985 resultados para language law


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This brochure answers questions injured workers commonly ask about workers’ compensation. You may check Iowa Code chapters 85 through 87 and 17A, as well as Iowa Administrative Code chapter 876, for detailed information. References to Iowa Code sections and Iowa Administrative Rules appear in parentheses.

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This brochure answers questions injured workers commonly ask about workers’ compensation. You may check Iowa Code chapters 85 through 87 and 17A, as well as Iowa Administrative Code chapter 876, for detailed information. References to Iowa Code sections and Iowa Administrative Rules appear in parentheses.

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This brochure answers questions injured workers commonly ask about workers’ compensation. You may check Iowa Code chapters 85 through 87 and 17A, as well as Iowa Administrative Code chapter 876, for detailed information. References to Iowa Code sections and Iowa Administrative Rules appear in parentheses.

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State Agency Audit Report

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Based on a plenary lecture presented at the Tenth ANZFSS meeting of Forensic science in Sydney (September 2010), this article identifies some of the difficulties arising from the confrontation of forensic science with the law : a science defined by its specialities rather its object (the trace) and through the eyes of the law rather than those of science. This situation has historical roots that are highlighted and potential solutions for the future lie in fundamental and cultural developments within forensic science itself.

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Although Iowa has some of the most productive agricultural land in the nation, it also maintains a very extensive road network.Consequently, landowners and roadway officials often must deal with drainage issues affecting private lands and public highways. However, many individuals are unfamiliar with legal drainage requirements, practices, and procedures, which can result in misunderstandings concerning maintenance responsibilities for drainage facilities, sometimes leading to litigation. To assist propertyowners, public agencies, and others with interest in better understanding drainage maintenance responsibilities, a reference manual was developed to describe Iowa’s drainage laws and offer interpretations in a clear and concise manner. To develop a comprehensive drainage manual, researchers identified and reviewed current available literature. These resources described pertinent drainage issues and presented explanations of legal responsibilities. The literature review included manuals and guides from Iowa, surrounding states, and federal agencies. Researchers developed a survey to assess the needs and interestsof potential users of an Iowa drainage law manual. Survey responses were used to identify common problems and concerns among individuals who encounter drainage issues on a regular basis. Issues mentioned in the survey responses included interpretation of drainage laws and commonly encountered questions relating to public improvements and private interests. Many individuals, including county engineers, stated interest in specific topics such as maintenance and/or diversion of drainage, landowner issues, and upstream and downstream impacts. Overall, the survey provided researchers with valuable information regarding drainage issues, problems, current policies, and concerns. A comprehensive manual of Iowa drainage law will assist agencies and individuals in interpreting current code requirements and in implementing effective and beneficial solutions when dealing with drainage issues.

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El objetivo de PANACEA es engranar diferentes herramientas avanzadas para construir una fábrica de Recursos Lingüísticos (RL), una línea de producción que automatice los pasos implicados en la adquisición, producción, actualización y mantenimiento de los RL que la Traducción Automática y otras tecnologías lingüísticas, necesitan.

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The objective of PANACEA is to build a factory of LRs that automates the stages involved in the acquisition, production, updating and maintenance of LRs required by MT systems and by other applications based on language technologies, and simplifies eventual issues regarding intellectual property rights. This automation will cut down the cost, time and human effort significantly. These reductions of costs and time are the only way to guarantee the continuous supply of LRs that MT and other language technologies will be demanding in the multilingual Europe.

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Language Resources are a critical component for Natural Language Processing applications. Throughout the years many resources were manually created for the same task, but with different granularity and coverage information. To create richer resources for a broad range of potential reuses, nformation from all resources has to be joined into one. The hight cost of comparing and merging different resources by hand has been a bottleneck for merging existing resources. With the objective of reducing human intervention, we present a new method for automating merging resources. We have addressed the merging of two verbs subcategorization frame (SCF) lexica for Spanish. The results achieved, a new lexicon with enriched information and conflicting information signalled, reinforce our idea that this approach can be applied for other task of NLP.

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This paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by Machine Translation and other Language Technologies. We adopt a set of tools that have been successfully used in the Bioinformatics field, they are adapted to the needs of our field and used to deploy web services, which can be combined to build more complex processing chains (workflows). This paper describes the platform and its different components (web services, registry, workflows, social network and interoperability). We demonstrate the scalability of the platform by carrying out a set of massive data experiments. Finally, a validation of the platform across a set of required criteria proves its usability for different types of users (non-technical users and providers).