WO2013081781A2 - System and method for determining user language intent - Google Patents
System and method for determining user language intent Download PDFInfo
- Publication number
- WO2013081781A2 WO2013081781A2 PCT/US2012/063737 US2012063737W WO2013081781A2 WO 2013081781 A2 WO2013081781 A2 WO 2013081781A2 US 2012063737 W US2012063737 W US 2012063737W WO 2013081781 A2 WO2013081781 A2 WO 2013081781A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- language
- user
- query
- user query
- usage signal
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2452—Query translation
- G06F16/24522—Translation of natural language queries to structured queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/243—Natural language query formulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/3332—Query translation
- G06F16/3337—Translation of the query language, e.g. Chinese to English
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/263—Language identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
- G06F40/58—Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
Definitions
- the present disclosure generally relates to determining user language intent, and, in particular, to determining user language intent based on a received user query via a web-based application.
- the disclosed subject matter relates to a machine-implemented method for determining a language intent of a user submitted query.
- a user query comprising text is received, where the text of the user query corresponds to address data including two or more components.
- An order in which the two or more components are presented is identified in the address data
- a location of a user is determined based on the received user query.
- a language associated with the determined location of the user is identified.
- At least one language usage signal is identified from the text of the user query based on the order in which the two or more components are presented in the address data corresponding to the user query.
- a strength of the at least one language usage signal is determined based on the received user query and the identified language associated with the determined location of the user by comparing a language corresponding to the at least one language usage signal of the user query to the language associated with the determined location of the user, where the language corresponding to the at least one language usage signal of the user query being determined to be a same language as the language associated with the detennined location of the user has a weaker language usage signal strength than the language corresponding to the at least one language usage signal of the user query being determined to be a different language from the language associated with the determined location of the user.
- the strength of the at least one language usage signal is greater than a predetermined threshold, an output language for the query is adjusted based on the language usage signal. Results for the user query are returned according to the output language.
- a system for determining a language intent of a user submitted query comprises one or more servers connected to one or more client devices (e.g., desktop, mobile, or other compute devices) via a network (e.g., the Internet, a wide area network, a local area network, etc.).
- the one or more servers is also connected to one or more databases for storing data to be retrieved by the one or more servers and served to the one or more client devices.
- Each client device comprises a query processing module, a language identification/adjustment module, and a signal strength detennination module.
- a user query comprising text is received, where the text of the user query corresponds to address data comprising two or more components.
- An order in which the two or more components are presented is identified in the address data corresponding to the user query. Different orders in which two or more components of address data are presented correspond to different geographical regions with different associated languages.
- a location from which the search query is received is determined.
- a language associated with the location from which the search query is received is identified.
- a language corresponding to the text of the search query is identified based on the order in which the two or more components are presented in the address data corresponding to the user query.
- a language signal strength is determined based on the language corresponding to the text of the search query and the language associated with the location from which the search query is received by comparing the language corresponding to the text of the search query to the language associated with the location from which the search query is received.
- the language corresponding to the text of the search query being determined to be a same language as the language associated with the location from which the search query is received has a weaker language signal strength than the language corresponding to the text of the search query being determined to be a different language from the language associated with the location from which the search query is received.
- An output language is adjusted to the identified language when the language signal strength is greater than a predetermined signal strength threshold. Results for the search query are returned according to the output language.
- An order in which the two or more components are presented in the address data corresponding to the user query is identified. Different orders in which two or more components of address data are presented correspond to different geographical regions with different associated languages.
- a location of a user is determined based on the received user query. At least one language associated with the determined location of the user is identified. At least one language usage signal is identified from the text of the user query based on the order in which the two or more components are presented in the address data corresponding to the user query.
- a strength of the at least one language usage signal is detemiined based on the received user query and the identified language associated with the determined location of the user by comparing a language corresponding to the at least one language usage signal of the user query to the language associated with the determined location of the user.
- the language corresponding to the at least one language usage signal of the user query being determined to be a same language as the language associated with the determined location of the user has a weaker language usage signal strength than the language corresponding to the at least one language usage signal of the user query being determined to be a different language from the language associated with the determined location of the user.
- An output language for the user query is adjusted based on the language usage signal when the strength of the at least one language usage signal is greater than a predetermined signal strength threshold. Results for the user query are returned according to the output language.
