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

2. What is syntactic parsing in computational linguistics?

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

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

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

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

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

5. What is disambiguation in computational linguistics?

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

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

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

7. What is lemmatization in computational linguistics?

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

8. What is a corpus in computational linguistics?

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

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

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

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