Natural language processing. Main concepts. Examples. Problems

1. Natural language processing

NATURAL
LANGUAGE
PROCESSING
MAIN CONCEPTS. EXAMPLES. PROBLEMS

2. Definitions of main concepts

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.
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.

3. Main parts of NLP

MAIN PARTS OF NLP
Signal Processing
Parsing
Semantic analysis
Pragmatics

4. Knowledge that are used in NLP

KNOWLEDGE THAT
ARE USED IN NLP
Phonetic and phonological knowledge:
Morphological knowledge
Syntactic knowledge
Semantic knowledge
Pragmatic knowledge
Discourse knowledge
World knowledge

5. Syntactic analysis example

SYNTACTIC ANALYSIS
EXAMPLE
Building phrase tree

6. Problems in NLP

PROBLEMS IN NLP
• Non-standard language
• Segmentation issues
• Idioms
Tricky entity names

7. Examples of the use of NLP

EXAMPLES OF THE
USE OF NLP