classify a news item based on several categories.
• Identifying the speakers, gender, or age: From a piece of text, the writer's gender and age can be detected. Similar attributes can be marked with voice data.

• Discovering topics: The topics of an article can be identified.
• Generating text: Text generated by machines has a lot of interesting applications.
• Finding duplicates: Skype has launched a live translation feature that involves speech to text, machine translation, and text-to-speech.
• Summarizing text: The summarization task takes a text as input and outputs a summary of that text. The summary is usually much shorter than the original text. For example, after a meeting, the transcript text can be summarized and sent to everyone.
• Comprehending paragraphs: Paragraph comprehension is the high school task of answering questions, with respect to a given piece of prose.
• Constituency parsing: Constituency parsing predicts a tree composition of a sentence into its constituents http://demo.allennlp.org/constituency-parsing.