| Educational Testing Service Patent applications |
| Patent application number | Title | Published |
| 20110320498 | Systems and Methods for Optimizing Very Large N-Gram Collections for Speed and Memory - A computer memory stores a data structure representing a ternary search tree (TST) representing multiple word n-grams for a corpus of documents. The data structure includes plural records in a first memory, each record representing a node of the TST and comprising plural fields. At least some n-grams have a sequence of units. The plurality of fields includes one for identifying a given unit of the sequence for a given node, one reserved for storing payload information for the given node, and plural child fields reserved for storing information for a first, second and third child nodes of the given node. The child fields store a null value indicating the absence of the child node or an identifier identifying a memory location of the child node. For at least one record, at least one of the child fields stores an identifier identifying a memory location of a memory different than the first memory. | 12-29-2011 |
| 20100145698 | Systems and Methods for Assessment of Non-Native Spontaneous Speech - Computer-implemented systems and methods are provided for assessing non-native spontaneous speech pronunciation. Speech recognition on digitized speech is performed using a non-native acoustic model trained with non-native speech to generate word hypotheses for the digitized speech. Time alignment is performed between the digitized speech and the word hypotheses using a reference acoustic model trained with native-quality speech. Statistics are calculated regarding individual words and phonemes in the word hypotheses based on the alignment. A plurality of features for use in assessing pronunciation of the speech are calculated based on the statistics, an assessment score is calculated based on one or more of the calculated features, and the assessment score is stored in a computer-readable memory. | 06-10-2010 |
| 20100112541 | Method for estimating examinee attribute parameters in cognitive diagnosis models - A method of determining a mastery level for an examinee from an assessment is disclosed. The method includes receiving one or more of an overall skill level for an examinee, a weight for the overall skill level, a covariate vector for an examinee, and a weight for the covariate vector. An examinee attribute value is computed using one or more of the received values for each examinee and each attribute. The computation of the examinee attribute values can include estimating the value using a Markov Chain Monte Carlo estimation technique. Examinee mastery levels are then assigned based on each examinee attribute level. Dichotomous or polytomous levels can be assigned based on requirements for the assessment. | 05-06-2010 |
| 20100036654 | Systems and methods for identifying collocation errors in text - Systems and methods for detecting collocation errors in a text sample using a reference database from a corpus are provided. Collocation candidates are identified within the text sample based upon syntactic patterns in the text sample. Whether a given collocation candidate contains a collocation error is detected, the detecting including: determining a first association measure using the reference database for the given collocation candidate; determining whether the first association measure satisfies a predetermined condition and identifying the given collocation candidate as proper if the first association measure satisfies the predetermined condition; determining an additional association measure for a variation of the given collocation candidate using the reference database; and determining whether or not the collocation candidate contains an error based upon the additional association measure of the variation. | 02-11-2010 |
| 20090233262 | Method and system for computer-assisted test construction performing specification matching during test item selection - A method and system for constructing a test using a computer system that performs specification matching during the test creation process is disclosed. A test developer determines one or more test item databases from which to select test items. The test item databases are organized based on psychometric and/or content specifications. The developer can examine the textual passages, artwork or statistical information pertaining to a test item before selecting it by clicking on a designation of the test item in a database. The developer can then add the test item to a list of test items for the test. The test development system updates pre-designated psychometric and content specification information as the developer adds each test item to the test. The test developer can use the specification information to determine whether to add to, subtract from, or modify the list of test items selected for the test. | 09-17-2009 |
| 20090148075 | METHOD FOR AUTOMATED QUALITY CONTROL - A computer-implemented method and system for ensuring quality control over a group of test reports comprising identifying a plurality of areas within a test report that contain data elements, performing optical character recognition on the plurality of areas for each test report in the group of test reports to generate text corresponding to the content in the areas, comparing the content in the areas to corresponding data in a data file from a trusted source, and creating an output report based on the result of the comparison. The test reports may indicate educational test score results and personal identification information for test takers. | 06-11-2009 |
| 20090024934 | EQUATION EDITOR - An on-line teaching and learning system with rapid change-by-change or real time reinforcement signals for students and simultaneous monitoring by the teacher of the actual responses as well as their correctness is disclosed. The system may include at least one teacher computer, a plurality of student computers operably connected to the at least one teacher computer by a communications network. The system may be used in a classroom setting or in a distance-learning environment. | 01-22-2009 |
| 20080294440 | METHOD AND SYSTEM FOR ASSESSING PRONUNCIATION DIFFICULTIES OF NON-NATIVE SPEAKERSL - The present disclosure presents a useful metric for assessing the relative difficulty which non-native speakers face in pronouncing a given utterance and a method and systems for using such a metric in the evaluation and assessment of the utterances of non-native speakers. In an embodiment, the metric may be based on both known sources of difficulty for language learners and a corpus-based measure of cross-language sound differences. The method may be applied to speakers who primarily speak a first language speaking utterances in any non-native second language. | 11-27-2008 |