Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and apparatus for analyzing documents and thereby determining the association between words in a language. The method includes providing a collection of documents, selecting a first word or word string, and a second word or word string occurring in the documents. The method further involves associating first word or word strings and second word or word strings with common word or word strings based on frequency of occurrence of the common word or word strings within the ranges.

Abstract: A method for creating and using a cross-idea association database that includes a method for associating words and word strings in a language by analyzing word formations around a word or word string to identify other words or word strings that are equivalents or near equivalents semantically. One method for associating words and word strings includes querying a collection of documents with a user-supplied word or word string, determining a user-defined amount of words or word strings to the left and right of the query string, determining the frequency of occurrence of words or word strings located on the left and right of the query string, and ranking the located words.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many applications including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method for creating and using a cross-idea association database that includes a method for associating words and word strings in a language by analyzing word formations around a word or word string to identify other words or word strings that are equivalents or near equivalents semantically. One method for associating words and word strings includes querying a collection of documents with a user-supplied word or word string, determining a user-defined amount of words or word strings to the left and right of the query string, determining the frequency of occurrence of words or word strings located on the left and right of the query string, and ranking the located words.

Abstract: A method for creating and using a cross-idea association database that includes a method for associating words and word strings in a language by analyzing word formations around a word or word string to identify other words or word strings that are equivalents or near equivalents semantically. One method for associating words and word strings includes querying a collection of documents with a user-supplied word or word string, determining a user-defined amount of words or word strings to the left and right of the query string, determining the frequency of occurrence of words or word strings located on the left and right of the query string, and ranking the located words.

Abstract: A method and apparatus for translating a document segment in a first language into a document segment in a second language. A document segment can be text in the form of words or phrases in a document. The invention can be used where there is insufficient information to directly translate the document in the first language into the document in the second language. The invention includes providing an association between the document segment in the first language and a document segment in each of a plurality of third languages, providing an association between sample segments in the second language each of which corresponds to a segment in each of the plurality of third languages, identifying at least two sample segments that are identical as a deduced association segment; and associating the deduced association segment with the document segment in the first language.

Abstract: A method and system for using alternative resource identifiers in the place of the conventional resource identifiers. The invention transforms the alternative resource identifier to a conventional resource identifier using software on-the-fly. The resources on the Internet are then accessed using the conventional resource identifiers in the conventional manner and are displayed to the user.

Abstract: A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many applications including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

Abstract: A method and system for using alternative resource identifiers in the place of the conventional resource identifiers. The invention transforms the alternative resource identifier to a conventional resource identifier using software on-the-fly. The resources on the Internet are then accessed using the conventional resource identifiers in the conventional manner and are displayed to the user.

Abstract: An apparatus for text input and a method for its use. The apparatus includes a display device, a computing device, and an input device. The computer device is configured to generate a character or plurality of characters and to cause the display device to display the character or characters at a desired position on the display device screen. The input device operates to enlarge the character or plurality of characters depending on the position of the input device relative to characters displayed on said display device. The input device is configured to permit a user to select the enlarged character or plurality of characters.

Abstract: A method for creating and using a cross-idea association database that includes a method for associating words and word strings in a language by analyzing word formations around a word or word string to identify owther words or word strings that are equivalents or near equivalents semantically. One method for associating words and word strings includes querying a collection of documents with a user-supplied word or word string, determining a user-defined amount of words or word strings to the left and right of the query string, determining the frequency of occurrence of words or word strings located on the left and right of the query string, and ranking the located words.

Abstract: A method and apparatus for translating a document segment in a first language into a document segment in a second language. A document segment can be text in the form of words or phrases in a document. The invention can be used where there is insufficient information to directly translate the document in the first language into the document in the second language. The invention includes providing an association between the document segment in the first language and a document segment in each of a plurality of third languages, providing an association between sample segments in the second language each of which corresponds to a segment in each of the plurality of third languages, identifying at least two sample segments that are identical as a deduced association segment; and associating the deduced association segment with the document segment in the first language.

Abstract: A method and apparatus for translating a document segment in a first language into a document segment in a second language. A document segment can be text in the form of words or phrases in a document. The invention can be used where there is insufficient information to directly translate the document in the first language into the document in the second language. The invention includes providing an association between the document segment in the first language and a document segment in each of a plurality of third languages, providing an association between sample segments in the second language each of which corresponds to a segment in each of the plurality of third languages, identifying at least two sample segments that are identical as a deduced association segment; and associating the deduced association segment with the document segment in the first language.

Abstract: A method and apparatus for balancing load among a plurality of server computers connected via a network such as the Internet to a client computer. In one embodiment the invention includes a method of a client computer receiving plurality of addresses associated with a chosen Uniform Resource Locator. The method also includes identifying one of the plurality of addresses as a most recently used address and receiving a Uniform Resource Locator as an entered Uniform Resource Locator. The method further includes identifying the entered Uniform Resource Locator as a chosen Uniform Resource Locator and selecting from the plurality of addresses a selected address that is different from the most recently used address.