- An elapsed time since a last adjustment to the output language is determined. The output language is reverted to a default language when the elapsed time since the last adjustment to the output language exceeds a predetermined time threshold.
- FIG. 1 illustrates an example network environment which provides for determining a language intent of a user submitted query.
- FIG. 2 illustrates an example of a server system for determining a language intent of a user submitted query.
- FIG. 3 illustrates an example method for determining a language intent of a user submitted query.
- FIG. 4 illustrates an example method for maintaining an adjusunent to user language for a predetermined period.
- FIG. 5 provides a graphical representation of example determinations of language usage signal strengths.
- FIG. 6 conceptually illustrates an example electronic system with which some implementations of the subject technology are implemented.
- the disclosed subject matter relates to a machine-implemented method for determining a language intent of a user submitted query.
- a user query comprising text is received and a location of the user based on the received user query is determined.
- At least one language usage signal from the text of the user query is identified and a strength of the at least one language usage signal is determined, based on the received user query and the determined location of the user.
- an output language for the query based on the language usage signal is adjusted. Results for the query are returned according to the output language.
- a user enters a query comprising text
- the language of the text is identified and the location of the computing device being used is determined.
- a language usage signal strength is determined based on the identified language and the location of the computing device, if the signal strength is higher than a predetermined threshold, the output language of the computing device is adjusted to match the identified language. Subsequent query results are returned to the user according to the output language.
- Network environment 100 comprises one or more databases 102 (e.g., computer- readable storage devices) for storing a variety of data accessed by web-based applications.
- the network environment 100 further comprises one or more servers 104.
- Server 104 may receive queries from user-operated client devices 108a- 108d.
- Server 104 and client devices 108a-108d may be communicatively coupled through a network 106.
- client devices 108a- 108d may request data from server 104.
- server 104 may retrieve a set of data from database 102 and serve the set of information to client devices 108a- 108d.
- Each of client devices 108a-108d can represent various forms of processing devices.
- Example processing devices can include a desktop computer, a laptop computer, a handheld computer, a personal digital assistant (PDA), a cellular telephone, a network appliance, a camera, a smart phone, an enhanced general packet radio service (EGPRS) mobile phone, a media player, a navigation device, an email device, a game console, or a combination of any these data processing devices or other data processing devices.
- PDA personal digital assistant
- EGPS enhanced general packet radio service
- client devices 108a-108d may communicate wirelessly through a communication interface (not shown), which may include digital signal processing circuitry where necessary.
- the communication interface may provide for communications under various modes or protocols, such as Global System for Mobile communication (GSM) voice calls, Short Message Service (SMS), Enhanced Messaging Service (EMS), or Multimedia Messaging Service (MMS) messaging, Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Personal Digital Cellular (PDC), Wideband Code Division Multiple Access
- GSM Global System for Mobile communication
- SMS Short Message Service
- EMS Enhanced Messaging Service
- MMS Multimedia Messaging Service
- CDMA Code Division Multiple Access
- TDMA Time Division Multiple Access
- PDC Personal Digital Cellular
- WCDMA Wideband Code Division Multiple Access
- CDMA2000 Code Division Multiple Access 2000
- GPRS General Packet Radio System
- the communi cation may occur through a radio- frequency transceiver (not shown).
- short-range communication may occur, such as using a Bluetooth, WiFi, or other such
- network environment 100 can be a distributed client/server system that spans one or more networks such as network 106.
- Network 106 can be a large computer network, such as a local area network (LAN), wide area network (WAN), the Internet, a cellular network, or a combination thereof connecting any number of mobile clients, fixed clients, and servers.
- each client e.g., client devices 108a-108d
- VPN virtual private network
- SSH Secure Shell
- network 106 may further include a corporate network (e.g., intranet) and one or more wireless access points.
- FIG. 2 illustrates an example of a system for determining a language intent of a user submitted query.
- System 200 includes query processing module 202, language identification/ adjustment module 204, and signal strength determination module 206. These modules, which are in communication with one another, process information retrieved from database 102 in order to determine a language intent of a user submitted query. For example, a user entered query may be received by query processing module 202. Query processing module 202 may further determine a location of the user based on the received user query. A language usage signal from the text of the user query is identified by language identification/adjustment module 204. A strength of the language usage signal is determined based on the received user query and the determined location of the user by signal strength determination module 206.
