Generating statistical information module Sample Clauses

Generating statistical information module. This module is a pre-processing module for JWordSeg. For statistic information, we choose CMU toolkit to train required information for the further usages. CMU toolkit is used to generate general textual data into word frequency lists and vocabularies, word bigram and trigram counts, vocabulary-specific word bigram and trigram counts, bigram- and trigram- related statistics, and various Backoff bigram and trigram language models. In this project, inputs for CMU toolkit are Orchid-1 and Orchid-2 which are word- segmented and POS-annotated. In total, these corpora contain 32,609 sentences and 468,833 words. After training, statistical information of the corpora is stored in the file type called ARPA file and it will be used as an input in lattice selection algorithm described in Section
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Related to Generating statistical information module

  • Statistical Information Any third-party statistical and market-related data included in the Registration Statement, the Time of Sale Disclosure Package and the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate in all material respects.

  • Medical Information Throughout the Pupil's time as a member of the School, the School Medical Officer shall have the right to disclose confidential information about the Pupil if it is considered to be in the Pupil's own interests or necessary for the protection of other members of the School community. Such information will be given and received on a confidential, need-to-know basis.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Technical Information The Employer agrees to provide to the Union such information that is available relating to employees in the bargaining unit, as may be required by the Union for collective bargaining purposes.

  • Additional Information for Product Development Projects Outcome of product development efforts, such copyrights and license agreements. • Units sold or projected to be sold in California and outside of California. • Total annual sales or projected annual sales (in dollars) of products developed under the Agreement. • Investment dollars/follow-on private funding as a result of Energy Commission funding. • Patent numbers and applications, along with dates and brief descriptions.  Additional Information for Product Demonstrations: • Outcome of demonstrations and status of technology. • Number of similar installations. • Jobs created/retained as a result of the Agreement.

  • Product Information EPIZYME recognizes that by reason of, inter alia, EISAI’s status as an exclusive licensee in the EISAI Territory under this Agreement, EISAI has an interest in EPIZYME’s retention in confidence of certain information of EPIZYME. Accordingly, until the end of all Royalty Term(s) in the EISAI Territory, EPIZYME shall keep confidential, and not publish or otherwise disclose, and not use for any purpose other than to fulfill EPIZYME’s obligations, or exercise EPIZYME’s rights, hereunder any EPIZYME Know-How Controlled by EPIZYME or EPIZYME Collaboration Know-How, in each case that are primarily applicable to EZH2 or EZH2 Compounds (the “Product Information”), except to the extent (a) the Product Information is in the public domain through no fault of EPIZYME, (b) such disclosure or use is expressly permitted under Section 9.3, or (c) such disclosure or use is otherwise expressly permitted by the terms and conditions of this Agreement. For purposes of Section 9.3, each Party shall be deemed to be both the Disclosing Party and the Receiving Party with respect to Product Information. For clarification, the disclosure by EPIZYME to EISAI of Product Information shall not cause such Product Information to cease to be subject to the provisions of this Section 9.2 with respect to the use and disclosure of such Confidential Information by EPIZYME. In the event this Agreement is terminated pursuant to Article 12, this Section 9.2 shall have no continuing force or effect, but the Product Information, to the extent disclosed by EPIZYME to EISAI hereunder, shall continue to be Confidential Information of EPIZYME, subject to the terms of Sections 9.1 and 9.3 for purposes of the surviving provisions of this Agreement. Each Party shall be responsible for compliance by its Affiliates, and its and its Affiliates’ respective officers, directors, employees and agents, with the provisions of Section 9.1 and this Section 9.2.

  • Usage Statistics The Distributor shall ensure that the Publisher will provide access to both composite system-wide use data and itemized data for the Licensee, the Participating Institutions, individual campuses and labs, on a monthly basis. The statistics shall meet or exceed the most recent project Counting Online Usage of NeTworked Electronic Resources ("COUNTER") Code of Practice Release,3 including but not limited to its provisions on customer confidentiality. When a release of a new COUNTER Code of Practice is issued, the Distributor shall ensure that the Publisher will comply with the implementation time frame specified by COUNTER to provide usage statistics in the new standard format. It is more than desirable that the Standardized Usage Statistics Harvesting Initiative (SUSHI) Protocol4 is available for the Licensee to harvest the statistics.

  • Root-­‐zone Information Publication ICANN’s publication of root-­‐zone contact information for the TLD will include Registry Operator and its administrative and technical contacts. Any request to modify the contact information for the Registry Operator must be made in the format specified from time to time by ICANN at xxxx://xxx.xxxx.xxx/domains/root/.

  • Substance Abuse Treatment Information Substance abuse treatment information shall be maintained in compliance with 42 C.F.R. Part 2 if the Party or subcontractor(s) are Part 2 covered programs, or if substance abuse treatment information is received from a Part 2 covered program by the Party or subcontractor(s).

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

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