Notes:
Natural language processing (NLP) is a field of artificial intelligence that focuses on the development of algorithms and models that can understand and interpret human language. This includes tasks such as speech recognition, natural language understanding, and natural language generation.
NLP is a complex and interdisciplinary field that involves a wide range of techniques and approaches, including machine learning, linguistics, and computer science. The goal of NLP is to enable computers to understand and process natural language data in a way that is similar to how humans do, and to be able to provide appropriate responses or take actions based on that understanding.
NLP has a wide range of applications, including speech recognition, machine translation, sentiment analysis, and text summarization. It is also an important component of many other artificial intelligence technologies, such as virtual assistants and chatbots, which use NLP to understand and respond to user input.
Wikipedia:
- Category:Natural language processing
- Category:Natural language processing software
- Category:Natural language processing toolkits
- Category:Tasks of natural language processing
- Category:Word-sense disambiguation
- Natural language processing
- Outline of natural language processing
See also:
100 Best Theses in AI & NLP (Conversational Agents) | Best Stanford NLP Videos | Dialog System Modules | OpenNLP & Dialog Systems | Stanford NLP & Dialog Systems
- 100 Most Common English Verbs
- Computational Social Science & Chatbots
- DNLP (Deep Natural Language Processing)
- Drools & Natural Language Processing
- Lexicogrammar & Natural Language Processing
- Natural Language Generation
- Automatic Book Generation
- Combinatory Categorial Grammar & Natural Language Generation
- Context-Free Grammar & Natural Language Generation
- Data Analytics & Natural Language Generation
- Data Interpretation & Natural Language Generation
- Data-to-Text Generation
- Digital Poetry
- Document Planning & Natural Language Generation
- Generative Literature & Natural Language Processing
- Generative Text & Natural Language Processing
- Grammar Templates
- Gutenberg Corpus & Natural Language Generation
- KPML (Komet-Penman Multi-Lingual)
- Linguistic Realizers
- Mashups & Natural Language Generation
- Micro-planning & Natural Language Generation
- Natural Language Generation Engines
- Natural Language Generation Pipeline
- NaturalOWL
- NLTK & Natural Language Generation
- OWL (Web Ontology Language) & Natural Language Generation
- Poetry Generation
- Procedural Generation & Natural Language Processing
- Realizers In Natural Language Processing
- RiTa Toolkit
- Sentence Planner
- SimpleNLG Realization Engine
- SME (Structure Mapping Engine)
- SPG (Statistical Paraphrase Generation)
- Template Based Natural Language
- Text Generation
- Topic Modeling & Natural Language Generation
- Word Lattice
- Natural Language Interpreters
- Natural Language Parsing
- ANTLR (ANother Tool for Language Recognition)
- ANTLRWorks (ANTLR GUI)
- CCG (Combinatory Categorial Grammar) Parsers
- CFG (Context-free Grammar) Parsers
- CYK Parser & Natural Language
- Discourse Parser
- Frame Semantic Parsing
- HPSG Parsers
- MaltParser Dependency Parser
- Ontology Parsers
- Parse Selection
- Rhetorical Parser
- Semantic Parsing
- Natural Language Processing Toolkits
- Natural Language Understanding
- NIF (NLP Interchange Format)
- NLP Systems Evaluation
- SNLP (Shallow Natural Language Processing)
- Statistical Natural Language Processing
- Tasks of Natural Language Processing (Draft)
- Text Segmentation
- Truecasing
- Tuple Extraction
- TweetNLP