International Business Machines Corporation

Nuance Communications, Inc.

John Ferdinand Pitrelli

Michael Peter Perrone

Eugene Henry Ratzlaff

Jayashree Subrahmonia

Krishna Sundaram Nathan

David Angelo Ferrucci

James Robert Lewis

James Randal Moulic

Radu Florian

Girija Yegnanarayanan

Andrew Aaron

Martin Franz

Gregory Fraser Russell

Thomas Yu-Kiu Kwok

Kenneth Blair Ocheltree

Salim E Roukos

Brian William Delaney

Imed Zitouni

Vijai Gandikota

Edward J Biddle

Neal Snider

Avinash Asthana

Scott McCarley

Embodiments provide a computer implemented method in a data processing system including a processor and a memory, the memory including instructions that are executed by the processor to cause the processor to implement a system for generating a type system. The method includes: receiving a document corpus; identifying frequently occurring words from the document corpus, disregarding stop words; extracting a conceptual text for each frequently occurring word from a structured information database; performing a cluster analysis on each conceptual text to identify possible entity types; performing a frequency analysis on possible entity types to select at least one entity type; identifying a relation type between entities in the document corpus; and generating the type system including entity types and relation types.

Generation of domain specific type system

Cascaded models may be applied to extract facts from a medical text. A first model may be applied to at least a portion of the medical text. The first model extracts at least one first medical fact. The at least one first medical fact is linked to at least first text in the at least a portion of the medical text. A second model may be applied to the first text. The second model extracts at least one second fact that is an attribute of the at least one first medical fact.

Methods and apparatus for extracting facts from a medical text

A method (and system) which autonomously generates a cohesive script from a text database for creating a speech corpus for concatenative text-to-speech, and more particularly, which generates cohesive scripts having fluency and natural prosody that can be used to generate compact text-to-speech recordings that cover a plurality of phonetic events.

Autonomous system and method for creating readable scripts for concatenative text-to-speech synthesis (TTS) corpora

The techniques in the present invention allow both text and handwritten queries, and the queries can be single-word or multiword. Generally, each handwritten word in a handwritten document is converted to a document stack of words, where each document stack contains a list of text words and a word score of some type for each text word in the list. The query is also converted to one or more stacks of words. A measure is determined from each query and document stack. Documents that meet search criteria in the query are then selected based on the query and the values of the measures. The present invention also performs multiple recognitions, with multiple recognizers, on a handwritten document to create multiple recognized transcriptions of the document. The multiple transcriptions are used for document retrieval. In another embodiment, a single transcription is created from the multiple transcriptions, and the single transcription is used for document retrieval.

Retrieving handwritten documents using multiple document recognizers and techniques allowing both typed and handwritten queries

A handwriting recognition system and method whereby various character sequences (which are typically &ldquo;slurred&rdquo; together when handwritten) are each modelled as a single character (&ldquo;compound character model&rdquo;) so as to provide increased decoding accuracy for slurred handwritten character sequences. In one aspect of the present invention, a method for generating a handwriting recognition system having compound character models comprises the steps of: providing an initial handwriting recognition system having individual character models; collecting and labelling a set of handwriting data; aligning the labelled set of handwriting data; generating compound character data using the aligned handwriting data; and retraining the initial recognition system with the compound character data to generate a new recognition system having compound character models. Once these compound character models are trained, they may be used to accurately decode slurred handwritten character sequences for which compound character models were previously generated. Once recognized, the compound characters are expanded into the constituent individual characters comprising the compound character.

Handwriting recognition system and method using compound characters for improved recognition accuracy

A data recognition system and method which allows a user to select between a &ldquo;default recognition&rdquo; mode and a &ldquo;constrained recognition&rdquo; mode via a user interface. In the default recognition mode, a recognition engine utilizes predetermined default recognition parameters to decode data (e.g., handwriting and speech). In the constrained recognition mode, the user can select one or more of a plurality of recognition constraints which temporarily modify the default recognition parameters to decode uncharacteristic and/or special data. The recognition parameters associated with the selected constraint enable the recognition engine to utilize specific information to decode the special data, thereby providing increased recognition accuracy.

System and method for providing user-directed constraints for handwriting recognition

System and methods for visually displaying page information in a handwriting recording device such as a personal digital notepad (PDN) device, in which constraints exist which limit the size of a user interface display (e.g. LCD). Various methods allow a user to view detailed page information by selecting one or more available display modes which display the selected information using one or more dynamic icons. In addition, the user can view (via the display) selected portions of handwriting content of a given electronic page, thereby affording the user the opportunity to synchronize the stored handwriting data with the handwritten text.

System and method for displaying page information in a personal digital notepad

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Danbury, CT, United States of America

John Ferdinand Pitrelli