scholarly journals A flexible framework for collocation retrieval and translation from parallel and comparable corpora

2018 ◽  
pp. 166-180 ◽  
Author(s):  
Oscar Mendoza Rivera ◽  
Ruslan Mitkov ◽  
Gloria Corpas Pastor
Keyword(s):  
Comparable Corpora ◽  
Flexible Framework

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition

2014 ◽  
Vol 61 (5) ◽  
pp. 402-415 ◽  
Author(s):  
Thorsten Meiser
Keyword(s):  
Cognitive Processes ◽  
Model Complexity ◽  
Multinomial Model ◽  
Stochastic Dependence ◽  
New Model ◽  
Multinomial Processing Tree ◽  
Cognitive States ◽  
The Family ◽  
Tree Models ◽  
Flexible Framework

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.

The Belt and Road Initiative and Sino-Russian economic cooperation: Is there one more chance for us?

2019 ◽  
pp. 47-71
Author(s):  
Petr M. Mozias
Keyword(s):  
Regional Integration ◽  
Raw Materials ◽  
Belt And Road Initiative ◽  
Stage Of Development ◽  
Belt And Road ◽  
Flexible Framework ◽  
The One ◽  
International Transactions ◽  
The Belt And Road ◽  
Current Stage

China’s Belt and Road Initiative could be treated ambiguously. On the one hand, it is intended to transform the newly acquired economic potential of that country into its higher status in the world. China invites a lot of nations to build up gigantic transit corridors by joint efforts, and doing so it applies productively its capital and technologies. International transactions in RMB are also being expanded. But, on the other hand, the Belt and Road Initiative is also a necessity for China to cope with some evident problems of its current stage of development, such as industrial overcapacity, overdependence on imports of raw materials from a narrow circle of countries, and a subordinate status in global value chains. For Russia participation in the Belt and Road Initiative may be fruitful, since the very character of that project provides us with a space to manoeuvre. By now, Russian exports to China consist primarily of fuels and other commodities. More active industrial policy is needed to correct this situation . A flexible framework of the Belt and Road Initiative is more suitable for this objective to be achieved, rather than traditional forms of regional integration, such as a free trade zone.

scholarly journals Order, experience, and critique: The phenomenological method in political and legal theory

2021 ◽  
Author(s):  
Sophie Loidolt
Keyword(s):  
Best Practice ◽  
Legal Theory ◽  
Legal Issues ◽  
Main Task ◽  
Phenomenological Method ◽  
The Public ◽  
Practice Models ◽  
Critical Phenomenology ◽  
Flexible Framework ◽  
The Public Sphere

AbstractThe paper investigates phenomenology’s possibilities to describe, reflect and critically analyse political and legal orders. It presents a “toolbox” of methodological reflections, tools and topics, by relating to the classics of the tradition and to the emerging movement of “critical phenomenology,” as well as by touching upon current issues such as experiences of rightlessness, experiences in the digital lifeworld, and experiences of the public sphere. It is argued that phenomenology provides us with a dynamic methodological framework that emphasizes correlational, co-constitutional, and interrelational structures, and thus pays attention to modes of givenness, the making and unmaking of “world,” and, thereby, the inter/subjective, affective, and bodily constitution of meaning. In the case of political and legal orders, questions of power, exclusion, and normativity are central issues. By looking at “best practice” models such as Hannah Arendt’s analyses, the paper points out an analytical tool and flexible framework of “spaces of meaning” that phenomenologists can use and modify as they go along. In the current debates on political and legal issues, the author sees the main task of phenomenology to reclaim experience as world-building and world-opening, also in a normative sense, and to demonstrate how structures and orders are lived while they condition and form spaces of meaning. If we want to understand, criticize, act, or change something, this subjective and intersubjective perspective will remain indispensable.

scholarly journals Dedalus: A flexible framework for numerical simulations with spectral methods

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Keaton J. Burns ◽  
Geoffrey M. Vasil ◽  
Jeffrey S. Oishi ◽  
Daniel Lecoanet ◽  
Benjamin P. Brown
Keyword(s):  
Numerical Simulations ◽  
Spectral Methods ◽  
Flexible Framework

scholarly journals A flexible framework for anomaly Detection via dimensionality reduction

2021 ◽  
Author(s):  
Alireza Vafaei Sadr ◽  
Bruce A. Bassett ◽  
M. Kunz
Keyword(s):  
Anomaly Detection ◽  
Dimensionality Reduction ◽  
Dimensional Space ◽  
High Dimensions ◽  
Detection Algorithms ◽  
Latent Space ◽  
Wide Range ◽  
Flexible Framework ◽  
Online Anomaly Detection ◽  
Python Package

AbstractAnomaly detection is challenging, especially for large datasets in high dimensions. Here, we explore a general anomaly detection framework based on dimensionality reduction and unsupervised clustering. DRAMA is released as a general python package that implements the general framework with a wide range of built-in options. This approach identifies the primary prototypes in the data with anomalies detected by their large distances from the prototypes, either in the latent space or in the original, high-dimensional space. DRAMA is tested on a wide variety of simulated and real datasets, in up to 3000 dimensions, and is found to be robust and highly competitive with commonly used anomaly detection algorithms, especially in high dimensions. The flexibility of the DRAMA framework allows for significant optimization once some examples of anomalies are available, making it ideal for online anomaly detection, active learning, and highly unbalanced datasets. Besides, DRAMA naturally provides clustering of outliers for subsequent analysis.

scholarly journals Use of monolingual and comparable corpora in the classroom to translate adverbial connectors

2016 ◽  
Vol 36 (1) ◽  
pp. 147
Author(s):  
Beatriz Sánchez Cárdenas ◽  
Pamela Faber
Keyword(s):  
Lexical Selection ◽  
Parallel Corpora ◽  
Text Type ◽  
Comparable Corpora ◽  
Bilingual Dictionaries ◽  
Text Production ◽  
Before And After ◽  
Semantic Prosody ◽  
Semantic Values

http://dx.doi.org/10.5007/2175-7968.2016v36nesp1p147Research in terminology has traditionally focused on nouns. Considerably less attention has been paid to other grammatical categories such as adverbs. However, these words can also be problematic for the novice translator, who tends to use the translation correspondences in bilingual dictionaries without realizing that formal equivalence is not necessarily the same as textual equivalence. However, semantic values, acquired in context, go far beyond dictionary meaning and are related to phenomena such as semantic prosody and preferences of lexical selection that can vary, depending on text type and specialized domain.This research explored the reasons why certain adverbial discourse connectors, apparently easy to translate, are a source of translation problems that cannot be easily resolved with a bilingual dictionary. Moreover, this study analyzed the use of parallel corpora in the translation classroom and how it can increase the quality of text production. For this purpose, we compared student translations before and after receiving training on the use of corpus analysis tools

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