- "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."
It is an interdisciplinary field concerned with the development of algorithms and computational models for analyzing natural language data.
Linguistics: The study of language and its structure, including phonetics, phonology, morphology, syntax, and semantics.
Computer Science: The study of computers and computational systems, including algorithms, data structures, programming languages, and software engineering.
Natural Language Processing (NLP): The development of computer algorithms that can understand and generate human language.
Machine Learning: The study of algorithms and statistical models that enable computers to improve their performance on a specific task with experience.
Artificial Intelligence (AI): The development of intelligent machines that can perform tasks requiring human-like intelligence, such as perception, reasoning, learning, and decision-making.
Information Retrieval: The process of retrieving relevant information from a large collection of text documents, such as web search engines.
Text Mining: The process of extracting useful information from unstructured or semi-structured text data, such as sentiment analysis, topic modeling, and named entity recognition.
Corpus Linguistics: The analysis of large collections of text data, known as corpora, to study language patterns and usage.
Computational Semantics: The study of how computers can represent, understand, and generate meaning in natural language.
Discourse Analysis: The study of how language is used to communicate meaning beyond the sentence level, including discourse structure, coherence, and cohesion.
Speech Recognition: The process of transcribing spoken language into text, using techniques such as acoustic modeling, language modeling, and hidden Markov models.
Speech Synthesis: The process of generating spoken language from text, using techniques such as text-to-speech synthesis and voice cloning.
Multilingual Processing: The study of how computers can process and generate multiple languages.
Psycholinguistics: The study of how people acquire, process, and produce language, and how this knowledge can be integrated into computational linguistics systems.
User Interface Design: The design of user interfaces that enable humans to interact with computers in a natural language environment, such as intelligent assistants and chatbots.
Corpus Linguistics: It is the study of large collections of texts to understand the patterns and structures of language use.
Natural language generation: It is the process of creating natural and meaningful language from structured data.
Machine Translation: It involves automatic translation of text written in one language to another language using computer algorithms.
Sentiment Analysis: It is the study of opinions, sentiments, and attitudes expressed in text.
Speech recognition: It is the process of recognizing spoken words and converting them into written text.
Information retrieval: It is the process of searching and retrieving relevant information from large collections of digital data.
Natural Language Understanding: It is the process of enabling computers to understand the meaning of human language.
Text classification: It is the task of automatically categorizing text documents into predefined categories based on their content.
Text mining: It is the process of extracting valuable insights from large text datasets.
Text-to-speech: It is the process of converting written text into spoken words.
- "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."