نتایج جستجو برای: digital differential analyser
تعداد نتایج: 591549 فیلتر نتایج به سال:
This paper describes general requirements for evaluating and documenting NLP tools with a focus on morphological analysers and the design of a Gold Standard. It is argued that any evaluation must be measurable and documentation thereof must be made accessible for any user of the tool. The documentation must be of a kind that it enables the user to compare different tools offering the same servi...
Medical discharge documents are summaries written by a physician about the patient’s condition and aim at transferring information to other health care personnel but also to the patient. According to the legislation, the patient should be able to understand the document. In practice, however, this has been shown to be problematic. This paper studies discharge documents from the patients’ perspe...
Information system security policies have grown in complexity and the emerging collaborative nature of business has created new challenges in creating and managing such policies. These policies address several domains ranging from access control to disaster recovery and depend not only on the business itself but on socio-political/legal requirements as well. Events like collaborative work or pr...
This paper addresses the experimental bootstrapping of the development of broad-coverage finite-state morphological analysers for Xhosa, Swati and (Southern) Ndebele by using an existing prototype of a morphological analyser for Zulu. These languages are both morphologically complex and resource-scarce. The research question is whether bootstrapping is feasible across the language boundaries be...
The paper describes the system built by the team from the University of West Bohemia for participation in the CLEF 2006 CL-SR track. We have decided to concentrate only on the monolingual searching in the Czech test collection and investigate the effect of proper language processing on the retrieval performance. We have employed the Czech morphological analyser and tagger for that purposes. For...
This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning Arabic. The learners are encouraged to produce sentenc...
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building NLP components. This paper addresses the experimental fast-tracking of the development of finite-state morphological analysers for Xhosa, Swati and (Southern) Ndebele by using an existing prototype of a morphological a...
A finite-state, rule-based morphological analyser is presented here, within the framework of machine translation system TAVAL. This morphological analyser introduces specific features which are particularly useful for translation, such as the detection and morphological tagging of word groups that act as a single lexical unit for translation purposes. The case where words in one such group are ...
LOGFLOW is a parallel Prolog implementation for massively parallel distributed memory systems. The LOGFLOW execution mechanism combines a very fine-grain data driven scheme and the well-known coarse-grain WAM-based scheme. The LOGFLOW compiler generates two code versions for each Prolog program: 3DPAM (Distributed Data Driven Prolog Abstract Machine) code and WAM code. The Granularity Controlle...
Short Abstract—This paper describes methodologies for exact exposure measurements in the vicinity of modern digital broadband RF transmitters like DVB-T, DAB and UMTS stations. The measurement parameters for the spectrum analyser measurements are derived from the signal characteristics of the RF signals in frequency and time domain. Study designs of present measurement campaigns are also presen...
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