Natural Language Processing

FREE Natural Language Processing (Artificial Intelligence) Questions and Answers

Machine learning, particularly statistical machine learning, is the foundation of contemporary NLP algorithms.

TRUE

FALSE

Correct! Wrong!

How does machine translation work?

Converts human language to machine language

Converts one human language to another

Converts Machine language to human language

Converts any human language to English

Correct! Wrong!

Explanation:
Google Translator is the most well-known example of machine translation.

Which of the following lists the main NLP tasks?

Machine Translation

Automatic Summarization

All of the mentioned

Discourse Analysis

Correct! Wrong!

Explanation:
The list of NLP tasks is even longer.

Finding "bridging relationships" involving referring phrases is part of the broader coreference resolution problem.

TRUE

FALSE

Correct! Wrong!

Explanation:
Refer to the Coreference Resolution definition.

Coreference Resolution: What is it?

Given a sentence or larger chunk of text, determine which words ("mentions") refer to the same objects ("entities")

Anaphora Resolution

None of the mentioned

All of the mentioned

Correct! Wrong!

Explanation:
A particular kind of coreference resolution is anaphora resolution.

Morphological segmentation: What is it?

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

Does Discourse Analysis

None of the mentioned

Is an extension of propositional logic

Correct! Wrong!

Explanation:
Morphological segmentation is a process in natural language processing that involves breaking down a word into its morphemes and identifying the class of each morpheme. Morphemes are the smallest units of meaning in a language and can be combined to form words. By segmenting words into their component morphemes, one can gain insight into the word's purpose and how it is used in the language. This can be useful in various NLP applications, such as machine translation, text-to-speech conversion, and language learning.

Pick one of the following applications for NLP.

Automatic Question-Answering Systems

Information Retrieval

Choose form the following areas where NLP can be useful

Automatic Text Summarization

All of the mentioned

Correct! Wrong!

FREE Natural Language Processing (Artificial Intelligence) Questions and Answers

Machine learning, particularly statistical machine learning, is the foundation of contemporary NLP algorithms.

How does machine translation work?

Which of the following lists the main NLP tasks?

Finding "bridging relationships" involving referring phrases is part of the broader coreference resolution problem.

Coreference Resolution: What is it?

Morphological segmentation: What is it?

Pick one of the following applications for NLP.

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