Yigal S Attali

8202098, Jun 19, 2012

Feb 28, 2006

11/364165

Yigal Attali - Lawrenceville NJ, US

Educational Testing Service - Princeton NJ

G09B 3/00

434322, 434323, 434353, 434354

A method and system for customizing an automated essay scoring system are disclosed. Relative weights may be assigned to a plurality of features for a plurality of benchmark essay responses. Based on the relative weights, automated scores may be determined for one or more first essay responses to a first prompt. The automated scores may be scaled based on one or more scoring standards for the first prompt. A scaled automated score may be assigned for a second essay response to the first prompt based on the scaled automated scores for the one or more first essay responses.

8275306, Sep 25, 2012

Apr 20, 2006

11/379488

Yigal Attali - Lawrenceville NJ, US

Educational Testing Service - Princeton NJ

G09B 7/00

434353, 434322, 434323, 434350

A method, system and processor-readable storage medium for evaluating vocabulary similarity are disclosed. A generic rate may be determined for each word in a plurality of first responses. Each first response may respond to one of a plurality of first prompts. At least one first response may respond to each of the first prompts. A specific rate may be determined for each word in a plurality of second responses, which each respond to a second prompt. A target response may be received that is associated with the second prompt and has a plurality of words. A vocabulary similarity index may be computed for the target response based on one or more generic rates and on or more specific rates. A determination of whether the target response is off-topic may be made based on the vocabulary similarity index for the target response.

8472861, Jun 25, 2013

Oct 13, 2010

12/903373

Vyacheslav Andreyev - Pennington NJ, US
Yigal Attali - Lawrenceville NJ, US
Jill Burstein - Princeton NJ, US

Educational Testing Service - Princeton NJ

G09B 11/00
G09B 7/00

434353

Systems and methods for building a model for use in grading an essay are provided. A plurality of human graded essays are evaluated using a processor to generate a set of features. A score category is determined for each of the plurality of human graded essays. A weight is produced using a processor for each feature based on the score category for each of the plurality of human graded essays and the set of features. A model is generated using a processor based on the weights for the set of features for evaluating an essay. The set of features includes n features, where the first k features have optimized weights, and the last n−k features have fixed predetermined weights.

8632344, Jan 21, 2014

May 25, 2012

13/481020

Yigal Attali - Lawrenceville NJ, US

Educational Testing Service - Princeton NJ

G09B 3/00

434322, 434323, 434353

A method and system for customizing an automated essay scoring system are disclosed. Relative weights may be assigned to a plurality of features for a plurality of benchmark essay responses. Based on the relative weights, automated scores may be determined for one or more first essay responses to a first prompt. The automated scores may be scaled based on one or more scoring standards for the first prompt. A scaled automated score may be assigned for a second essay response to the first prompt based on the scaled automated scores for the one or more first essay responses.

20040259067, Dec 23, 2004

May 17, 2004

10/847268

Preston Cody - San Antonio TX, US
Yigal Attali - Lawrenceville NJ, US
William Neary - Newtown PA, US

G06F017/30
G09B007/00

434/323000

A method for permitting a user of a recording device that produces information both on a physical document and within an electronic memory to change a selected response is disclosed. Additionally, the method permits the user to reselect a previously deselected response. Moreover, methods for managing identification information for multiple users using one or more recording devices and for administering an exam to multiple users using multiple recording devices are disclosed.

20050142529, Jun 30, 2005

Oct 27, 2004

10/974530

Yvacheslav Andreyev - Pennington NJ, US
Yigal Attali - Lawrenceville NJ, US
Jill Burstein - Princeton NJ, US

G09B003/00

434362000, 434322000, 434323000, 434118000

A method of grading an essay using an automated essay scoring system is provided. The method comprises the steps of deriving a set of predetermined features from the essay, wherein the predetermined feature set comprises one or more features that are independent from the test prompt, scoring the feature set with a scoring equation, wherein a multiple regression analysis with graded essay data produces weights for the scoring equation, generating a raw score for the essay; and processing the raw score for the essay into a score category based on an adaptive cutoff algorithm. Also provided is a method of generating a model in which to grade essays, wherein the data used to generate the model is independent from the test prompt or essay topic.

20130004931, Jan 3, 2013

Jun 28, 2012

13/535534

Yigal Attali - Princeton NJ, US

G09B 7/00

434353

Systems and methods are provided for scoring speech. A speech sample is received, where the speech sample is associated with a script. The speech sample is aligned with the script. An event recognition metric of the speech sample is extracted, and locations of prosodic events are detected in the speech sample based on the event recognition metric. The locations of the detected prosodic events are compared with locations of model prosodic events, where the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script. A prosodic event metric is calculated based on the comparison, and the speech sample is scored using a scoring model based upon the prosodic event metric.