Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
|
Buy Now
Automatic Syntactic Analysis Based on Selectional Preferences (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R2,957
Discovery Miles 29 570
|
|
Automatic Syntactic Analysis Based on Selectional Preferences (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: Studies in Computational Intelligence, 765
Expected to ship within 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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.