- language identification/adjustment module 204 adjusts an output language for the query based on the language usage signal. Results for the query are returned according to the output language by the query processing module.
- the modules may be implemented in software (e.g., subroutines and code).
- the software implementation of the modules may operate on web browsers running on client devices 108a-108d.
- some or all of the modules may be implemented in hardware (e.g., an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a state machine, gated logic, discrete hardware components, or any other suitable devices) and/or a combination of both. Additional features and functions of these modules according to various aspects of the subject technology are further described in the present disclosure.
- ASIC Application Specific Integrated Circuit
- FPGA Field Programmable Gate Array
- PLD Programmable Logic Device
- FIG. 3 illustrates example method 300 for determining a language intent of a user submitted query.
- a user query comprising text is received, according to S302.
- a location of the user is determined, according to S304.
- At least one language usage signal from the text of the user query is identified, according to S306.
- the user query may be a search query. For example, an English-speaking individual traveling abroad to Germany may be looking for a local supermarket and enters a search query for "supermarket".
- the user's location may be determined based on the location of the computing device (e.g., Germany) on which the query is entered by the user.
- the term "supermarket" may be identified as having a language usage signal associated with English (this term is traditionally spelled "super notice" in Germany).
- geographically biased proper terms such as a variation of a spelling of a city may be used to identify a language usage signal.
- the local German spelling for the city of Kunststoff is Miinchen.
- alternative spellings for Miinchen in an area where Miinchen is typically used may contribute to the identification of a language usage signal and the determination of the strength of the language usage signal as described in further detail below.
- variations in the organization of data such as addresses may be used to identify a language usage signal.
- the structure for an address includes a street number followed by a street name (e.g., 12 pleasant Street), and city and state/province followed by a postal code (e.g., New York, NY 10012).
- street name precedes street number (e.g., Germany)
- postal code precedes city and state/province (e.g., Brazil, Mexico, and Italy).
- a language usage signal may be identified based on the different organizations of data.
- the different organizations of data may contribute to the determination of the strength of the language usage signal.
- a strength of the at least one language usage signal is determined based on the received user query and the determined location of the user, according to S308. To determine the strength, the language of the identified language usage signal of the user query is compared to a language corresponding to the determined location. In some implementations, a determination that the language of the language usage signal is the same as the language corresponding to the determined location produces a weaker language usage signal strength than a determination that the language of the language usage signal is different from the language corresponding to the determined location. A difference between the language of the identified language usage signal and the language corresponding to the determined location may indicate that the individual entering the query is familiar with a language different from one associated with the location of the computing device used by the individual (i.e., the individual is a foreigner).
- a similarity between the language of the identified language usage signal and the language corresponding to the determined location may not necessarily be an indication that the individual entering the query is familiar with the same language as that associated with the location of the computing device used by the individual. That is, a user may enter a query of text copied and pasted from a source that utilizes the language local to the computing device, which may not be a language with which the user is familiar.
- an English-speaking user looking for directions to a bar while in Germany may cut and paste the text of the address into a search query; however, entering the address in a local language (e.g., using Miinchen as opposed to Kunststoff in the address) does not necessarily indicate that the user is familiar with the local language, since the user may cut and paste the address from a readily available local source.
- a local language e.g., using Miinchen as opposed to Kunststoff in the address
- the strength of the at least one language usage signal is compared to a predetermined threshold, according to S310.
- a predetermined threshold When the strength of the at least one language usage signal is determined to be greater than the predetermined threshold, an output language for the query based on the language usage signal is adjusted, according to S312.
- the determination of the strength of the language usage signal may be based on variations in the spelling of words in different languages. For example, the corresponding translation of
- “supermarket” in German is “supennarkt”, which differs by an omission of a single letter.
- the corresponding translation of "dog” in German is “hund”, which is an entirely different spelling.
- the strength of the language usage signal in the former example may be weaker than the latter example by virtue of the greater variation in spelling.
- the stronger language signal in the latter example may indicate a higher confidence in the determination of a user's language intent, as compared to the former example.
