Constraint Dependency Grammar and Its Weak Generative Capacity

Author(s):  
Hiroshi Maruyama
2021 ◽  
Vol 55 (1) ◽  
pp. 231-263
Author(s):  
Timothy Osborne

Abstract The so-called ‘Big Mess Construction’ (BMC) frustrates standard assumptions about the structure of nominal groups. The normal position of an attributive adjective is after the determiner and before the noun, but in the BMC, the adjective precedes the determiner, e.g. that strange a sound, so big a scandal, too lame an excuse. Previous accounts of the BMC are couched in ‘Phrase Structure Grammar’ (PSG) and view the noun or the determiner (or the preposition of) as the root/head of the BMC phrase. In contrast, the current approach, which is couched in a ‘Dependency Grammar’ (DG) model, argues that the adjective is in fact the root/head of the phrase. A number of insights point to the adjective as the root/head, the most important of which is the optional appearance of the preposition of, e.g. that strange of a sound, so big of a scandal, too lame of an excuse.


2021 ◽  
Vol 1770 (1) ◽  
pp. 012087
Author(s):  
M.I.Mary Metilda ◽  
Lalitha D
Keyword(s):  

2011 ◽  
Vol 22 (02) ◽  
pp. 411-426 ◽  
Author(s):  
GEORG ZETZSCHE

This article presents approaches to the open problem of whether erasing rules can be eliminated in matrix grammars. The class of languages generated by non-erasing matrix grammars is characterized by the newly introduced linear Petri net grammars. Petri net grammars are known to be equivalent to arbitrary matrix grammars (without appearance checking). In linear Petri net grammars, the marking has to be linear in size with respect to the length of the sentential form. The characterization by linear Petri net grammars is then used to show that applying linear erasing to a Petri net language yields a language generated by a non-erasing matrix grammar. It is also shown that in Petri net grammars (with final markings and arbitrary labeling), erasing rules can be eliminated, which yields two reformulations of the problem of whether erasing rules in matrix grammars can be eliminated.


2005 ◽  
Vol 1 (1) ◽  
pp. 59-78 ◽  
Author(s):  
CARL-ARDY DUBOIS ◽  
MARTIN MCKEE

After a long period of neglect, the issue of human resources for health (HRH) has recently emerged as a core component on the international health agenda, with policy makers increasingly eager to learn from experience elsewhere. This article investigates systematically the opportunities and challenges associated with the use of cross-national comparisons of HRH policies and practices. It reviews the evidence in favour of using international comparative studies on HRH, discusses emerging opportunities for developing a cross-national research agenda to guide HRH policies in Europe, and highlights obstacles which may hinder the implementation of comparative studies on HRH. While demonstrating many opportunities offered by the comparative approach to improve understanding of human resources processes in the health sector, this article also emphasizes the dangers of simplistic pleas for the transfer of human resource policies without taking into account the context-specific factors and the generative capacity of the social actors in the design and implementation of policy changes.


Author(s):  
Timothy Osborne

AbstractThis paper considers the NP vs. DP debate from the perspective of dependency grammar (DG). The message is delivered that given DG assumptions about sentence structure, the traditional NP-analysis of nominal groups is preferable over the DP-analysis. The debate is also considered from the perspective of phrase structure grammar (PSG). While many of the issues discussed here do not directly support NP over DP given PSG assumptions, some do. More importantly, one has to accept the widespread presence of null determiner heads for the DP analysis to be plausible on PSG assumptions. The argument developed at length here is that the traditional NP-analysis of nominal groups is both more accurate and simpler than the DP-analysis, in part because it does not rely on the frequent occurrence of null determiners.


2018 ◽  
Vol 54 (2) ◽  
pp. 131-148 ◽  
Author(s):  
Johanna Mannergren Selimovic

How do we identify and understand transformative agency in the quotidian that is not contained in formal, or even informal structures? This article investigates the ordinary agency of Palestinian inhabitants in the violent context of the divided city of Jerusalem. Through a close reading of three ethnographic moments I identify creative micropractices of negotiating the separation barrier that slices through the city. To conduct this analytical work I propose a conceptual grid of place, body and story through which the everyday can be grasped, accessed and understood. ‘Place’ encompasses the understanding that the everyday is always located and grounded in materiality; ‘body’ takes into account the embodied experience of subjects moving through this place; and ‘story’ refers to the narrative work conducted by human beings in order to make sense of our place in the world. I argue that people can engage in actions that function both as coping mechanisms (and may even support the upholding of status quo), and as moments of formulating and enacting agential projects with a more or less intentional transformative purpose. This insight is key to understanding the generative capacity of everyday agency and its importance for the macropolitics of peace and conflict.


2013 ◽  
Vol 32 (1) ◽  
Author(s):  
Thomas Groß ◽  
Timothy Osborne

AbstractThe paper claims that a marriage of the Dependency Grammar (DG) understanding of word and sentence structure with the axioms of Construction Grammar is possible and desirable. The catena unit – the validity of which has been established in syntax – is extended to morphosyntax. In syntax, a word catena is defined as a word or a combination of words that is continuous with respect to dominance. This definition is extended to morphosyntax, where a morph catena is defined analogously as a morph or a combination of morphs that is continuous with respect to dominance. The validity and utility of the catena concept for construction grammars is demonstrated in a particular area, namely regarding the functional meanings expressed by periphrastic verb chains (e.g. modality, aspect, and voice). The morph combinations (= the constructs) that express these functional meanings form morph catenae.


2021 ◽  
Author(s):  
Yuen Ler Chow ◽  
Shantanu Singh ◽  
Anne E Carpenter ◽  
Gregory P. Way

A variational autoencoder (VAE) is a machine learning algorithm, useful for generating a compressed and interpretable latent space. These representations have been generated from various biomedical data types and can be used to produce realistic-looking simulated data. However, standard vanilla VAEs suffer from entangled and uninformative latent spaces, which can be mitigated using other types of VAEs such as β-VAE and MMD-VAE. In this project, we evaluated the ability of VAEs to learn cell morphology characteristics derived from cell images. We trained and evaluated these three VAE variants-Vanilla VAE, β-VAE, and MMD-VAE-on cell morphology readouts and explored the generative capacity of each model to predict compound polypharmacology (the interactions of a drug with more than one target) using an approach called latent space arithmetic (LSA). To test the generalizability of the strategy, we also trained these VAEs using gene expression data of the same compound perturbations and found that gene expression provides complementary information. We found that the β-VAE and MMD-VAE disentangle morphology signals and reveal a more interpretable latent space. We reliably simulated morphology and gene expression readouts from certain compounds thereby predicting cell states perturbed with compounds of known polypharmacology. Inferring cell state for specific drug mechanisms could aid researchers in developing and identifying targeted therapeutics and categorizing off-target effects in the future.


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