VHDL (VHSIC Hardware Description Language) is a language for describing hardware. Its requirement emerged during the VHSIC development program of the US Department of Defense. The department organized a work shop in 1981 to lay down the specifications of a language which could describe hardware at various levels of abstractions, could generate test signals and record responses, and could act as a medium of information exchange between the chip foundries and the CAD tool operators.
Digital Systems Design and Prototyping: Using Field Programmable Logic and Hardware Description Languages, Second Edition covers the subject of digital systems design using two important technologies: Field Programmable Logic Devices (FPLDs) and Hardware Description Languages (HDLs). These two technologies are combined to aid in the design, prototyping, and implementation of a whole range of digital systems from very simple ones replacing traditional glue logic to very complex ones customized as the applications require.
Tối ưu hóa thẻ Meta Description Viết nôi dung cho meta Description không những phải chèn các từ khóa thông minh một cách khéo léo, mà còn phải tạo ra sức hấp dẫn để lôi cuốn người đọc. Meta Description là một phần then chốt của mỗi trang website và nên được viết khoảng 150 đến 160 ký tự. Chúng tôi xin chia sẻ các thủ thuật seo: Tối ưu hóa thẻ meta Discription.
Tham khảo tài liệu part 1 "Picture Description" dưới đây để có thêm tài liệu học tập và ôn thi môn tiếng Anh. Nội dung tài liệu cung cấp cho các bạn những tình huống thường ra trong các đề thi TOIEC, hy vọng tài liệu sẽ giúp các bạn đạt kết quả cao trong kỳ thi sắp tới.
The Manual on Descriptive Analysis Testing for Sensory Evaluation was sponsored by Com-mittee E-18 on Sensory Evaluation. Descriptive analysis is a sensory method by which the attributes of a food or product are identified and quantified, using human subjects who have been specifically trained for this purpose.
In this volume I present some examples of Basic Concepts, Examination of Functions, Level Curves
and Level Surfaces and Description of Curves, cf. also Calculus 2b, Functions of Several Variables.
Since my aim also has been to demonstrate some solution strategy I have as far as possible structured
the examples according to the following form
A Awareness, i.e. a short description of what is the problem.
D Decision, i.e. a reflection over what should be done with the problem.
I Implementation, i.e. where all the calculations are made.
C Control, i.e. a test of the result.
Generating referring expressions is a key step in Natural Language Generation. Researchers have focused almost exclusively on generating distinctive referring expressions, that is, referring expressions that uniquely identify their intended referent. While undoubtedly one of their most important functions, referring expressions can be more than distinctive. In particular, descriptive referring expressions – those that provide additional information not required for distinction – are critical to ﬂuent, efﬁcient, well-written text. ...
The goal of this paper is to provide computable account for some definite descriptions. To this end, we define in terms of inclusion the notion of distinguishing description and of distinguishable entities introduced by [Dale 89]. These def'mitions allow us to give conditions of wellformedness for incomplete distinguishing descriptions. We also extend the notion of distinguishing description to take into account cases of synonymy and hyponymy. We describe a real application of a guided composition system where this sort of expressions arise. ...
This paper presents the results of a s t u d y on the semantic constraints imposed on lexical choice by certain contextual indicators. We show how such indicators are computed and how correlations between them and the choice of a noun phrase description of a named entity can be automatically established using supervised learning. Based on this correlation, we have developed a technique for automatic lexical choice of descriptions of entities in text generation.
Since the early Sixties and Seventies it has been known that the regular and context-free languages are characterized by definability in the monadic second-order theory of certain structures. More recently, these descriptive characterizations have been used to obtain complexity results for constraint- and principle-based theories of syntax and to provide a uniform model-theoretic framework for exploring the relationship between theories expressed in disparate formal terms.
We examine the consistency problem for descriptions of trees based on remote dominance, and present a consistency-checking algorithm which is polynomial in the number of nodes in the description, despite disjunctions inherent in the theory of trees. The resulting algorithm allows for descriptions which go beyond sets of atomic formulas to allow certain types of disjunction and negation. collections to be combined contain contradictory information.
Ambiguities related to intension and their consequent inference failures are a diverse group, both syntactically and semantically. One particular kind of ambiguity t h a t has received little attention so far is whether it is the speaker or the third p a r t y to whom a description in an opaque third-party attitude report should be attributed. The different readings lead to different inferences in a system modeling the beliefs of external agents. We propose t h a t a unified approach to the representation of the alternative readings of intension-related ambiguities can be based on the...
A grammatical description often applies to a linguistic object only when that object has certain features. Such conditional descriptions can be indirectly modeled in Kay's Functional Unification Grammar (FUG) using functional descriptions that are embedded within disjunctive alternatives. An extension to FUG is proposed that allows for a direct representation of conditional descriptions. This extension has been used to model the input conditions on the systems of systemic grammar. Conditional descriptions are formally defined in terms of logical implication and negation.
This paper introduces a novel generation system that composes humanlike descriptions of images from computer vision detections. By leveraging syntactically informed word co-occurrence statistics, the generator ﬁlters and constrains the noisy detections output from a vision system to generate syntactic trees that detail what the computer vision system sees. Results show that the generation system outperforms state-of-the-art systems, automatically generating some of the most natural image descriptions to date. ...
We present an algorithm for simultaneously constructing both the syntax and semantics of a sentence using a Lexicalized Tree Adjoining Grammar (LTAG). This approach captures naturally and elegantly the interaction between pragmatic and syntactic constraints on descriptions in a sentence, and the inferential interactions between multiple descriptions in a sentence. At the same time, it exploits linguistically motivated, declarative specifications of the discourse functions of syntactic constructions to make contextually appropriate syntactic choices. ...
Most algorithms dedicated to the generation of referential descriptions widely suffer from a fundamental problem: they make too strong assumptions about adjacent processing components, resulting in a limited coordination with their perceptive and linguistics data, that is, the provider for object descriptors and the lexical expression by which the chosen descriptors is ultimately realized.
We present preliminary results concerning robust techniques for resolving bridging definite descriptions. We report our analysis of a collection of 20 Wall Street Journal articles from the Penn Treebank Corpus and our experiments with WordNet to identify relations between bridging descriptions and their antecedents.
Acquiring information systems specifications from natural language description is presented as a problem class that requires a different treatment of semantics when compared with other applied NL systems such as database and operating system interfaces. Within this problem class, the specific task of obtaining explicit conceptual data models from natural language text or dialogue is being investigated. The knowledge brought to bear on this task is classified into syntactic, semantic and systems analysis knowledge.
We present a holistic data-driven approach to image description generation, exploiting the vast amount of (noisy) parallel image data and associated natural language descriptions available on the web. More speciﬁcally, given a query image, we retrieve existing human-composed phrases used to describe visually similar images, then selectively combine those phrases to generate a novel description for the query image.