Microsoft Technology Licensing, LLC

Matthew Robert Scott

Weipeng Liu

Hao Wei

Xi Chen

Huihua Hou

Ming Zhou

Gang Chen

Weijiang Xu

Jing Zhao

Raman Chandrasekar

Kun Jing

Chiwei Che

Dean A Slawson

Xiaohua Liu

Byron Huntley Changuion

Yaping Liu

Rongfeng Lai

Yonghong Shi

Fan Yang

Chao Wang

Chen Zhao

Ji-Rong Wen

Ruihua Song

Long Jiang

Jin Shi

Xin-Jing Wang

Mu Li

Ye Xu

Daniel J Makoski

Richard Joseph Sgro

Chi-Ho Li

Ruochi Zhang

Quan Yong Tang

Xianjun Huang

Jonathan Tien

Henry Li

Kaihua Yin

Dharmarajan Ratnagiri Ayakkad

Gonglue Jiang

Fang Zou

Chi Ho Li

Dongzhi Xia

Tzuwei Shih

An input method editor (IME) provides a distributed platform architecture that enables associating multiple applications with the IME to provide extended functionalities. The presentations of the applications, such as skins, may be different from each other and that of the IME. The applications may be represented in a manifest file that is human-readable and editable. The IME collects multiple parameters relating to a user input into a host application including a query input by the user and a scenario of the host application, and selects one or more applications to provide candidates based on a score or ranking of the applications under the collected multiple parameters. Machine-learning may be used to improve the score or ranking. The candidates may include text candidates, rich candidates, and informative candidates.

Input method editor application platform

An input method editor (IME) configured to provide language assistance across a plurality of applications is disclosed. In one example, the IME is adapted for use by English-as-a-second-language (ESL) users. In a specific example, language assistance may be provided by first detecting a need to suggest a substitute word to a user who is typing within an application. The detection may be based on a probability that a current word is in error. If a need is detected, a suggestion may be obtained for the word, such as from a cloud linguistic service or from a local lexicon and language-model, if network connectivity is poor. Once obtained, the suggestion may be displayed to the user in a non-intrusive manner by user interface element(s). Interaction with the user allows the user to accept or reject the suggestion, and perform other functions, such as relocating user interface elements utilized by the display.

Input method editor providing language assistance

An input method editor (IME) described herein couples scenarios of the input of the user with specific network services to offer more relevant and richer candidates for higher input productivity. Data relating to a computer application in which the input candidates are to be input and/or context relating to a user-submitted query is collected and analyzed to determine a scenario. The input candidates may include text candidates and rich candidates. The IME may select a scenario-tuned and type specific engine to identify the text candidates and/or rich candidates. The scenario-tuned text candidate engines leverage scenario-tuned language models and lexicons, and the scenario-tuned rich candidate engines leverage scenario-relevant web services, such as image, mapping, and video search, when available and appropriate.

Scenario-adaptive input method editor

Controlling assistance information comprises determining a user mode based on computer input signals generated by a user. If the user is in a passive mode and assistance information is detected, the assistance information is disabled in response to detecting a hidden signal. The assistance information is then enabled if later a reset signal is detected. If the user is in passive mode and assistance information is not detected, the assistance information is enabled in response to detecting a trigger signal. If the user is in an active mode and assistance information is detected, the assistance information is disabled.

Assistance information controlling

Some implementations provide techniques and arrangements for semantic lexicon based processing, such as in an input method editor. In some instances, a semantic label may be received that is to be defined for a semantic lexicon and at least a first term may be identified as a positive or negative example of the semantic label. In response, some examples may label at least a second term in the semantic lexicon with the semantic label based at least in part on the identification of the first term as a positive or negative example of the semantic label.

Semantic lexicon-based input method editor

A candidate for selection or insertion may be based on extracted candidate features and reference features. The candidate features may be scored and ranked while candidates may be removed from consideration based on criteria. The remaining candidates may be presented for selection and/or insertion.

Feature-based candidate selection

Interactive synchronization of Web data and spreadsheets is usable to build data wrappers based on any type of data found in a document. Such data wrappers can be used to interact with source documents, crawl a network for additional data, map data from across domains, and/or synchronize data from dynamic Web documents.

Interactive synchronization of web data and spreadsheets

The customization of an application user interface with a skin package based on context data that includes the emotional states of a user may strengthen the emotional attachment for the application by the user. The customization includes determining an emotional state of a user that is inputting content into an application. A skin package for the user interface of the application is selected based on the emotional state of the user. The selected skin package is further applied to the user interface of the application.

Sentiment aware user interface customization

Tools and techniques for a polymorphic query box operating on a computing device are described herein. The polymorphic query box application provides an adaptive query box via a single graphical user interface that detects an input scenario based on the type of input received via the polymorphic query box. In accordance with the detected scenario, the polymorphic query box dynamically changes appearance and function. In some implementations, the techniques include the polymorphic application ordering web search and/or translation based on the input being received. In some implementations, the techniques include providing context sensitive controls for input editing before completing the query.

Query box polymorphism

Implementing business intelligent in-document suggestion may include detecting a content that a user is inputting into a document or selecting from the document. Based on the content, a key word may be extracted to generate a query. The query may be transmitted to an enterprise search engine for enterprise intelligence. Based on returned search results, a suggestion may be generated and presented to a user device by integrating the suggestion into the document. In some embodiments, the suggestion may include a people suggestion, a document suggestion, a phrase suggestion and a document template suggestion. In some embodiments, adding an additional content or selecting a subset of the content may refine the suggestion.

Business intelligent in-document suggestions

Method for inserting a barcode image in a document including receiving a request to encode one or more properties about the document as a barcode image in the document, the request being received through a document editor, generating the barcode image based on the properties, wrapping the barcode image inside a container object, and inserting the container object into the document.

Encoding, updating, and decoding barcodes in a document

Techniques for interactively presenting word-alignments of multilingual translations and automatically improving those translations based upon user feedback are described herein. With one or more implementations of the techniques described herein, a word-alignment user-interface (UI) concurrently displays a pair of bilingual sentences, where one is a translation of the other, and interactively highlights linked (i.e., 'word-aligned') words and phrases of the pair. Other implementations of the techniques described herein offer an option for a user to provide feedback about the existing word-alignments or realign the words or phrases. In still other described implementations, word-alignment is automatically improved based upon that user feedback.

Interactive multilingual word-alignment techniques

Described herein is a technology that facilitates efficient wild card auto completion of an input term. The technology supports the input term including multiple, predefined, distinct wild card characters, escape characters, special characters with language specific functionality, delimiters, and context designation. Wild card auto completion is based on a regular expression engine that supports the multiple, predefined, wild card characters. In addition, the technology supports a single input that may include multiple parts including context, domain, parts of speech, and a number of words in a result phrase. In various embodiments the technology facilitates pattern optimization to merge a subset of consecutive homogenous wild card characters and provides a selection of matching tools based on criteria including the type of wild card character included in the input term and where the wild card character appears in the input term as well as context.

Wild card auto completion

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Beijing, China

Matthew Robert Scott