Disney Enterprises, Inc.

Sean O'Dell

Paul Pak

Vita G Markman

Drew Beechum

Marc Adam Silbey

Christian P Shrigley

Arkady G Trestman

Lane Merrifield

Andrew R Beechum

Kip Martin

Steven Ligatsa

Cory Bates

Stephane Jankowski

Kevin O'Sullivan

A method and system is disclosed for evaluating a chat message sent between users of an online environment. The method may include receiving a chat message and parsing the message into words. The method determines the acceptability of the message by matching the message to a plurality of acceptable messages stored in a data structure. Upon determining the message does not match any acceptable messages, the method replaces each word in the message with grammatical metadata. The method may use templates to determine if the message has acceptable word combinations based on the metadata. The method may also compare the metadata to rules wherein the rules determine if the message has unacceptable word combinations based on the metadata. The method may send the message to a user upon determining words in the message do not match any word in a list of unacceptable words.

Real-time search and validation of phrases using linguistic phrase components

A method is disclosed for evaluating a chat message sent between users of an online environment. The method may include associating each word in the chat message with metadata. The metadata identifies a word type and usage for each word in the chat message. This method may also include identifying one or more safety rules associated with the metadata. Each safety rule identifies an ordered sequence of one or more sets of words. This method may also include applying the safety rule to the chat message to determine whether a sequence of words in the chat message present in the ordered sequence of sets of words. Upon determining a word, from each set of words in the ordered sequence of sets of words, matches a respective one of the words in the chat message, the chat message is blocked from being sent to a message recipient.

Comprehensive safety schema for ensuring appropriateness of language in online chat

Techniques are disclosed for supplying users in an online environment with a safe and effective chat facility. The chat facility is 'safe' in the sense that the ability of users to compose inappropriate messages is greatly restricted, while 'effective' in the sense that users are still allowed a broad range of expressivity in composing and exchanging chat messages.

Soft-sending chat messages

System, method, and computer program product to autocorrect text for the purpose of matching words from an approved corpus, by: responsive to receiving a text input comprising a first word, validating the first word against a content corpus, wherein the content corpus comprises a plurality of words approved for display in an online chat, validating the first word against a set of rules, and upon determining that the first word of the text input is not validated against at least one of the content corpus and the set of rules, modifying the text input by replacing the first word with a first approved word from the content corpus.

Autocorrecting text for the purpose of matching words from an approved corpus

Dynamically generated phrase-based assisted input

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West Hills, CA, United States of America

Sean O'Dell