NLP

What is the field of Natural Language Processing (NLP)?

• Computer Science

• Artificial Intelligence

• Linguistics

• All of the mentioned

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

• True

• False

One of the main challenges of NLP is _________________.

• Handling Ambiguity of Sentences

• Handling Tokenization

• Handling POS-Tagging

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

• True

• False

Choose form the following areas where NLP can be useful.

• Automatic Text Summarization

• Automatic Question-Answering Systems

• Information Retrieval

• Market Basket Analysis

• Speech Recognition

Machine Translation converts ________________.

• One human language to another

• Human language to machine language

• Any human language to English

• Machine language to human language

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.

• Stemming

• Rooting

• Text-Proofing

• Lemmatization

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

• Keras

• NLTK

• Pandas

• Seaborn

• BeautifulSoup

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.

• True

• False

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.

• True

• False