Introduction to NLP

One of the main challenges of NLP is ________________.

• Handling Ambiguity of Sentences

• Handling Tokenization

• Handling POS-Tagging

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

• True

• False

Machine Translation converts ________________.

• Human language to machine language

• Any human language to English

• One human language to another

• Machine language to human language

Choose form the following areas where NLP can be useful.

• Information Retrieval

• Automatic Question-Answering Systems

• Market Basket Analysis

• Speech Recognition

• Automatic Text Summarization

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.

• Rooting

• Lemmatization

• Stemming

• Text-Proofing

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

• BeautifulSoup

• Seaborn

• NLTK

• Pandas

• Keras

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

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

• Lemmatization

• Tokenization

• Part-of-Speech (POS) tagging

• Stemming

SpaCy and NLTK are both open-source libraries for NLP in Python. Which is better in terms of implementation and performance for advanced NLP?

• NLTK
• Spacy

"John saw the man with the telescope" represents ambiguity at ___________ level?

• None

• Lexical

• Both

• Syntax