- "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 application of computational techniques to the study of language, including natural language processing, machine translation, and speech recognition.
Phonetics and Phonology: The study of speech sounds and their characteristics in language. This includes the production, perception and classification of sounds, as well as the rules governing their use within a language.
Morphology: The study of the internal structure of words and how they are formed from smaller units known as morphemes.
Syntax: The study of the structure and organization of sentences and phrases in language, including the rules for forming and combining them.
Semantics: The study of meaning in language, including how words and phrases are used to convey meaning and how they relate to one another.
Pragmatics: The study of how language is used in context, including the social and cultural factors that influence communication.
Corpus Linguistics: The study of large collections of text or speech data, with the aim of uncovering patterns and regularities in language use.
Machine Learning: Techniques for developing algorithms that can learn from data, including supervised and unsupervised learning, deep learning and neural networks.
Natural Language Processing (NLP): The use of computer algorithms and mathematical models to analyze, understand and generate human language.
Computational Modeling: The use of computer simulations and models to represent language and the cognitive processes involved in language use.
Linguistic Data Science: The application of data science techniques and methods to linguistic data, with the aim of gaining insights into language use and improving NLP algorithms.
Natural Language Processing (NLP): It is a branch of AI that deals with the interaction between humans and computers using natural language.
Automated Translation: It involves the use of algorithms to translate from one language to another automatically.
Text-to-speech (TTS): It involves the conversion of written text into spoken words using computational algorithms.
Speech-to-Text (STT): It involves the conversion of spoken words into written text using computational algorithms.
Sentiment Analysis: It involves the use of algorithms to identify and analyze the emotions and opinions present in a given text.
Language Generation: It involves the use of computational algorithms to generate written or spoken language.
Text Summarization: It involves the use of computational algorithms to summarize large volumes of text into shorter, more concise versions.
Named-entity recognition (NER): It is a subfield of information extraction that seeks to locate and classify named entities mentioned in unstructured text.
Part-of-speech tagging (POS): It is a process of marking up a word in a text (corpus) as corresponding to a particular part of speech.
Information Retrieval: It deals with the search and retrieval of relevant information from unstructured data, such as documents and texts.
- "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."