- Results for the query are returned according to the output language, according to S314 If the output language is not adjusted according to S312, then the output language remains the same as the most recent output language of the computing device. However, if the output language has been adjusted, then the query results are returned in a language according to the adjusted output language. For example, when a user query including text in English has been determined to have a language usage signal strength greater than a predetermined threshold, the output language is adjusted based on this determination to be English, and subsequent results of the query are presented to the user in English. The adjustment of the output language to English may be maintained on the computing device for a predetermined duration, as described in detail by reference to FIG. 4 below.
- the adjusted output language may be further used to adjust the language of associated information comprising text (e.g., advertisement blocks) displayed on a webpage with the query results.
- text e.g., advertisement blocks
- the output language may be adjusted to English and thus, the query results are presented in English.
- advertisements on the webpage may also be presented in English.
- advertisements may be modified through the use of a translation layer applied to the web browser in order to present the advertisement in the adjusted output language.
- the text of the advertisement may be translated from German to English in this example
- FIG. 4 illustrates example method 400 for maintaining an adjusted output language on a computing device for a predetermined duration.
- the output language is adjusted based on a language usage signal, according to S402.
- Results for a query are returned according to the adjusted output language, according to S404.
- the method reverts back to S404 to return additional query results in the adjusted output language.
- the output language is reverted to the default language of the computing device in S408. By reverting the output language back to the default language may help ensure that the computing device is restored to its original default state after a user session that causes an adjustment to the output language is complete.
- FIG. 5 provides two examples of determinations of the strength language usage signals based on the received user query and the determined location of the user.
- Examples 502 and 504 are search queries determined to have been performed on computing devices in Berlin, Germany.
- Example 502 shows a user query for "bierhaus Munchen".
- the language usage signal may be identified as German based on the text of the query. However, since the location of the computing device is in Germany and the query is identified as including text in German, the language usage signal may only produce a strength score of 10/100.
- a similarity between the language of the identified language usage signal and the language corresponding to the determined location may not necessarily indicate that the individual is familiar with the same language as that associated with the location of the computing device because the user may enter a query of text copied and pasted from a local source.
- Example 504 which shows a user query for "bar Kunststoff" provides an example of an alternate user query.
- the language usage signal may be identified as English based on the text of the query. Since a difference between the language of the identified language usage signal and the language corresponding to the determined location may indicate that the individual entering the query is familiar with a language different from the one associated with the location of the computing device (i.e., the individual is a foreigner), the language usage signal may produce a strength score of 90/100. While examples 502 and 504 above describe strength scores based on metrics related to the usage of language, other metrics may be used in addition to or in substitution of language, such as differences in the organization of data as described above.
- the term "software” is meant to include firmware residing in readonly memory or applications stored in magnetic storage, which can be read into memory for processing by a processor.
- multiple software aspects of the subject disclosure can be implemented as sub-parts of a larger program while remaining distinct software aspects of the subject disclosure.
- multiple software aspects can also be implemented as separate programs.
- any combination of separate programs that together implement a software aspect described here is within the scope of the subject disclosure.
- the software programs when installed to operate on one or more electronic systems, define one or more specific machine implementations that execute and perform the operations of the software programs.
- a computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, declarative or procedural languages, and it can be deployed in any form, including as a stand alone program or as a module, component, subroutine, object, or other unit suitable for use in a computing environment.
- a computer program may, but need not, correspond to a file in a file system.
- a program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code).
- a computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
- FIG. 6 conceptually illustrates an example electronic system with which some implementations of the subject technology are implemented.
- Electronic system 600 can be a computer, phone, PDA, or any other sort of electronic device. Such an electronic system includes various types of computer readable media and interfaces for various other types of computer readable media.
- Electronic system 600 includes a bus 608, processing unit(s) 612, a system memory 604, a read-only memory (ROM) 610, a permanent storage device 602, an input device interface 614, an output device interface 606, and a network interface 616.
- ROM read-only memory
- Bus 608 collectively represents all system, peripheral, and chipset buses that communicatively connect the numerous internal devices of electronic system 600. For instance, bus 608 communicatively connects processing unit(s) 612 with ROM 610, system memory 604, and permanent storage device 602.
- processing unit(s) 612 retrieves instructions to execute and data to process in order to execute the processes of the subject disclosure.
- the processing unit(s) can be a single processor or a multi-core processor in different
- ROM 610 stores static data and instructions that are needed by processing unit(s) 612 and other modules of the electronic system.
