Search results for "computer"

From conceptualization to constructions in Finnish as an L2 : a case study

2017

AbstractThis study traces the individual learning trajectories of an adult beginner L2 Finnish learner in expressing the extralinguistic concept of evaluation from a dynamic usage-based perspective. Our results provide support for the view of learner language as a dynamic system in which patterns wax and wane and in which a change in one component has the potential to affect the whole system. In the early stages of learning there was a strong preference to use lexical verbs first, and then adjectives. The study also shows that variability plays a role. Finally, the study confirms that the learning of L2 constructions is in some cases item based. However, another highly frequent and superfic…

Mobilizing ‘context’: Vocabulary checks in ESL tutoring sessions

2022

This study investigates the practice of unplanned and emergent vocabulary checks, i.e. turns through which a speaker explicitly checks whether the recipient knows a word, in small-group tutorial instruction. The data are video-recorded English as a second language (ESL) tutoring sessions between a native English speaker tutor and ESL students at an urban community college in the United States. By drawing on conversation analysis, we analyze how vocabulary checks emerge sequentially and with the help of contextual interactional resources. Findings suggest that vocabulary checks constitute a practice for managing both shared understanding and pedagogical concerns. By singling out a vocabulary…

Prosody and fluency of Finland Swedish as a second language: Investigating global parameters for automated speaking assessment

2023

This study investigates prosody and fluency of Finland Swedish as a second language (L2). The main objective is to investigate global measures of prosody and fluency as predictors of overall oral proficiency, fluency, and pronunciation ratings. We analyzed parameters related to temporal fluency, timing (based on syllable durations), and f0 change from spontaneous speech produced by 30 native and 235 non-native speakers of Finland Swedish representing proficiency levels from beginner to intermediate. We used pairwise comparisons to investigate the differences between native speech (L1) and L2 samples from different proficiency levels. To study the predictability of ratings with acoustic para…

How Wild Can It Get? Managing Language Learning Tasks in Real Life Service Encounters

2019

This chapter explores how experientially based pedagogical activities that involve participation in real life service encounters provide occasions for developing L2 interactional competence. The data comprises novice L2 students’ self-recorded interactions in service settings and videorecordings of classroom planning activities and de-briefing discussions, where the students reflect on their experiences. The analysis traces what kinds of occasions for learning arise as the students move between the classroom and the real-world service settings. The findings show that the different phases of the task complement each other in supporting the development of interactional competence. The prepara…

New is not always costly: evidence from online processing of topic and contrast in Japanese.

2013

Two visual ERP experiments were conducted to investigate topic and contrast assigned by various cues such as discourse context, sentential position and marker during referential processing in Japanese. Experiment 1 showed that there was no N400-difference for new vs. given noun phrases (NPs) when the new NP was expected (contrastively focused) based on its preceding context and sentential position. Experiment 2 further revealed that the N400 for new NPs can be modulated by the NP’s contrastive meaning (exhausitivity) induced from the marker. Both experiments also showed that new NPs engendered an increased Late Positivity. The reduced N400 for new vs. given supports an expectation-based lin…

Anonymization as homeomorphic data space transformation for privacy-preserving deep learning

2021

Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…

Skeleton-Based Multiview Reconstruction

2016

International audience; The advantage of skeleton-based 3D reconstruction is to completely generate a single 3D object from well chosen views. Having numerous views is necessary for a reliable reconstruction but projections of skeletons lead to different topologies. We reconstruct 3D objects with curved medial axis (whose topology is a tree) from the perspective skeletons on an arbitrary number of calibrated acquisitions. The main contribution is to estimate the 3D skeleton, from multiple images: its topology is chosen as the closest to those of the perspective skeletons on the set of images, which means that the number of topology changes to map the 3D skeleton topology to topologies on im…

A New Spatial Shift‐Share Decomposition: An Application to Tourism Competitiveness in Italian Regions

2020

The paper proposes a new version of spatial shift-share decomposition to improve on the various approaches to conventional shift-share analysis found in the literature. The novelty of our proposal is that it enables researchers to assess spatial competitiveness effects controlling for the influence of industrial specialization at both regional and neighborhood level. This new version is applied to inbound tourism in Italian regions and enables us to identify the best and worst performers. Our empirical results identify favorable scenarios in some areas of the country, such as Sardinia as well as regional advantage in a sizeable number of well-known destinations.

Gender and Toxic Meritocracy in Competitive Overwatch: Case “Ellie”

2022

AbstractThis chapter examines toxic meritocracy in relation to gender in competitive Overwatch, asking how gender affects a player’s opportunities for engagement in that scene. It analyzes online news stories and community discussions concerning “Ellie” – a fabricated competitive woman gamer created as a “social experiment” by a man player. The confluences between gender and toxic meritocracy become visible in the assumption there must be an experienced man gamer behind the battletag, the gender-based harassment targeted at Ellie, and the reflections on the importance of setting an example as the first team taking a woman player for Contenders. The analysis shows that despite a strong belie…

La dimensione cognitiva nella traduzione assistita da computer e nella traduzione automatica

La tesi sviluppa una riflessione critica sull’utilizzo delle tecnologie per la traduzione, cercando di comprendere come esse siano state sviluppate a partire da rappresentazioni diverse del processo traduttivo umano, e di identificare le ricadute positive e negative che esse producono sul processo di traduzione, sia a livello pratico sia più profondamente, ovvero sulle dinamiche cognitive che lo caratterizzano e sul nuovo modo in cui il traduttore percepisce gli strumenti stessi, il testo e persino il proprio lavoro. The work presents the wide range of translation technologies today available, trying to shed light on the different representations of the human translation process that they t…