Method for syntactic and semantic analysis of patent text and drawings
AssigneeMotorola, Inc.
InventorMarc Alan Newman
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AssigneeMotorola, Inc.
InventorMarc Alan Newman
Estimating the term…
A method for processing patent text (99) in a computer (200) including identifying boundaries of parts of patent text (100), loading at least one of the parts of the patent text into a working memory (102), analyzing at least one of the parts of the patent text (104), and reporting results (106) to a user (202). Alphanumeric drawing data can also be compared to patent text (100). The method can be coupled to work with a word processor program (208). The method can recognize and report (106 and 708) on claim dependency (400, 402, 404), specific characteristics (704) of patent text (99), and patent errors based on legal standards, practice standards, and Patent and Trademark Office standards, or even user preferences (702, 704, 706).
A method for processing patent text in a computer, the method comprising the steps of:
A method for processing patent text in a computer, the method comprising the steps of:
A method as claimed in 9, wherein the step of identifying boundaries comprises the steps of:
A method as claimed in 9, wherein the step of analyzing comprises the step of comparing plural/singular agreement between a brief description of drawings header, a detailed description header, and a count of drawings.
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the steps of:
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the step of identifying figure elements by name and reference number.
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the step of verifying proper use of colons, semicolons, and placement of "and" in claim text.
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the step of verifying independent and dependent claim ordering as prescribed by a U.S. Patent and Trademark Office Manual for Patent Examining Procedure (MPEP).
A method for processing patent text in a computer as claimed in 10, wherein the step of analyzing comprises the steps of:
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the step of verifying that no more than a predetermined number of words are used in an abstract section of the patent text.
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the step of verifying that no predetermined objectionable terminology is used in the abstract section.
A method for processing patent text in a computer as claimed in 9, wherein the step of analyzing comprises the step of verifying that figure references are included within parenthesis in an abstract section.
A method for analyzing patent text in a computer, the method comprising the step of verifying a rule has been correctly followed, wherein the rule is selected from the group consisting of:
A method for processing patent text in a computer, the method comprising the steps of:
A method for processing patent text in a computer, the method comprising the steps of:
A method for processing patent text in a computer, the method comprising the steps of:
A method for processing patent text in a computer, the method comprising the steps of:
Dependencies are inferred from the claim text.
No related US applications are recorded in the indexed filing history.
No references of this kind are recorded.
Parsing: syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
Text processing: formatting, i.e. changing of presentation of documents
Handling natural language data: semantic analysis
Computing and data processing
Term ended 8 Dec 2015 (estimated)
USPTO file history isn’t available for this patent, so only indexed dates are shown.
The invention relates generally to computer processing, and more particularly, to syntactic and semantic analysis of text and graphics.
Background of the Invention
With the advent and increasing ubiquitousness of personal computers, the production of textual and graphical documents have been greatly improved over previous methods such as using typewriters. Computers have allowed people to more easily manipulate text within and among computer documents as well as provide additional tools to help construct and edit text. For example, many of today's word processors include writing tools such as spelling checkers and grammar checkers. It is generally agreed that these types of tools have improved the efficiency of producing quality documents.
FIG. 1 is a flow chart of the primary processing steps for syntactically and semantically analyzing patent text in a computer;
FIG. 2 is a diagram of a computer executing a patent analyzer integrated with a word processor program;
FIG. 3 is a diagram illustrating the first few characters of a computer file containing patent text;
In FIG. 1 there is shown a method for semantic and syntactic processing of patent text with a computer. Syntax refers to the structure of language. Syntax of written text includes grammar and punctuation covering sentences, paragraphs, and whole sections of text. Semantics refers to the meaning of language.
To demonstrate the distinction between semantics and syntax, consider the sentence "Mary gave a book to John." This sentence has the exact same syntactic structure, but opposite semantic meaning as "John gave a book to Mary." The sentence "A Mary book John to gave" has virtually no semantic or syntactic meaning. The first sentence "Mary gave a book to John" is syntactically correct and unambiguous ("Mary", singular noun, is the subject; "gave" is a singular verb; "a" is an article referring to the noun book which is the object of the verb "gave" comprising the verb phrase "gave a book", etc.). That same sentence is semantically ambiguous because, while it can be presumed that Mary is a female person and John is a male person, it is not clear whether Mary transferred possession, ownership, both possession and ownership, or merely knowledge of a book to John.
The present invention includes semantic and syntactic processing of particular information, i.e. patent text and figures (graphics). "Patent text", as used herein, includes patent applications, issued patents, statutory invention registrations, invention disclosures, and any other technical writing in a patent language type format.