- Permanent storage device 602 is a read-and-write memory device. This device is a non-volatile memory unit that stores instructions and data even when electronic system 600 is off.
- Some implementations of the subject disclosure use a mass-storage device (such as a magnetic or optical disk and its corresponding disk drive) as permanent storage device 602.
- system memory 604 is a read-and-write memory device. However, unlike storage device 602, system memory 604 is a volatile read-and-write memory, such as random access memory. System memory 604 stores some of the instructions and data that the processor needs at runtime. In some implementations, the processes of the subject disclosure are stored in system memory 604, permanent storage device 602, and/or ROM 610. For example, the various memory units include instructions for determining user language intent in accordance with some implementations. From these various memory units, processing unit(s) 612 retrieves instructions to execute and data to process in order to execute the processes of some implementations.
- Bus 608 also connects to input and output device interfaces 614 and 606.
- Input device interface 614 enables the user to communicate information and select commands to the electronic system.
- Input devices used with input device interface 614 include, for example, alphanumeric keyboards and pointing devices (also called “cursor control devices").
- Output device interface 606 enables, for example, the display of images generated by the electronic system 600.
- Output devices used with output device interface 606 include, for example, printers and display devices, such as cathode ray tubes (CRT) or liquid crystal displays (LCD). Some implementations include devices such as a touchscreen that functions as both input and output devices.
- CTR cathode ray tubes
- LCD liquid crystal displays
- bus 608 also couples electronic system 600 to a network (not shown) through a network interface 616.
- the computer can be a part of a network of computers (such as a local area network (“LAN”), a wide area network (“WAN”), or an Intranet, or a network of networks, such as the Internet. Any or all components of electronic system 600 can be used in conjunction with the subject disclosure.
- Such computer- readable media include RAM, ROM, read-only compact discs (CD-ROM), recordable compact discs (CD-R), rewritable compact discs (CD-RW), read-only digital versatile discs (e.g., DVD-ROM, dual-layer DVD-ROM), a variety of recordable/rewritable DVDs (e.g., DVD-RAM, DVD-RW, DVD+RW, etc.), flash memory (e.g., SD cards, mini-SD cards, micro-SD cards, etc.), magnetic and/or solid state hard drives, read-only and recordable Blu-Ray® discs, ultra density optical discs, any other optical or magnetic media, and floppy disks.
- RAM random access memory
- ROM read-only compact discs
- CD-R recordable compact discs
- CD-RW rewritable compact discs
- read-only digital versatile discs e.g., DVD-RAM, DVD-RW, DVD+RW, etc.
- flash memory e.
- the computer-readable media can store a computer program that is executable by at least one processing unit and includes sets of instructions for performing various operations.
- Examples of computer programs or computer code include machine code, such as is produced by a compiler, and files including higher-level code that are executed by a computer, an electronic component, or a microprocessor using an interpreter.
- the terms "computer”, “server”, “processor”, and “memory” all refer to electronic or other technological devices. These terms exclude people or groups of people.
- the tenns display or displaying means displaying on an electronic device.
- the terms "computer readable medium” and “computer readable media” are entirely restricted to tangible, physical objects that store information in a form that is readable by a computer. These terms exclude any wireless signals, wired download signals, and any other ephemeral signals.
- implementations of the subject matter described in this specification can be implemented on a computer having a display device, e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor, for displaying infonnation to the user and a keyboard and a pointing device, e.g., a mouse or a trackball, by which the user can provide input to the computer.
- a display device e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor
- a keyboard and a pointing device e.g., a mouse or a trackball
- Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback; and input from the user can be received in any form, including acoustic, speech, or tactile input.
- a computer can interact with a user by sending documents to and receiving documents from
- Embodiments of the subject matter described in this specification can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the subject matter described in this specification, or any combination of one or more such back end, middleware, or front end components.
- the components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network.
- Examples of communication networks include a local area network (“LAN”) and a wide area network (“WAN”), an inter-network (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks).
- LAN local area network
- WAN wide area network
- inter-network e.g., the Internet
- peer-to-peer networks e.g., ad hoc peer-to-peer networks.
- the computing system can include clients and servers.
- a client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
- a server transmits data (e.g., an HTML page) to a client device (e.g., for purposes of displaying data to and receiving user input from a user interacting with the client device).
- client device e.g., for purposes of displaying data to and receiving user input from a user interacting with the client device.
