NLP is concerned with the interactions between computers and human (natural) languages.

One of the main challenges of NLP is _________________.

Modern NLP algorithms are based on machine learning, especially statistical machine learning.

Choose form the following areas where NLP can be useful.

Machine Translation converts ________________.

In linguistic morphology, _____________ is the process of reducing inflection in words to their root forms such as mapping a group of words to the same stem even if the stem itself is not a valid word in the language.

____________ is a Python library to make programs that work with natural language.

Stop Words are words which do not contain important significance to be used in Search Queries. Usually, these words are filtered out from search queries because they return a vast amount of unnecessary information. Mostly they are words that are commonly used in English language such as 'as, the, be, are' etc.

Lemmatization, unlike Stemming, reduces the inflected words properly ensuring that the root word is the dictionary form. For example, runs, running, ran are all forms of the word run.

The picture shows ____________.

if speed is focused, then _______ should be used since ________ scans a WordNet corpus and a corpus for stop words as well as requires you to define a parts-of-speech to produce root forms of words which consumes time and processing. If you are building a language application in which language is important, you should use _______ as it uses a corpus to match root forms.

__________is breaking a text chunk into smaller parts. E.g., breaking a paragraph into sentences, sentence into words or word into characters.

SpaCy and NLTK are both open-source libraries for NLP in Python. ______is better than ______ in terms of implementation and performance for advanced NLP.