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Natural language processing. Main concepts. Examples. Problems презентация
Содержание
- 1. Natural language processing. Main concepts. Examples. Problems
- 2. DEFINITIONS OF MAIN CONCEPTS Natural language –
- 3. MAIN PARTS OF NLP Signal Processing Parsing Semantic analysis Pragmatics
- 4. KNOWLEDGE THAT ARE USED IN NLP Phonetic
- 5. SYNTACTIC ANALYSIS EXAMPLE Building phrase tree
- 6. PROBLEMS IN NLP Non-standard language Segmentation issues Idioms Tricky entity names
- 7. EXAMPLES OF THE USE OF NLP
DEFINITIONS OF MAIN CONCEPTS Natural language – our normal language (like English) which can contain certain constructions and ambiguities that will not be able to parse and analyze by computer.
Слайд 2DEFINITIONS OF MAIN CONCEPTS
Natural language – our normal language (like English)
which can contain certain constructions and ambiguities that will not be able to parse and analyze by computer.
Artificial language - the language which is generated by machine based on certain rules, or a set of texts and proposals that can easily examine and disassemble by machine.
“Natural language understanding” in most cases reduced to interpretation part of language analysis.
“Natural language processing”- a concept which primarily includes both interpretation and generation of language.
Artificial language - the language which is generated by machine based on certain rules, or a set of texts and proposals that can easily examine and disassemble by machine.
“Natural language understanding” in most cases reduced to interpretation part of language analysis.
“Natural language processing”- a concept which primarily includes both interpretation and generation of language.
Слайд 4KNOWLEDGE THAT ARE USED IN NLP
Phonetic and phonological knowledge:
Morphological knowledge
Syntactic knowledge
Semantic
knowledge
Pragmatic knowledge
Discourse knowledge
World knowledge
Pragmatic knowledge
Discourse knowledge
World knowledge
