At&t Intellectual Property I, L.p.

At+t Corp.

Nippon Telegraph and Telephone Corporation

Jeremy Huntley Wright

Allen Louis Gorin

Giuseppe Riccardi

Marilyn Ann Walker

Irene Langkilde Geary

Dijana Petrovska-Delacretaz

Alicia Abella

Mazin G Rahim

Bruce Melvin Buntschuh

Dilek Zeynep Hakkani-Tur

Gokhan Tur

Chaim Spielman

John Grothendieck

Kazuhiro Arai

Diane Judith Litman

John Hogoboom

Brian Scott Amento

Jay Gordon Wilpon

Larry Stead

David Gross

Allcia Abella

Philip Isenhour

Frederic Bechet

Systems and methods for efficiently detecting and coordinating step changes, trends, cycles, and bursts affecting lexical items within data streams are provided. Data streams can be sourced from documents that can optionally be labeled with metadata. Changes can be grouped across lexical and/or metavalue vocabularies to summarize the changes that are synchronous in time. The methods described herein can be applied either retrospectively to a corpus of data or in a streaming mode.

Systems and methods for detecting and coordinating changes in lexical items

Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Modeling and outlier detection in threat management system data

A method and apparatus are provided for automatically acquiring grammar fragments for recognizing and understanding fluently spoken language. Grammar fragments representing a set of syntactically and semantically similar phrases may be generated using three probability distributions: of succeeding words, of preceding words, and of associated call-types. The similarity between phrases may be measured by applying Kullback-Leibler distance to these tree probability distributions. Phrases being close in all three distances may be clustered into a grammar fragment.

Grammar fragment acquisition using syntactic and semantic clustering

A method and apparatus for botnet analysis and visualization. Network traffic is filtered to compile a list of messages. The identified messages are tokenized, classified, and aggregated and changes in the frequency of tokenized messages are identified. A display of the tokenized messages is generated and displayed via a user interface. The user interface is configured to a allow a user to review data generated based on the filtered network traffic in order to detect potential botnet activity. User input may be used to adjust filtering and tokenization of the messages.

Method and apparatus for botnet analysis and visualization

A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.

Recognizing the numeric language in natural spoken dialogue

The invention comprises computer-readable media, methods and systems for performing a dialog analysis and using that analysis to release an updated spoken dialog system. The method embodiment of the invention comprises receiving data associated with dialogs, extracting turn by turn details of the dialog and generating from the extracted details an empirical call-flow representation of the dialog. The call data may be call-logs and user audio. The empirical call-flow representation may be a finite-state machine with nodes that represent call-states and the arcs between nodes represent user responses. Nodes may also represent sub-dialogs. The call-flow representation is presented graphically to a user for easier analysis and understanding. Significant changes in the dialog can be identified as hot-spots for improvement in the next release of the spoken dialog system.

System and method of dialog trajectory analysis

A method and apparatus are provided for automatically acquiring grammar fragments for recognizing and understanding fluently spoken language. Grammar fragments representing a set of syntactically and semantically similar phrases may be generated using three probability distributions: of succeeding words, of preceding words, and of associated call-types. The similarity between phrases may be measured by applying Kullback-Leibler distance to these three probability distributions. Phrases being close in all three distances may be clustered into a grammar fragment.

A system and a method are provided. A textual transcript of a recorded voice communication is received. Text from a non-voice communication is received. Information about the textual transcript of the recorded voice communication and the text from the non-voice communication is provided such that a user can manage a group of communications, based at least in part on the textual transcript of the recorded voice communication and the text from the non-voice communication.

System and method for integrating and managing E-mail, voicemail, and telephone conversations using speech processing techniques

In an embodiment, a lattice of phone strings in an input communication of a user may be recognized, wherein the lattice may represent a distribution over the phone strings. Morphemes in the input communication of the user may be detected using the recognized lattice. Task-type classification decisions may be made based on the detected morphemes in the input communication of the user.

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Warren, NJ, United States of America

Jeremy Huntley Wright