Natural language interpretations

To a computer scientist, VS is nothing but another text mining, only the bits and bytes stored that contain molecular information adopt a format quite different from natural language and without adequate warning cannot be quickly interpreted. It is not that modem day text does not contain text that is not natural language, but that they are adequately flagged and do not stop the NLP software. For example,... 

Whereas code is precise, natural language and ad hoc diagrams are not. How often do groups of analysts or designers discuss requirements around a whiteboard and leave with different interpretations of the problem to be solved or produce reams of documents ridden with latent bugs and inconsistencies Documentation that is concise and accurate is far more likely to be useful. 

Write the spec informally. State in natural language what is required of it. Think in terms of outputs, effects on external objects, and the initial and final internal state. Think also of preconditions — interpreted precisely as the conditions under which this particular postcondition make sense, action return (book) pre — book is lent to someone... 

TerMeulen, A. G. B. (1995). Representing time in natural language the dynamic interpretation of tense and aspect. Cambridge MIT Press. 

Rindflesh, T.C., Fiszman, M. 2003. The interaction of domain knowledge and linguistic structure in natural language processing interpreting hypemymic propositions in biomedical text. Journal of Biomedical Informatics. 36 462—477. 

Requirements and descriptions of designs should be stated formally (with well defined syntax and semantics) with explanations given in natural language. There should be only one possible interpretation of each description or requirement... 

Templates should be designed for all these requirement aspects so that requirements are displayed in a clear format. This avoids wrong interpretations and ensures the consistencies with the architecture. Specification in natural language doesn t mean that all lists of characteristics need to be formulated in verbal sentences. Semi-formal methods are better suited particularly for technical behavior and are clearer and less unmistakable than well-formulated sentences. In a well-structured architecture a lot of requirements are automatically derived from the architecture because of such templates. Or the essential content can be formulated in advance through the definition of keywords so that only parameters or certain characteristics need to be added. All signal flows or data flow aspects need to be consistent with the architecture, meaning that if these requirements are automatically derived from the architecture, a good level of consistency can be expected. 

A constraint has also attached to it a documentation that describes in natural language the content of the constraint. It might also contain a relationship to the element to which the constraint has been attached. This is important for the interpretation of the variable paths. For example, if a constraint is directly attached to a Car class that has a weight property, then the declaration of the w variable can be just weight because the constraint is interpreted in the context of the Car class and the weight property is local to the Car class. 

Gabrilovich, E., and S. Markovitch. 2009. Wikipedia-based semantic interpretation for natural language processing. Journal of Artificial Intelligence Research 34 443 98. 

In forma tion Physics is a catch-all phrase that refers to attempts to found a physics on a notion of primordial information. Such attempts are based on two basic premises (1) that inf)rmation exists uid( pendently of any seniaiitics that must be used to ascribe a meaiiiiig to it, and (2) all observables found in nature are essentially data structures that the universe uses to encode information with. An electron in this view, for example, is interpreted as a data structure encoding the, eight (currently kiiowii) properties of what we call an electron (mass, charge, spin, etc.). The aim of information physics is to find the appropriate language, or dynamics, for whatever makes up this primordial information. 

O. N. Jensen. Interpreting the Protein Language Using Proteomics. Nature Rev. Mol. Cell Biol, 7(2006) 391-403. 

The generalized Fisher theorems derived in this section are statements about the space variation of the vectors of the relative and absolute space-specific rates of growth. These vectors have a simple natural (biological, chemical, physical) interpretation They express the capacity of a species of type u to fill out space in genetic language, they are space-specific fitness functions. In addition, the covariance matrix of the vector of the relative space-specific rates of growth, gap, [Eq. (25)] is a Riemannian metric tensor that enters the expression of a Fisher information metric [Eqs. (24) and (26)]. These results may serve as a basis for solving inverse problems for reaction transport systems. 

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