This paper analyses inherent clitics of idiomatic constructions as verbal arguments (Jelinek 1984, Baker 1996, Hale 2003) that are translated as free variables (Delfitto 2002): they are anaphoric to a (hidden) non-referential discourse topic or (right) dislocated constituent. Furthermore, since they denote abstract semantic objects (Asher 1993), they are assumed to be semantically incorporated ...

In this lecture we discuss how to derandomize algorithms. We will see a brute force algorithm (enumeration) for derandomization. We will also see that some random algorithms do not need true randomness. Specifically, we will see an example where only pairwise random bits are needed. Next, we will see how we can generate pairwise random values and how this conservation on the amount of randomnes...

1 Last two lectures ¯ probability spaces ¯ probability measure ¯ random variables and stochastic processes ¯ distribution functions ¯ independence ¯ conditional probability ¯ memoriless property of geometric and exponential distributions ¯ expectation ¯ conditional expectation (double expectation) ¯ mean-square estimation 1

In this paper we investigate the notion of conditional independence and prove several information inequalities for conditionally independent random variables. Keywords— Conditionally independent random variables, common information, rate region.