... (2000). Grammatical acquisition: Inductive bias and coevolution oflanguageand the language acquisition device. Language, 76 (2), 245-296. Chomsky, N. (1981) Lectures on Government and Binding, ... efficiency of parameter-setting acquisition models. We have recently run experiments of seven parameter-setting (P&P) modelsofacquisition on the domain. What follows is a brief discussion of ... Culicover, P. (1980) Formal Principles of Language Acquisition. Cambridge MA: MIT Press. mars and derivations that may be used to test computational modelsof syntax acquisition from widely divergent...
... Psychocom-putational Modelsof Human Language Acquisition, pages 10–19. ACL.P. Niyogi and R.C. Berwick. 1995. The logical prob-lem oflanguage change. AI Memo 1516, MIT.P. Niyogi and R.C. Berwick. 1996. A language ... Baxter, R.A. Blythe, W. Croft, and A.J. McK-ane. 2009. Modeling language change: An evalu-ation of Trudgill’s theory of the emergence of NewZealand English. Language Variation and Change,21(2):257–296.J. ... βt+1).3.1 Dynamical systemsWe develop and analyze modelsof populations of language learners in the mathematical framework of (discrete) dynamical systems (DS) (Niyogi and Berwick, 1995; Niyogi, 2006)....
... Pierce, A. (1992). Languageacquisitionandand syntactic theory: a comparative analysis of French and English child grammar. Boston: Kluwer. Pinker, S. (1979). Formal modelsoflanguage learn- ... ignored in the for- mal studies oflanguage acquisition. In the rest of this section, I show that if this condition is taken se- riously, previous modelsoflanguageacquisition have difficulties ... population of grammars Learning, including language acquisition, can be characterized as a sequence of states in which the learner moves from one state to another. Transfor- mational modelsof language...
... programmer’s intuition and theprogramming techniques built on top of it.A wide variety of languages and programming paradigms can be modeled bya small set of closely-related kernel languages. It follows ... many programming languages in the book and relate them to par-ticular computation models. For example, Java and Smalltalk are based on anobject-oriented model. Haskell and Standard ML are based ... for and program in systems without concurrencyrestrictions (including improved versions of Java).The kernel language approachPractical programming languages scale up to programs of millions of...
... underlying word space models; e.g.,the modelsof Widdows (2008) and Giesbrecht(2009) feature dimensionality reduction while that of Mitchell and Lapata (2008) does not. In thelight of these findings, ... usedfor meaning representation of single words and the key problem of common bag -of- words-basedVSMs is that word order information and therebythe structure of the language is lost.There are approaches ... intersection of two matriciblelanguages is again a matricible language. Proof. This is a direct consequence of the con-siderations in Section 6 together with the observa-tion, that the new set of acceptance...
... nonterminals of the form [A, B], A and B nonterminals of G' and G", respectively. G simu- lates Gs derivations by intermixing symbols of G' and symbols of G", and without ... instance B of a right-hand side nonterminal of v" linked to a right-hand side non- terminal A of v', B is replaced by E and A by [A, B]. Then the two synchronous productions in v ~ and ... raising and review two types of synchronization and mention some new formal results. We introduce our new synchronous system in Section 3, and present our formal results and outline the proof...
... theoriesof TCM 2.1.1 Metabonomics research of the four properties in TCM based on UPLC-QTOF-MS The theory of TCM property is an important part oftheoriesof TCM. It is one of the basic theories ... desired effect. The theoriesof TCM are so broad and profound, and considered the civilization treasure of China. The four properties, the essence and important component of TCM theories, the high ... theory of TCM property is also one of the basic theoriesof the science of TCM. It is the connection between the TCM theory and the clinic. The interpreting of the scientific meaning of TCM...
... techniques, and different ways of reasoning about them. We find that each model has itsdomain of application. This book explains many of these models, how they arerelated, how to program in them, and ... distributed programming, and constraintprogramming. We show how the judicious combined use of several computation models can help solve some of the problems of these areas.Languages mentionedWe ... many programming languages in the book and relate them to par-ticular computation models. For example, Java and Smalltalk are based on anobject-oriented model. Haskell and Standard ML are based...
... with 64 MB of memory can handle hundreds of thousands of digits. The skeptical reader willask: is this huge number really the factorial of 100? How can we tell? Doing thecalculation by hand would ... 8]case L of H|T then {Browse H} {Browse T} endThis displays 5 and [6 7 8], just like before. The case instruction declares twolocal variables,H and T, and binds them to the head and tail of the ... only scratches the surface of the programming concepts wewill see in this book. Later chapters give a deep understanding of these concepts and add many other concepts and techniques.1.1 A calculatorLet...
... kernel language. All programs in themodel can be expressed in this language. We first define the kernel language syntax and semantics. Then we explain how to build a full language on top of the ... semanticsThe kernel language approachThis book uses the kernel language approach to define the semantics of program-ming languages. In this approach, all language constructs are defined in terms of translations ... translations into a core language known as the kernel language. The kernel language approach consists of two parts (see Figure 2.4):ã First, dene a very simple language, called the kernel language. Thislan-guage...
... instead of standard lists:ã Flatten of nil is X#X (empty dierence list).ã Flatten of X|Xr where X is a nested list, is Y1#Y4 whereflatten of X is Y1#Y2,flatten of Xr is Y3#Y4 ,and equateY2 and ... LengthLfunction:ã Flatten of nil is nil.ã Flatten of X|Xr where X is a nested list, is Z whereflatten of X is Y,flatten of Xr is Yr ,and appendY and Yr to get Z.ã Flatten of X|Xr where X is not ... removing more and more of theleft-hand part of T2. Eventually, T2’s left subtree is removed completely and theright subtree takes its place. Continuing in this way,T2 shrinks more and more,passing...
... declarative computation models that are possible with differentcombinations of laziness, dataflow variables, and declarative concurrency.All of these models are practical and some of them have been ... this intuitively is by means of rubber bands. Each dataflowvariable has its own rubber band. One end of the rubber band is attached toCopyrightc 2001-3 by P. Van Roy and S. Haridi. All rights ... adders of any number of bits. A full adder has threeinputs, x, y, z, and two outputs c and s. It satisfies the equation x+y +z =(cs)2.For example, if x =1,y =1,andz = 0, then the result is c =1ands...
... performance software fault tolerance), and hot code re-placement ability (update software while the system is running). It is a high-level language that hides the internal representation of data and ... operation of the hypothetical lift control system of a build-ing, with a fixed number of lifts, a fixed number of floors between which liftstravel, and users. Figure 5.4 gives an abstract view of what ... state automaton. It consists of a finiteset of states and a set of transitions between states. At each instant, it is ina particular state. It starts in an initial state and evolves by doing transitions.A...