ALL >> Technology,-Gadget-and-Science >> View Article
English Language Processing
The research in the field of Natural Language Processing usually assumes the existence of a syntactic "generative engine" that combines words and word-like elements into syntactic structures, and then sometimes displaces them by syntactic movement. A Linguistic Parser must "undo" all the effects of syntactic movement, which results in a structure where the relations between the words are represented more directly.
In recent years, a new theoretical framework was introduced, in which the syntactic combinatorial system does not stop at the level of the words. Instead, the same "generative engine" continues all-the-way-down into morphology. The various parts of the same word correspond to the different areas of the syntactic tree, and then are brought together by multiple applications of movement.
Within this "constructionalist" framework, the syntactic is not a tree of words - it is a tree made of sub-lexical elements like roots, prefixes, suffixes, etc. The components of a single verb are spread all over the parse tree.
Correspondingly, the function of a Linguistic Parser is different. ...
... The goal of the parsing is to "reconstruct" every such sub-lexical element into its original place in the syntactic tree.
By undoing the effects of syntactic movement, "constructionalist parsing" produces the syntactic trees where atomic constituents of every word are distributed through such a "reconstructed" syntactic tree. Every constituent is restored into its appropriate location in the tree, where the context for its semantic contribution is found in immediately adjacent locations.
Deep Parsing makes it possible for all the relations between the elements in the tree to be strictly local. The primary distinctive property of "constructionalist parsing" is the fact that the meaning of all the elements of a syntactic tree is determined locally.
The argument structures of all the verbs are represent by a small number of "functional elements". These "functional elements" introduce arguments and determine the semantic roles of the immediately adjacent Noun Phrases.
The state-of-art algorithms of pattern matching generally fail to produce good results on natural language texts, before or after parsing. But when a text undergoes "constructionalist parsing",
the output is more accessible to standard "pattern matching" methods and analysis, because an appropriate representation of the text is generated.
About the Author
Sasson Margaliot is the founder of Linguistic Agents Ltd (www.linguisticagents.com)
Add Comment
Technology, Gadget and Science Articles
1. How To Improve Malware Protection And Keep Your Computer SafeAuthor: Viginet Software
2. Strategy Meets Spatial Intelligence – How Itechlance It Powers Better Telecom Networks
Author: Itech Lance
3. Two Services That Define Telecom Deployment Success – How Itechlance It Delivers Both
Author: Itech Lance
4. Building The Future From India – Why Itechlance It Is The Aec Industry's Most Trusted Bim And Cad Partner
Author: Itech Lance
5. How Professional Translation Supports International Students
Author: premiumlinguisticservices
6. Cardekho Vs Bikewale India Auto Listings Data Scraping
Author: iwebdatascraping
7. Ai Web Data Extraction For Ai Products | Live Data Pipelines
Author: WebDataScraping.us
8. Rightmove Data Scraping Api — Real-time Property, Epc & Sold Price Data
Author: REAL DATA API
9. Verified Us Company Database & Decision-maker Data Extraction
Author: WebDataScraping.us
10. Scrape Uk Grocery Deserts By Postcode
Author: iwebdatascraping
11. Supermarket Price-trend Dataset: Coles, Woolworths & Aldi
Author: Food Data Scrape
12. Trulia Data Scraping Api — Real-time Listing, Neighborhood & Crime Data
Author: REAL DATA API
13. Build Your Stablecoin Payment Platform In San Francisco
Author: Benjamin
14. Retail Insights With Singapore Grocery Price Data Scraping
Author: Retail Scrape
15. Why Businesses Need An Odoo Development Company?
Author: Hardik Patel






