NLP

A vibrant and educational illustration depicting Natural Language Processing concepts, including text analysis, algorithms, and language patterns in a modern tech environment.

Explore the World of Natural Language Processing

Test your knowledge on Natural Language Processing (NLP) with our engaging quiz featuring 27 diverse questions. From essential concepts to advanced terminology, this quiz caters to enthusiasts seeking to enhance their understanding of NLP.

Key Features:

27 Thought-Provoking Questions
Multiple Choice Format
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Sharpen Your NLP Skills

27 Questions7 MinutesCreated by ConnectingBrain202

Every time I visit her, my gran ma cookies. Her --> Grandma

Named Entity Recognition

Coreference resolution

WSD

Discourse

The bank will not be accepting cash on Saturdays. " "The river overflowed the bank."

Named Entity Recognition

Morphology

WSD

Discourse

3rd of Dec. --> Third of December.

Normalization

Tokenization

Stemming and Lemalization

Pos

The process of reducing inflected

Stemming and Lemalization

Pos

Tokenization

Normalization

("the book on the table").("to book a flight"); book verb or noun?

Stemming and Lemalization

Pos

Tokenization

Normalization

Plump eye / plum pie

None of these

Morphology

Part of Speech

Phonetics and phonology

Creating systems that efficiently process texts and make their information accessible

NLP

Split text into words and sentences

Pos

Stemming and Lemalization

Tokenization

Normalization

Cut character sequence into word tokens

Tokenization

Normalization

Stemming and Lemalization

Pos

A metric used to measure the importance of a term in a text document collection is called

Document Frequency

C) Inverse Term Frequency.

Term Frequency

Inverse Document Frequency

"Mark Zuckerberg is one of the founders of Facebook "Person-: Mark Zuckerberg. "Company": Facebook

Discourse

Semantic analysis

Morphology

Named Entity Recognition

An inverted index arranges data in a sorted order as per

the term

The frequency of each term

The frequency of each document

The documents

Finding resources (of unstructured nature) that are relevant to an information need from a large collection of resources?

NLP

What is Morphological Segmentation?

None of these

Is an extension of propositional logic

Separate words into individual morphemes and identify the class of the morphemes

Does Discourse Analysis

Jack invited Mary to the ball. Ball??

Discourse

POS

Semantic

Synax

Recognizing and classifying the speech acts in a chunk of text

Discourse

Semantic analysis

Morphology

Named Entity Recognition

A delimited string of characters as it appears in the text

None of theses

Term

Token

Word

Eleminating from ("the-, "an", "so-, "what-)

Discourse

Semantic analysis

Morphology

Stopwords Removal

An instance of a word occurring in a document

None of theses

Term

Token

Word

A •normalized" word (case. morphology. spelling)

None of theses

Term

Word

Token

What is the main challenge of NLP?

Handling Tokenization

Handling POS-Tagging

Handling Ambiguity of Sentences

None of the above

Jaccard Similarity between "educative is the best platform out there." & "educative is a new platform."

0.444

0.333

0.777

None of the mentioned

England (Organization) won the 2019 world cup vs The 2019 world cup happened in England(Location).

Discourse

Semantic analysis

Morphology

Named Entity Recognition

. Attempts to answer the following question: What proportion of actual positives was identified correctly?.

Precision

Recall

is a bad idea for measuring the similarity between Query and

Cosine Similarity

B. Euclidean distance

C. Angle Similarity

D. None of the mentioned

("the book on the table"),("to book a flight"); book verb or noun?

POS

D. Stemming and Lemalization

B. Normalization

Tokenization

Is your hand apart or a part of the feelings of the rest of your arm? "

A. Phonetics and phonology

B. Part of Speech

Morphology

D. None of these

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