- Data generated at the client device e.g., a result of the user interaction
- a phrase such as an "aspect” does not imply that such aspect is essential to the subject technology or that such aspect applies to all configurations of the subject technology.
- a disclosure relating to an aspect may apply to all configurations, or one or more configurations.
- a phrase such as an aspect may refer to one or more aspects and vice versa.
- a phrase such as a “configuration” does not imply that such configuration is essential to the subject technology or that such configuration applies to all configurations of the subject technology.
- a disclosure relating to a configuration may apply to all configurations, or one or more configurations.
- a phrase such as a configuration may refer to one or more configurations and vice versa.
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA2811613A CA2811613C (en) | 2011-11-30 | 2012-11-06 | System and method for determining user language intent |
KR1020137005150A KR101450794B1 (en) | 2011-11-30 | 2012-11-06 | System and method for determining user language intent |
EP12823070.3A EP2786278A4 (en) | 2011-11-30 | 2012-11-06 | System and method for determining user language intent |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/308,475 | 2011-11-30 | ||
US13/308,475 US8386477B1 (en) | 2011-11-30 | 2011-11-30 | System and method for determining user language intent |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2013081781A2 true WO2013081781A2 (en) | 2013-06-06 |
WO2013081781A3 WO2013081781A3 (en) | 2015-06-25 |
Family
ID=47721324
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2012/063737 WO2013081781A2 (en) | 2011-11-30 | 2012-11-06 | System and method for determining user language intent |
Country Status (6)
Country | Link |
---|---|
US (2) | US8386477B1 (en) |
EP (1) | EP2786278A4 (en) |
KR (1) | KR101450794B1 (en) |
AU (1) | AU2013200632B1 (en) |
DE (1) | DE202012013394U1 (en) |
WO (1) | WO2013081781A2 (en) |
Families Citing this family (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9798720B2 (en) | 2008-10-24 | 2017-10-24 | Ebay Inc. | Hybrid machine translation |
US9519714B2 (en) * | 2010-12-22 | 2016-12-13 | Microsoft Technology Licensing, Llc | Presenting list previews among search results |
TWI504860B (en) * | 2013-06-14 | 2015-10-21 | Insyde Software Corp | An electronic device and how to launch an app based on address information |
US20150050816A1 (en) | 2013-08-19 | 2015-02-19 | Korea Atomic Energy Research Institute | Method of electrochemically preparing silicon film |
JP2017504876A (en) * | 2013-12-09 | 2017-02-09 | グーグル インコーポレイテッド | System and method for providing context-based definition and translation of text |
US9589564B2 (en) * | 2014-02-05 | 2017-03-07 | Google Inc. | Multiple speech locale-specific hotword classifiers for selection of a speech locale |
US9805120B2 (en) * | 2014-02-14 | 2017-10-31 | Microsoft Technology Licensing, Llc | Query selection and results merging |
US9569526B2 (en) * | 2014-02-28 | 2017-02-14 | Ebay Inc. | Automatic machine translation using user feedback |
US9530161B2 (en) | 2014-02-28 | 2016-12-27 | Ebay Inc. | Automatic extraction of multilingual dictionary items from non-parallel, multilingual, semi-structured data |
US20150261880A1 (en) * | 2014-03-15 | 2015-09-17 | Google Inc. | Techniques for translating user interfaces of web-based applications |
US10127228B2 (en) * | 2016-04-13 | 2018-11-13 | Google Llc | Techniques for proactively providing translated text to a traveling user |
CN110033338A (en) * | 2018-01-11 | 2019-07-19 | 北京搜狗科技发展有限公司 | Recommended method and device, the device for recommendation |
US11354521B2 (en) | 2018-03-07 | 2022-06-07 | Google Llc | Facilitating communications with automated assistants in multiple languages |
EP3723084A1 (en) | 2018-03-07 | 2020-10-14 | Google LLC | Facilitating end-to-end communications with automated assistants in multiple languages |
DE102020202427A1 (en) | 2020-02-26 | 2021-08-26 | Volkswagen Aktiengesellschaft | Method, computer program and device for adapting a system language of a user interface |
