This paper explores a parsimonious approach to Data-Oriented Parsing. While allowing, in principle, all possible subtrees of trees in the treebank to be productive elements, our approach aims at finding a manageable subset of these trees that can accurately describe empirical distributions over phrase-structure trees. The proposed algorithm leads to computationally much more tracktable parsers,...

How far can we get with unsupervised parsing if we make our training corpus several orders of magnitude larger than has hitherto be attempted? We present a new algorithm for unsupervised parsing using an all-subtrees model, termed U-DOP*, which parses directly with packed forests of all binary trees. We train both on Penn’s WSJ data and on the (much larger) NANC corpus, showing that U-DOP* outp...

Phthalates pose adverse health effects due to their propensity to leach and the most common, di(2-ethylhexyl) phthalate (DEHP) and di-n-octyl phthalate (DOP), are petroleum-based. Conversely, di-esters, succinates are biobased (produced from fermentation of biomass), biodegradable, and therefore potential sustainable replacements for phthalates. A series of succinates, di-octyl succinate (DOS),...

We present a simplified Data-Oriented Parsing (DOP) formalism for learning the constituency structure of Italian sentences. In our approach we try to simplify the original DOP methodology by constraining the number and type of fragments we extract from the training corpus. We provide some examples of the types of constructions that occur more often in the treebank, and quantify the performance ...

Exemplar-based models of language propose that human language production and understanding operate with a store of concrete linguistic experiences rather than with abstract linguistic rules. While exemplarbased models are well acknowledged in areas like phonology and morphology, common wisdom has it that they are intrinsically flawed for syntax where infinite generative capacity is needed. This...

The widespread use of memory unsafe programming languages (e.g., C and C++), especially in embedded systems and the Internet of Things (IoT), leaves many systems vulnerable to memory corruption attacks. A variety of defenses have been proposed to mitigate attacks that exploit memory errors to hijack the control flow of the code at run-time, e.g., (fine-grained) ASLR or Control Flow Integrity (C...

BACKGROUND AND PURPOSES The multiplier method was introduced by Paley to calculate the timing for temporary hemiepiphysiodesis. However, this method has not been verified in terms of clinical outcome measure. We aimed to (1) predict the rate of angular correction per year (ACPY) at the various corresponding ages by means of multiplier method and verify the reliability based on the data from the...

Active imaging systems that measure the degree of polarization (DOP) are often perturbed by passive light owing to ambient illumination. Passive light introduces a shot noise that combines with the noise due to the active signal to perturb estimation of the DOP. We quantitatively study its influence and show that the polarization state of active illumination can be adjusted to minimize the infl...

| In this paper we present a Genetic Algorithm (GA) for the Data Ordering Problem (DOP) where Don't Cares (DCs) are assigned during optimization. The DOP has large application in the area of low power design and circuit testing. We implemented a GA to solve this problem and discuss several applications. We carried out a large set of experiments. A comparison of our results to previously publish...

In high bit rate optical fiber communication systems, Polarization mode dispersion (PMD) is one of the main factors to signal distortion and needs to be compensated. PMD monitoring system is the key integral part of an adaptive PMD compensator. The degree of polarization (DOP) ellipsoid obtained by using a polarization scrambler can be used as a feedback signal for automatic PMD compensation. G...