- "Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions."
The use of computers to analyze and model human language, including natural language processing and machine translation.
Linguistics: The study of language and its structure, including syntax, semantics, phonology, and morphology.
Computer Science: The study of computation and algorithms, including programming languages, data structures, and databases.
Machine Learning: The study of algorithms that enable computers to learn patterns and make predictions from data.
Natural Language Processing (NLP): The study of computational methods for analyzing and manipulating human language, including text processing, speech recognition, and machine translation.
Artificial Intelligence (AI): The study of machines that can perform tasks that would ordinarily require human intelligence, including cognitive modeling and reasoning.
Evolutionary Biology: The study of the origin and evolution of species, including genetics, natural selection, and adaptation.
Cognitive Science: The study of the brain and its computational processes, including perception, memory, and language.
Statistics: The study of mathematical methods for collecting, analyzing, and interpreting data.
Information Theory: The study of how information is created, transmitted, and processed, including entropy, compression, and error correction.
Corpus Linguistics: The study of language as it is used in real-life contexts by collecting and analyzing large amounts of textual data.
Semiotics: The study of signs and symbols, including how they are used in language and communication.
Psycholinguistics: The study of how people learn, use, and comprehend language, including language acquisition and language processing.
Linguistic Anthropology: The study of how language interacts with culture and society, including language variation and change.
Computational Neuroscience: The study of how the brain processes information and generates behavior, including neural networks and cognitive architectures.
Algorithmic Game Theory: The study of how rational agents interact in a strategic environment, including game theory and mechanism design.
Natural Language Processing (NLP): The study of how computers can be used to process and analyze natural language data, such as text or speech.
Machine Translation: The study of how to translate between languages using computers.
Speech Recognition and Synthesis: The study of how computers can recognize and produce human speech.
Computational Semantics: The study of how meaning can be represented and processed in computational systems.
Computational Pragmatics: The study of how meaning can be derived from context in computational systems.
Corpus Linguistics: The study of how to analyze large collections of linguistic data, such as text corpora.
Computational Morphology: The study of how to analyze the structure of words in computational systems.
Computational Syntax: The study of how to analyze the structure of sentences in computational systems.
Computational Phonology: The study of how to analyze the sound patterns of language in computational systems.
Sentiment Analysis: The study of how to analyze the attitudes and emotions expressed in natural language text.
Text Mining: The study of how to extract useful information from large amounts of natural language text.
Information Extraction: The study of how to identify and extract specific pieces of information from natural language text.
Question Answering: The study of how to automatically provide answers to questions posed in natural language.
Language Generation: The study of how to automatically generate natural language text, such as for chatbots or automated writing systems.
Discourse Analysis: The study of how language is used in longer, coherent pieces of text, such as conversations or written documents.
- "Computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology and neuroscience, among others."
- "Since the 2020s, computational linguistics has become a near-synonym of either natural language processing or language technology."
- "Deep learning approaches, such as large language models, outperform the specific approaches previously used in the field."
- "Computational linguistics is concerned with the computational modelling of natural language."
- "Linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology, and neuroscience."
- "Computational approaches are studied to find appropriate solutions to linguistic questions."
- "Computational linguistics draws upon linguistics, computer science, and artificial intelligence."
- "Cognitive science, cognitive psychology, and psycholinguistics."
- "Philosophy is one of the disciplines that computational linguistics draws upon."
- "Deep learning approaches, such as large language models, outperform the specific approaches previously used in the field."
- "Since the 2020s, computational linguistics has become a near-synonym of either natural language processing or language technology."
- "Computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology, and neuroscience."
- "Computational linguistics draws upon... neuroscience."
- No direct quote provided.
- "Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language."
- "Deep learning approaches, such as large language models, outperform the specific approaches previously used in the field."
- No direct quote provided.
- "Computational linguistics is concerned with the computational modelling of natural language."
- "Since the 2020s, computational linguistics has become a near-synonym of either natural language processing or language technology, with deep learning approaches, such as large language models, outperforming the specific approaches previously used in the field."