Title
Relations between pattern structure and syntax of natural language: Modeling of natural language,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Special algebra which explores and interprets the predicative relations was created and developed in the monograph. In view of this task the description of the object by syntagm from the point of view of volume and content of the object and problems of research of informative combinations in syntactic pattern recognition was identified and solved. There were intensional and extensional representations of the object and conditions for obtaining of maximum deductibility using implication. The best deduction based on the estimating predicates within fuzzy logic in broad sense was determined. Description of the relationships between objects on the basis of mathematical linguistics was carried out. Proposed models can be used in parsing strategy based on the most probable connections of words together with the methods of allocation and classification of syntactic relations. The scope of above methods may be an image search and recognition of the semantics of complex information objects by verbal description.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.