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In [19], operational or shallow realisation systems are referred to as surface realisation Engines, and a system called SimpleNLG is introduced.
As a first initiative towards standardisation in the field, the first Surface Realisation Shared Task [12] intended to evaluate English surface realisation systems based on the same input data (abstracted from the WSJ corpus).
In recent years, as in many other NLG applications, surface realisation systems have successfully relied upon statistical methods ranging from language modelling techniques [2, 3] to full-blown probabilistic generation-space models [4] and grammar acquisition [5].
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The present work concerns the development and evaluation of a shallow surface realisation system for the Brazilian Portuguese language based on FLMs.
This work presents a shallow surface realisation system that makes use of factored language models (FLMs) of Portuguese to overcome some of these difficulties.
As a means to overcome some of these difficulties, in this work we address the use of factored language models (FLMs) [8] in the development of a shallow surface realisation system for the Brazilian Portuguese language.
We described a 2-stage shallow surface realisation system for Brazilian Portuguese generation that takes as an input an abstract sentence representation and over-generates multiple candidate sentences with the aid of a small set of language-dependent linearisation rules.
What counts as an input representation may, however, vary widely across systems, and the lack of a standard on how a surface realisation system should be defined or more specifically, on what makes its input specification has long been the subject of debate in the NLG field [1].
The reference architecture is characterized by three main elements: the EPCIS standard for tracking and tracing, cloud-based realisation of transparency systems, and the provision of transparency systems as services by third-party transparency service providers (3pTSPs).
The realisation of such systems will require effective maintenance organisations that adopt engineering approaches, e.g. engineering tools and methods.
Quality management and metrology play an important and basic role in individual activities of different function enterprises in Multi-functions Integrated Factory MFIF to ensure the realisation of such systems.
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CEO of Professional Science Editing for Scientists @ prosciediting.com