scholarly journals Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars

Author(s):  
Benjamin Börschinger ◽  
Mark Johnson

Stress has long been established as a major cue in word segmentation for English infants. We show that enabling a current state-of-the-art Bayesian word segmentation model to take advantage of stress cues noticeably improves its performance. We find that the improvements range from 10 to 4%, depending on both the use of phonotactic cues and, to a lesser extent, the amount of evidence available to the learner. We also find that in particular early on, stress cues are much more useful for our model than phonotactic cues by themselves, consistent with the finding that children do seem to use stress cues before they use phonotactic cues. Finally, we study how the model’s knowledge about stress patterns evolves over time. We not only find that our model correctly acquires the most frequent patterns relatively quickly but also that the Unique Stress Constraint that is at the heart of a previously proposed model does not need to be built in but can be acquired jointly with word segmentation.

2018 ◽  
Vol 108 (05) ◽  
pp. 319-324
Author(s):  
I. Bogdanov ◽  
A. Nuffer ◽  
A. Sauer

Der vorliegende Beitrag behandelt den Themenkomplex Ressourcen-effizienz und digitale Transformation im verarbeitenden Gewerbe sowie die dabei entstehenden Wechselwirkungen. Neben dem aktuellen Stand der Technik werden die im Rahmen einer aktuellen Studie durchgeführte Fallbeispielanalyse und die entwickelte Methodik zur Ermittlung der Ressourceneffizienzpotenziale vorgestellt. Diese Potenziale und die eingesetzten digitalen Maßnahmen sind zentrale Bausteine des vorliegenden Beitrags.   This article deals with the topic complex of resource efficiency and digital transformation in the manufacturing sector as well as the resulting interactions. In addition to the current state of the art and perspectives, the case study analysis carried out as part of a current study, as well as the developed method for establishing the resource efficiency potentials will be presented. The resultant potential and the digital measures are central components of this article.


2016 ◽  
Vol 33 (2) ◽  
pp. 187-197 ◽  
Author(s):  
Feliciano Henriques VEIGA ◽  
Viorel ROBU ◽  
Joseph CONBOY ◽  
Adriana ORTIZ ◽  
Carolina CARVALHO ◽  
...  

"Students' engagement in school" is regarded in the literature as a current and valued construct despite the lack of empirical studies on its relationship with specific family variables. The present research aimed to survey studies on the correlation between students' engagement in school and family contexts, specifically in terms of the following variables: perceived parental support, socioeconomic and sociocultural levels, perceived rights, and parental educational styles. In order to describe the state of the art of student's "engagement in school" and "family variables", a narrative review was conducted. The studies reviewed highlight the role of family as a context with significance in student's engagement in school. However, further research is needed to deepen the knowledge of this topic considering potential mediator variables, either personal or school variables. It was also found the need for a psychosocial intervention aimed at providing support for the students coming from adverse family contexts who exhibit low level of engagement associated with poor academic achievement and a higher probability of dropping out.


Author(s):  
Yinfei Yang ◽  
Gustavo Hernandez Abrego ◽  
Steve Yuan ◽  
Mandy Guo ◽  
Qinlan Shen ◽  
...  

In this paper, we present an approach to learn multilingual sentence embeddings using a bi-directional dual-encoder with additive margin softmax. The embeddings are able to achieve state-of-the-art results on the United Nations (UN) parallel corpus retrieval task. In all the languages tested, the system achieves P@1 of 86% or higher. We use pairs retrieved by our approach to train NMT models that achieve similar performance to models trained on gold pairs. We explore simple document-level embeddings constructed by averaging our sentence embeddings. On the UN document-level retrieval task, document embeddings achieve around 97% on P@1 for all experimented language pairs. Lastly, we evaluate the proposed model on the BUCC mining task. The learned embeddings with raw cosine similarity scores achieve competitive results compared to current state-of-the-art models, and with a second-stage scorer we achieve a new state-of-the-art level on this task.


2018 ◽  
Author(s):  
John P Wilson

This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “actionable” knowledge and outcomes. The key innovations include rediscovering and using what we already know, developing new digital terrain modeling methods, clarifying and strengthening the role of theory, developing high-fidelity DEMs, developing and embracing new visualization methods, adopting new computational approaches, and making better use of provenance, credibility, and application-content knowledge.


