"Language technology, often called human language technology (HLT), studies methods of how computer programs or electronic devices can analyze, produce, modify or respond to human texts and speech."
The intersection of language and technology, including the development of language technology and its impact on communication.
Anthropology of Communication: This topic examines how humans communicate and interact with one another through various forms of language and technology. It looks at the social and cultural aspects of verbal and nonverbal communication and how they shape our understanding of the world around us.
Computational Linguistics: This is the study of how computers process natural language texts and how computers can be programmed to understand and generate human language. It applies linguistic theories and computer science principles to develop language technologies such as speech recognition, machine translation, and text-to-speech synthesis.
Human-Computer Interaction: This area looks at how people interact with computers and other digital devices, particularly how they use natural language to communicate with machines. It explores the design and usability of software applications, websites, and interfaces that facilitate communication between humans and machines.
Language Acquisition: This field of study investigates how humans acquire language and how the brain processes and stores linguistic information. It examines the role of nature and nurture in language development, as well as the different stages of language acquisition.
Linguistic Anthropology: This topic explores the relationship between language and culture, how they inform and shape each other. It looks at linguistic structures in social contexts, including how language is used to express identity, power, and authority.
Natural Language Processing: This is an interdisciplinary field that combines linguistics, computer science, and artificial intelligence to enable computers to understand, analyze, and generate human language. It involves tasks such as part-of-speech tagging, sentence parsing, sentiment analysis, and text classification.
Sociolinguistics: This area examines how language is used in different social contexts, including how it varies across different regions, social classes, and ethnic groups. It looks at the social factors that influence language use, such as gender, age, and ethnicity, and how language reflects and reinforces social inequalities.
Speech Technology: This field involves the development of technologies related to speech, such as automatic speech recognition, text-to-speech synthesis, and speaker recognition. It draws on techniques from fields such as digital signal processing, machine learning, and linguistics to create speech-enabled applications and devices.
Virtual Reality and Language: This topic explores how virtual reality enables people to interact with simulated environments and how language can be used in this context. It examines the potential of virtual reality to support language learning, language teaching, and cross-cultural communication.
Web Semantics: This field investigates how computers can understand the meaning of information on the web by structuring and modeling data using standardized formats such as RDF and OWL. It aims to create a more intelligent and efficient web by allowing machines to reason about information and make decisions based on their understanding of the meaning of data.
Corpus linguistics: A set of computational tools and methods for analysing large amounts of text data, including computer programs that can analyse corpora and identify patterns, structures, and trends in language use.
Computational linguistics: The application of computer science to the study of language, including natural language processing, machine translation, and speech recognition.
Text mining: An approach to language analysis that uses automated algorithms to extract meaning from unstructured text data, including sentiment analysis, topic modelling, and named entity recognition.
Machine learning: A type of artificial intelligence that allows computers to learn from data and improve their performance over time. Used in natural language processing tasks such as language modelling and parts-of-speech tagging.
Sentiment analysis: A technique for identifying and categorising emotions in text data, commonly used in social media analysis and marketing research.
Lexicography: The practice of compiling, editing, and publishing dictionaries, including electronic dictionaries and databases.
Computational lexicography: The use of computerised techniques to analyse and manipulate lexical data, including the automatic extraction of meaning relationships and the creation of semantic networks.
Virtual assistants: Programs that use natural language processing and machine learning to provide human-like interaction and assistance, such as Siri, Alexa, and Google Assistant.
Speech recognition: The use of computer algorithms and models to recognise and transcribe spoken language, often used in voice-controlled technology and automatic subtitling.
Translation software: Programs that use machine learning techniques to automatically translate text from one language to another, such as Google Translate.
"Working with language technology often requires broad knowledge not only about linguistics but also about computer science."
"It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand, many application-oriented aspects of these, and more low-level aspects such as encoding and speech technology on the other hand."
"It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand."
"No, note that these elementary aspects are normally not considered to be within the scope of related terms such as natural language processing and (applied) computational linguistics."
"These elementary aspects... are otherwise near-synonyms. As an example, for many of the world's lesser-known languages, the foundation of language technology is providing communities with fonts and keyboard setups so their languages can be written on computers or mobile devices."
"For many of the world's lesser known languages, the foundation of language technology is providing communities with fonts and keyboard setups so their languages can be written on computers or mobile devices."
"Language technology... studies methods of how computer programs or electronic devices can analyze, produce, modify or respond to human texts and speech."
"Language technology... analyzes, produces, modifies or responds to human texts and speech."
"Working with language technology often requires broad knowledge not only about linguistics but also about computer science."
"Working with language technology often requires broad knowledge not only about linguistics but also about computer science."
"No, note that these elementary aspects are normally not considered to be within the scope of related terms such as natural language processing and (applied) computational linguistics."
"Language technology, often called human language technology (HLT), studies methods of how computer programs or electronic devices can analyze, produce, modify or respond to human texts and speech."
"It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand, many application-oriented aspects of these, and more low-level aspects such as encoding and speech technology on the other hand."
"more low-level aspects such as encoding and speech technology"
"Language technology... can analyze, produce, modify or respond to human texts and speech."
"Language technology... can analyze, produce, modify or respond to human texts and speech."
"Language technology... can analyze, produce, modify or respond to human texts and speech."
"It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand, many application-oriented aspects of these..."
"For many of the world's lesser-known languages, the foundation of language technology is providing communities with fonts and keyboard setups so their languages can be written on computers or mobile devices."