0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (2)
  • R2,500 - R5,000 (1)
  • -
Status
Brand

Showing 1 - 3 of 3 matches in All Departments

Automatic Syntactic Analysis Based on Selectional Preferences (Hardcover, 1st ed. 2018): Alexander Gelbukh, Hiram Calvo Automatic Syntactic Analysis Based on Selectional Preferences (Hardcover, 1st ed. 2018)
Alexander Gelbukh, Hiram Calvo
R3,528 R3,268 Discovery Miles 32 680 Save R260 (7%) Ships in 10 - 15 working days

This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.

Automatic Syntactic Analysis Based on Selectional Preferences (Paperback, Softcover reprint of the original 1st ed. 2018):... Automatic Syntactic Analysis Based on Selectional Preferences (Paperback, Softcover reprint of the original 1st ed. 2018)
Alexander Gelbukh, Hiram Calvo
R2,466 R2,293 Discovery Miles 22 930 Save R173 (7%) Ships in 9 - 17 working days

This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.

Unleashing the Power of Syntactic N-Grams - A Solution for Explainable Cognitive Linguistics (Paperback): Hiram Calvo Unleashing the Power of Syntactic N-Grams - A Solution for Explainable Cognitive Linguistics (Paperback)
Hiram Calvo
R1,350 Discovery Miles 13 500 Ships in 18 - 22 working days
Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Collagen capsules
Junior Pet Food (8kg) - JOCK
R290 Discovery Miles 2 900
120 Egg Automatic Roller and Incubator…
R3,999 Discovery Miles 39 990
Matcha Bean Detangling Brush
R144 Discovery Miles 1 440
Rex Cat Tunnel
R299 R246 Discovery Miles 2 460
Mpesu capsules (for men)
Peptine Pro Equine Hydrolysed Collagen…
R699 R499 Discovery Miles 4 990
Best Buds Deodorising Coat Spray Dog…
Cat Flea and Tick Collar Adjustable Flea…
R500 R299 Discovery Miles 2 990
Ashwagandha capsules

 

Partners