WO2022039745A1 (en) * | 2020-08-20 | 2022-02-24 | Google Llc | Selecting from arrays of multilingual content |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050195173A1 (en) * | 2001-08-30 | 2005-09-08 | Mckay Brent | User Interface for Large-Format Interactive Display Systems |
US20040186769A1 (en) * | 2003-03-21 | 2004-09-23 | Mangold Bernard P. | System and method of modifying the price paid by an advertiser in a search result list |
US20070027905A1 (en) | 2005-07-29 | 2007-02-01 | Microsoft Corporation | Intelligent SQL generation for persistent object retrieval |
WO2007143706A2 (en) * | 2006-06-07 | 2007-12-13 | Accoona Corp. | Apparatuses, methods and systems for language neutral search |
US8239274B2 (en) * | 2007-01-11 | 2012-08-07 | Microsoft Corporation | Purchasing of individual features of a software product |
US20080222119A1 (en) * | 2007-03-08 | 2008-09-11 | Microsoft Corporation | Detecting a user's location, local intent and travel intent from search queries |
US7890493B2 (en) * | 2007-07-20 | 2011-02-15 | Google Inc. | Translating a search query into multiple languages |
US20090234570A1 (en) * | 2008-03-13 | 2009-09-17 | Sever Gil | Method and apparatus for universal and unified location representation and its interaction with gps devices |
US7987195B1 (en) * | 2008-04-08 | 2011-07-26 | Google Inc. | Dynamic determination of location-identifying search phrases |
EP2341450A1 (en) * | 2009-08-21 | 2011-07-06 | Mikko Kalervo Väänänen | Method and means for data searching and language translation |
-
2011
- 2011-11-30 US US13/308,475 patent/US8386477B1/en active Active
-
2012
- 2012-11-06 AU AU2013200632A patent/AU2013200632B1/en active Active
- 2012-11-06 DE DE202012013394.2U patent/DE202012013394U1/en not_active Expired - Lifetime
- 2012-11-06 EP EP12823070.3A patent/EP2786278A4/en not_active Withdrawn
- 2012-11-06 KR KR1020137005150A patent/KR101450794B1/en active IP Right Grant
- 2012-11-06 WO PCT/US2012/063737 patent/WO2013081781A2/en active Application Filing
-
2013
- 2013-02-01 US US13/757,656 patent/US8874599B2/en active Active
Non-Patent Citations (1)
Title |
---|
See references of EP2786278A4 * |
Also Published As
Publication number | Publication date |
---|---|
KR101450794B1 (en) | 2014-10-15 |
US8386477B1 (en) | 2013-02-26 |
US8874599B2 (en) | 2014-10-28 |
EP2786278A4 (en) | 2016-05-25 |
EP2786278A2 (en) | 2014-10-08 |
US20130144900A1 (en) | 2013-06-06 |
WO2013081781A3 (en) | 2015-06-25 |
DE202012013394U1 (en) | 2016-11-22 |
AU2013200632B1 (en) | 2013-03-28 |
KR20130097739A (en) | 2013-09-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8386477B1 (en) | System and method for determining user language intent | |
US9100337B1 (en) | Enabling cookies for a website | |
US10067628B2 (en) | Presenting open windows and tabs | |
US9600258B2 (en) | Suggestions to install and/or open a native application | |
CA2814271A1 (en) | System and method for obtaining a structured address by geocoding unstructured address information | |
EP3030989B1 (en) | Providing information in association with a search field | |
US9641590B2 (en) | Resuming session states | |
US9529867B1 (en) | System and method for providing a dynamic dashboard | |
AU2013205127B2 (en) | Graphical view of social content streams | |
US10445413B2 (en) | Sharing links which include user input | |
US8886644B1 (en) | User control of search filter bubble | |
US20160070770A1 (en) | Suggesting social groups from user social graphs | |
CA2811613C (en) | System and method for determining user language intent | |
US9721032B2 (en) | Contextual URL suggestions | |
US20140344834A1 (en) | Providing audible notifications for webmail applications | |
US9203908B2 (en) | System an method for disambiguating cookies | |
AU2016399752B2 (en) | Secondary computing device assistant | |
US9015195B1 (en) | Processing multi-geo intent keywords |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 2012823070 Country of ref document: EP |
|
ENP | Entry into the national phase |
Ref document number: 20137005150 Country of ref document: KR Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2811613 Country of ref document: CA |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 12823070 Country of ref document: EP Kind code of ref document: A2 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |