1. A method of determining a geographical relevance of a document, performed by one or more processors associated with one or more server devices, the method comprising:
generating, using a processor associated with the one or more server devices, a plurality of histograms associated with a plurality of respective strings in the document by comparing strings in the document to a pre-existing plurality of strings for which histograms were previously generated, where the plurality of histograms relates occurrences of strings to geographical regions;
generating, using a processor associated with the one or more server devices, a combined histogram for the document from the plurality of histograms by multiplying together values for each histogram of the plurality of histograms; and
identifying, using a processor associated with the one or more server devices, a geographical relevance of the document based on the combined histogram.
2. The method of claim 1, where identifying the geographical relevance of the document based on the combined histogram includes:
analyzing the combined histogram for peaks.
3. The method of claim 1, where one or more strings in the plurality of strings comprise a single term string.
4. The method of claim 1, where one or more strings in the plurality of strings comprise bi-grams.
5. The method of claim 1, where the document includes a web page.
6. The method of claim 1, where the document includes a search query.
7. A location classifier implemented within a computing device, comprising:
means for receiving input text;
a memory to store the input text;
means for locating strings within the input text that were previously determined to be geographically relevant;
means for comparing located strings in the input text to a pre-existing plurality of strings for which histograms were previously generated, where the histograms relate occurrences of strings to geographical regions;
means for combining the retrieved histograms, to form a combined histogram, by multiplying together values for each histogram of the retrieved histograms; and
means for determining whether the input text is geographically relevant based on the peaks of the combined histogram.
8. The location classifier of claim 7, where the plurality of histograms relate zip codes to a number of occurrences of a string in documents associated with a particular zip code.
9. A memory device containing programming instructions for execution by a processor, the memory device comprising:
programming instructions for generating a plurality of histograms associated with a respective plurality of strings in a document by examining the document to locate strings for the respective plurality of strings by comparing strings in the document to a pre-existing plurality of strings for which histograms were previously generated, the histograms defining a geographical relevance of the plurality of strings with respect to geographical regions;
programming instructions for combining the plurality of histograms to obtain a combined histogram for the document by multiplying together values for each histogram of the plurality of histograms; and
programming instructions for determining a geographical relevance of the document based on the combined histogram.
10. The memory device of claim 9, where the programming instructions for a determining geographical relevance of the document further includes:
programming instructions for analyzing the combined histogram for peaks.
11. The memory device of claim 9, where the strings include single term strings.
12. The memory device of claim 9, where the strings include bi-grams.
13. The memory device of claim 9, where the document includes a web page.
14. The memory device of claim 9, where the document includes a search query.
15. A method for generating a histogram for a string, performed by a server device, the method comprising:
determining, using a processor of the server device, a plurality of sections of training text in which each section of training text is associated with a geographical region;
accumulating, using the processor, occurrences of the string in the plurality of sections of training text when terms to a left or right of the string are different from previous instances of terms to the left or right of the string; and
generating, using the processor, the histogram based on the accumulated occurrences of the string, where the histogram relates the occurrences of the string to geographical regions.
16. The method of claim 15, where determining a plurality of sections of training text includes:
locating known geographic signals in a plurality of documents; and
selecting the sections of training text from those of the plurality of documents that include the known geographic signals.
17. The method of claim 15, where the documents include web documents.
18. The method of claim 15, further comprising:
normalizing the generated histogram based on a global distribution of geographical regions within the training text.
19. The method of claim 15, where the geographical regions are represented by zip codes.
20. The method of claim 15, further comprising:
saving the generated histogram for future use when the histogram includes statistically relevant peaks.
21. A device comprising:
a processor; and
a computer-readable memory coupled to the processor and containing instructions that when executed by the processor cause the processor to:
determine a plurality of sections of training text in which each section of training text is associated with a geographical region;
accumulate occurrences of a string in the plurality of sections of training text when terms to a left or right of the string are different from previous instances of the terms to the left or right of the string; and
generate a histogram that defines the geographical relevance of the string with respect to geographical regions based on the accumulated occurrences of the string.
22. The device of claim 21, further comprising analyzing the histogram for peaks.
23. The device of claim 21, where the string comprises a single term.
24. The device of claim 21, where the string comprises a bi-gram.
25. A method performed by one or more processors associated with one or more server devices, the method comprising:
examining, using a processor associated with the one or more server devices, a document to locate strings that were previously determined to have geographical relevance;
generating, using a processor associated with the one or more server devices, a plurality of histograms associated with the located strings, in the document, by comparing the located strings in the document to a pre-existing plurality of strings for which histograms were previously generated;
receiving, using a communication interface or an input device of the one or more server devices, the histograms associated with the strings, where the histograms relate occurrences of the strings to geographic regions;
obtaining, using a processor associated with the one or more server devices, a combined histogram for the document from the received histograms by multiplying values for each of the received histograms together;
analyzing, using a processor associated with the one or more server devices, the combined histogram for peaks; and
determining, using a processor associated with the one or more server devices, geographical relevance of the document based on whether peaks are present in the combined histogram.
26. The method of claim 25, further comprising normalizing the received histograms based on a global distribution of geographical regions within the training text.
27. The method of claim 25, where the strings comprise one of a single term or a bi-gram.
28. The method of claim 25, where the histograms relate zip codes to a number of occurrences of a string in documents associated with a particular zip code.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A semiconductor workpiece processing system comprising:
at least one processing tool for processing semiconductor workpieces;
a container for holding at least one semiconductor workpiece therein for transport to and from the at least one processing tool;
a first transport section elongated and defining a travel direction, and having parts, that interface the container, supporting and transporting the container along the travel direction to and from the at least one processing tool, the container being in substantially continuous transport at a substantially constant rate in the travel direction, when supported by the first transport section; and
a second transport section connected to the at least one process tool for transporting the container to and from the at least one processing tool, the second transport section being separate and distinct from the first transport section and interfacing the first transport section for loading and unloading the container to and from the parts of the first transport section.
2. The system according to claim 1, wherein the second transport section is connected to the at least one processing tool for loading and unloading the container to and from the at least one processing tool.
3. The system according to claim 1, wherein the first transport section is a mass transport system with a distributed drive arranged to support and transport containers without transport vehicles, and the second transport section is a vehicle based system having a transport vehicle capable of holding and moving the container.
4. The system according to claim 1, wherein the second transport section comprises a transport vehicle capable of holding and transporting the container in a travel direction defined by the second transport system, the transport vehicle being arranged to load and unload the container to and from the first transport system.
5. The system according to claim 4, wherein the second transport section has a drive system arranged so that the transport vehicle of the second transport section is capable of travel in at least two travel directions angled relative to each other.
6. A semiconductor workpiece processing system comprising:
at least one processing tool for processing semiconductor workpieces;
a container for holding at least one semiconductor workpiece therein for transport to and from the at least one processing tool;
a first transport section elongated and defining a travel direction, and having parts, that interface the container, supporting and transporting the container along the travel direction to and from the at least one processing tool, the container travelling at a substantially constant rate in the travel direction, when supported by the first transport section; and
a second transport section connected to the at least one process tool and first transport section interfacing the container between the at least one processing tool and first transport section, the second transport section being distinct from the first transport section and interfacing the first transport section for loading and unloading the container to and from the parts of the first transport section;
wherein the constant rate of travel of the container is substantially independent of an interface rate between the second transport section and the at least one processing tool.