A virtual cognitive agent (VCA) system comprises social media communication channels integrated with machine cognition engines. The VCA system connects to an external message platform and accesses posted messages. An intent is determined and sentiment analysis is performed on text elements from the intercepted messages to determine handling of the message. The integrated machine cognition engines determine a response to the captured message. The VCA system may access a corpus or exchange data with the originator of the post or another entity to determine the response. The integrated social media communication channels may connect to an external query response platform and communicate the response to the query response platform.

A system for generating a set of questions about an upcoming product characterized by a number of product characteristics. The system identifies similar products having one or more of the same product characteristics. The system searches for and finds product statements associated with each of the similar products, rephrases the product statements to be questions about the upcoming product, then ranks the questions to create the set of questions about the upcoming product.

Portable, real time voice translation systems, and associated methods of use, are provided. The systems include a translation system for use on a single unit, portable computing device and operable for accessing a multilanguage database, selecting a source language from a plurality of source languages and a destination language from a plurality of destination languages, inputting a source phrase, transmitting the source phrase to a speech recognition module, a translation engine, and a template look-up engine for finding the phrase template associated with the destination phrase from among the multiple languages. The spoken translation is then output in the selected destination language. The translation system has a total time between the input of the source phrase and output of the destination phrase that is no slower than 0.010 seconds, and a communications interface operable for communicating with a second computer system.

A system and method with the following features is disclosed: receiving a partial name of a resource having an attribute moniker and attribute value; receiving a context associated with an attribute space moniker, an attribute moniker and an attribute value; receiving a schema associated with a set that includes an attribute space moniker and an attribute moniker; identifying a missing moniker that is present in the set but not the partial name; adding a missing moniker that is an attribute space moniker to the partial name; when a missing moniker is not an attribute space moniker, identifying a context where the attribute moniker is associated with the missing moniker and an attribute space moniker is present in the partial name or set; adding the context's attribute moniker and attribute value to the partial name; and returning the partial name with the added monikers and attribute values as the full name.

Mechanisms are provided for performing tabular data correction in a document. The mechanisms receive a natural language document comprising a portion of content and analyze the portion of content within the natural language document to identify an erroneous sub-portion comprising an erroneous or missing item of information. The mechanisms generate a semantic signature for the erroneous sub-portion and generate a query based on the semantic signature. The mechanisms apply the query to a knowledge base to identify a candidate sub-portion of content. The mechanisms correct the erroneous sub-portion using the identified candidate sub-portion of content to generate a corrected natural language document.

A recognition method of natural language for machine thinking, consisting of the following procedures: (1) Establishing a database matching with predicate calculus-like form word meanings. (2) Inputting natural language information. (3) Segmentation processing of said natural language for machine thinking line by line, and transition to be one or more than one predicate calculus-like form sentence according to segmentation processing rule. (4) Converting said multiple predicate calculus-like form sentence to electrical signal recognized by machine, and then input them to center processing unit, and undertake more than one procedures from search, recognition, recursion and substitution to execute functional process with logic deduction, metaphor or creative thinking in order to create new combination for digital codes. (5) Converting said digital codes combination retrospectively to a new natural language matching original natural language information input and store them as output or learning outcome.

Methods and apparatus directed to utilizing an automated messaging system to initiate and/or adapt a dialog with at least one user, where the dialog occurs via user interface input and output devices of at least one computing device of the user. In some of those implementations, the automated messaging system identifies at least one task associated with the user and initiates the dialog with the user based on identifying the task. The automated messaging system may initiate the dialog to provide the user with additional information related to the task and/or to determine, based on user input provided during the dialog, values for one or more parameters of the task. In some implementations, the automated messaging system may further initiate performance of the task utilizing parameters determined during the dialog.

Some implementations are directed to translating chatspeak to a normalized form, where the chatspeak is included in natural language input formulated by a user via a user interface input device of a computing device—such as input provided by the user to an automated assistant. The normalized form of the chatspeak may be utilized by the automated assistant in determining reply content that is responsive to the natural language input, and that reply content may be presented to the user via one or more user interface output devices of the computing device of the user. Some implementations are additionally and/or alternatively directed to providing, for presentation to a user, natural language output that includes chatspeak in lieu of a normalized form of the chatspeak, based at least in part on a “chatspeak measure” that is determined based on past usage of chatspeak by the user and/or by additional users.

The embodiments herein achieve a picture based communication system. The system allows users option to select one or more pictures, and any associated attributes. The selection of one or more pictures, and any associated attributes is taken as input. The selected words and attributes are converted to a graph representation, and subsequently the graph representation is converted to a sentence in target language. The method further involves predicting new relations, words, and attributes for further selection by user.

Architecture that facilitates language conversion and previewing of a message attachment in multiple different languages. The architecture can be employed in a messaging application or a personal information manager program, for example, such that the message attachment can be selected and designated for conversion into a different language, and then previewed in the different language. For example, a first language can be simplified Chinese and a second language can be traditional Chinese, such that the user can toggle the preview to view the attachment in the simplified or traditional Chinese languages. The attachment can be a word processing document, a spreadsheet document, a presentation document for the presentation of information, and/or a web feed document. Additionally, the attachment can be one of multiple attachments to the message that is selected by the user.