2020 ◽  
Vol 201 (5-6) ◽  
pp. 772-802 ◽  
Author(s):  
A. T. Jones ◽  
C. P. Scheller ◽  
J. R. Prance ◽  
Y. B. Kalyoncu ◽  
D. M. Zumbühl ◽  
...  

AbstractHere we review recent progress in cooling micro-/nanoelectronic devices significantly below 10 mK. A number of groups worldwide are working to produce sub-millikelvin on-chip electron temperatures, motivated by the possibility of observing new physical effects and improving the performance of quantum technologies, sensors and metrological standards. The challenge is a longstanding one, with the lowest reported on-chip electron temperature having remained around 4 mK for more than 15 years. This is despite the fact that microkelvin temperatures have been accessible in bulk materials since the mid-twentieth century. In this review, we describe progress made in the last 5 years using new cooling techniques. Developments have been driven by improvements in the understanding of nanoscale physics, material properties and heat flow in electronic devices at ultralow temperatures and have involved collaboration between universities and institutes, physicists and engineers. We hope that this review will serve as a summary of the current state of the art and provide a roadmap for future developments. We focus on techniques that have shown, in experiment, the potential to reach sub-millikelvin electron temperatures. In particular, we focus on on-chip demagnetisation refrigeration. Multiple groups have used this technique to reach temperatures around 1 mK, with a current lowest temperature below 0.5 mK.


2019 ◽  
Vol 31 (2) ◽  
pp. 143-165 ◽  
Author(s):  
Päivi Hökkä ◽  
Katja Vähäsantanen ◽  
Susanna Paloniemi ◽  
Sanna Herranen ◽  
Anneli Eteläpelto

Purpose Although there has been an increase in workplace studies on professional agency, few of these have examined the role of emotions in the enactment of agency at work. To date, professional agency has been mainly conceptualised as a goal-oriented, rational activity aimed at influencing a current state of affairs. Challenged by this, this study aims to elaborate the nature and quality of emotions and how they might be connected to the enactment of professional agency. Design/methodology/approach Data are collected in the context of a leadership coaching programme that aimed to promote the leaders’ professional agency over the course of a year. The participants (11 middle-management leaders working in university and hospital contexts) were interviewed before and after the programme, and the data were analysed using qualitative content analysis. Findings Findings showed that emotions played an important role in the leaders’ enactment of professional agency, as it pertained to their work and to their professional identity. The study suggests that enacting professional agency is by no means a matter of purely rational actions. Practical implications The study suggests that emotional agency can be learned and enhanced through group-based interventions reflecting on and processing one’s own professional roles and work. Originality/value As a theoretical conclusion, the study argues that professional agency should be reconceptualised in such a way as to acknowledge the importance of emotions (one’s own and those of one’s fellow workers) in practising agency within organisational contexts.


Entropy ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 1291
Author(s):  
María Navarro-Cáceres ◽  
Marcelo Caetano ◽  
Gilberto Bernardes ◽  
Mercedes Sánchez-Barba ◽  
Javier Merchán Sánchez-Jara

In tonal music, musical tension is strongly associated with musical expression, particularly with expectations and emotions. Most listeners are able to perceive musical tension subjectively, yet musical tension is difficult to be measured objectively, as it is connected with musical parameters such as rhythm, dynamics, melody, harmony, and timbre. Musical tension specifically associated with melodic and harmonic motion is called tonal tension. In this article, we are interested in perceived changes of tonal tension over time for chord progressions, dubbed tonal tension profiles. We propose an objective measure capable of capturing tension profile according to different tonal music parameters, namely, tonal distance, dissonance, voice leading, and hierarchical tension. We performed two experiments to validate the proposed model of tonal tension profile and compared against Lerdahl’s model and MorpheuS across 12 chord progressions. Our results show that the considered four tonal parameters contribute differently to the perception of tonal tension. In our model, their relative importance adopts the following weights, summing to unity: dissonance (0.402), hierarchical tension (0.246), tonal distance (0.202), and voice leading (0.193). The assumption that listeners perceive global changes in tonal tension as prototypical profiles is strongly suggested in our results, which outperform the state-of-the-art models.


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