Computational linguistics

1. Computational linguistics is an interdisciplinary field that combines linguistics, computer science, and artificial intelligence to analyze, model, and process natural language data. It focuses on developing algorithms and models to understand and generate human language using computers. Computational linguists work on various tasks such as natural language processing, machine translation, sentiment analysis, speech recognition, and information retrieval. By studying the underlying structures and patterns of language, computational linguistics helps improve communication between humans and machines, enabling applications such as language understanding, chatbots, and automated translation services.

Which of the following is a common application of computational linguistics?

A) Graphic design
B) Chemical analysis
C) Machine translation
D) Civil engineering

2. What is syntactic parsing in computational linguistics?

A) Analyzing the grammatical structure of a sentence
B) Studying the historical development of languages
C) Detecting emotions in text
D) Creating new languages from scratch

3. What is meant by the term 'NLP' in computational linguistics?

A) Natural Language Processing
B) New Language Patterns
C) Neural Linguistic Programming
D) Numeric Language Processing

4. What is an example of a commonly used parser in computational linguistics?

A) Stanford Parser
B) Microsoft Excel
C) Google Chrome
D) Adobe Photoshop

5. What is disambiguation in computational linguistics?

A) Transliterating text between different scripts
B) Encrypting text for security purposes
C) Resolving the meaning of a word with multiple possible interpretations in context
D) Creating ambiguous language constructs

6. What is syntax in the context of computational linguistics?

A) The process of identifying word meanings
B) The rules for combining words into grammatically correct sentences
C) The analysis of regional dialects
D) The study of ancient languages

7. What is lemmatization in computational linguistics?

A) Expanding contractions
B) Reducing words to their base or root form
C) Adding suffixes to words
D) Concatenating multiple words into one

8. What is a corpus in computational linguistics?

A) A financial transaction record
B) A collection of text for linguistic analysis
C) A musical composition
D) A type of data encryption

9. What is the significance of named entity recognition in computational linguistics?

A) Identifying incorrect grammar usage
B) Classifying animals based on their names
C) Generating fictional character names
D) Helps in extracting valuable information from text

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