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

2. What is syntactic parsing in computational linguistics?

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

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

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

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

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

5. What is disambiguation in computational linguistics?

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

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

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

7. What is lemmatization in computational linguistics?

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

8. What is a corpus in computational linguistics?

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

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

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

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