Making Computer Information Retrieval Easy

Such complex structures rent extensive training of substance abusers, and argon unforgiving. If the user does not cypher a space at the right place, or if a comma is used where the computer does not expect one, the enquiry fails. The problem is to improve the interaction and communication between user and computer.

inwrought language processing is directly related to ersatz intelligence (although it backside be used with traditional computer techniques, as well). Concepts of an intelligent machine are inherently associate to its use and the manipulation of the primary representation of friendship: actor's line (May, 1991, p. 120). The goal of natural language processing is to have computers comprehend and respond to commands and inquiries issued in noncryptic, colloquial language, either typed or spoken.

Natural language processing is a specialty or subfield in the area of artificial intelligence. It includes members of the artificial intelligence community and the computational linguists. These experts, in turn, evolved from linguists and computer scientists who had traded expertise with one another. Each congregation of scientists continues to develop along their own theoretical bases, but in that respect has been a combining of efforts over the past ten eld (Pritchard-Schoch, 1993, p. 34). Because natural language development has commercial aspects, scientist

Natural language processing is distinct from keyword processing. When key haggling are involved, the user enters words that they expect to find in documents. These keywords are indexed in a table which refers the system to the actual document where the words appear. Because of the indexing requirement, keywords are a cumbersome and strong method of information retrieval, but popular in text-based systems, such(prenominal) as libraries. However, to be effective, keyword searches require that users have some intimacy of the field they are researching. This is not always the case.

When such knowledge is unavailable, the user is generally unable to select keywords that result in accurate searches; the search result in this situation can be too large for the system to display, and the user mustiness enter additional keywords to narrow the search results. Keyword searching is because limited in its applicability to artificial intelligence, since the goal of such systems is to reduce, not increase, user interaction.

Natural language central processing units that work on documents and text first use a search engine to find the text in question. These search engines identify statistical relationships by finding correlations between the term specified in a query and others that appear in the same document. The processor then compares the occurrences of the words to the number of times they appear in the entire database. To account for document length, the first time that a word appear, it receives a higher weight than each concomitant occurrence (which receive progressively lower weights). Thus if a user enters a search for "apples and bananas," documents which retrovert both words are determined to be more relevant than documents which contain two occurrences of either word.

May, K. M. (October 1991). The next wave in AI. Best's Review, pp. 118-121.

maven of the significant advantages to natural language processors is that syntax is not all important(predicate) to the degree that it is in Boolean pr
Order your essay at Orderessay and get a 100% original and high-quality custom paper within the required time frame.