Notes:
Computational linguistics is a field of study that focuses on the use of computational techniques and algorithms to analyze, understand, and generate natural language text. It involves the use of computer science, linguistics, and other disciplines to develop computational models and tools for analyzing and processing natural language data.
The depth and breadth of computational linguistics is quite broad, as it covers a wide range of topics and techniques. Some of the key areas of focus within computational linguistics include:
- Natural language processing (NLP): NLP involves the use of algorithms and techniques to process and analyze natural language data, such as text and speech. This includes tasks such as language translation, text summarization, sentiment analysis, and dialogue generation.
- Natural language generation (NLG): NLG involves the use of algorithms and techniques to generate natural language text. This includes tasks such as text summarization, news article generation, and automatic translation.
- Speech recognition: Speech recognition involves the use of algorithms and techniques to recognize spoken language and convert it into text. This includes tasks such as speech-to-text transcription, speaker identification, and accent recognition.
- Syntactic and semantic analysis: Syntactic and semantic analysis involves the use of algorithms and techniques to analyze the structure and meaning of natural language text. This includes tasks such as part-of-speech tagging, syntactic parsing, and semantic role labeling.
Overall, computational linguistics is a broad and multifaceted field that covers a wide range of topics and techniques related to the analysis, understanding, and generation of natural language data.
- Applied linguistics is a field of study that focuses on the practical applications of linguistic theory and research. It involves the use of linguistic knowledge and techniques to solve real-world problems in areas such as education, language learning, translation, and language therapy.
- Cognitive linguistics is a field of study that investigates the relationship between language and thought. It focuses on how language is used to represent and communicate meaning, and how it is shaped by and shapes our cognitive processes.
- Corpus linguistics is a field of study that involves the use of large collections of natural language text, known as corpora, to analyze and understand language usage. Corpus linguists use computational techniques to analyze the patterns and trends in large amounts of language data, in order to understand how language is used in different contexts and by different groups of people.
- Dependency linguistics is a framework for analyzing the structure of natural language sentences that focuses on the relationships between words, rather than the traditional phrase structure approach that focuses on the relationships between constituents.
- Text linguistics is a field of study that focuses on the analysis and understanding of text and discourse. It involves the use of linguistic and literary techniques to analyze the structure, meaning, and context of written or spoken texts. Text linguistics is concerned with how language is used to create and convey meaning in different contexts, and how texts are interpreted by readers or listeners.
Wikipedia:
- Applied linguistics
- Category:Computational linguistics
- Cognitive linguistics
- Computational linguistics
References:
- Corpus Linguistics for ELT: Research and Practice (2015)
- Text Genres and Registers: The Computation of Linguistic Features (2015)
- The Cambridge Handbook of English Corpus Linguistics (2015)
- Resources and linguistic processors (2013)
- The Handbook of Computational Linguistics and Natural Language Processing (2013)
- Computational Linguistics and Intelligent Text Processing: 13th International Conference, Cicling 2012, Part 1
- Computational Linguistics and Intelligent Text Processing: 13th International Conference, Cicling 2012, Part 2
- Computational Linguistics and Intelligent Text Processing: Part 1 (2011)
- Computational Linguistics and Intelligent Text Processing: Part 2 (2011)
- International Conference on Dependency Linguistics Depling 2011
- Linguistic Analysis (2011)
- Logical Aspects of Computational Linguistics (2011)
- Proceedings of the Paralinguistic Information and Its Integration in Spoken Dialogue Systems Workshop (2011)
See also:
100 Best Corpus Linguistics Videos | ALIPR (Automatic Linguistic Indexing of Pictures Realtime) | Linguistic Data Consortium & Dialog Systems | Linguistic Empathy | LIWC (Linguistic Inquiry and Word Count) & Dialog Systems | TALK (Tools for Ambient Linguistic Knowledge) | Text Linguistics & Dialog Systems | Linguistic Realizers
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