Text Analysis - 7 - Computational Linguistics

What is the primary goal of computational linguistics?

• • To study phonetics in natural languages

• • To develop computer programs that process human language

• • To preserve ancient languages

• 1. To improve human memorization techniques

Which field of study is not directly related to computational linguistics?

• • Artificial Intelligence

• • Machine Learning

• • Quantum Mechanics

• Linguistics

In computational linguistics, which process involves breaking down text into words, phrases, or sentences?

• Tokenization

• Morphology

• Parsing

• Pragmatics

Which algorithm is commonly used for machine translation?

• • Naive Bayes

• • Decision Trees

• • Recurrent Neural Networks (RNNs)

• 1. Support Vector Machines (SVMs)

What is the primary function of a Part-of-Speech (POS) tagger?

• • To detect the language of a text

• • To identify the syntactic roles of words in a sentence

• • To translate text from one language to another

• 1. To remove punctuation from text

Which method is used for reducing words to their base or root form?

• Parsing

• • Lemmatization

• • Named Entity Recognition

• 1. Speech Synthesis

Which type of neural network is often used in language models due to its ability to process sequential data?

• • Convolutional Neural Network (CNN)

• • Feedforward Neural Network

• • Recurrent Neural Network (RNN)

• 1. Hopfield Network

What is the purpose of Named Entity Recognition (NER) in natural language processing?

• • To identify important dates in text

• • To extract specific entities like names, locations, or organizations from text

• • To predict future text input

• 1. To generate summaries of long documents

What is Word2Vec commonly used for?

• • Generating human-like responses in chatbots

• • Converting words into vector representations based on their context

• • Translating text from one language to another

• 1. Analyzing syntax in sentences