Text authorship identified using the dynamics of word co-occurrence networks

The identification of authorship in disputed documents still requires human expertise, which is now unfeasible for many tasks owing to the large volumes of text and authors in practical applications. In this study, we introduce a methodology based on the dynamics of word co-occurrence networks representing written texts to classify a corpus of 80 texts by 8 authors. The texts were divided into sections with equal number of linguistic tokens, from which time series were created for 12 topological metrics. The series were proven to be stationary (p-value>0.05), which permits to use distribution moments as learning attributes. With an optimized supervised learning procedure using a Radial Basis Function Network, 68 out of 80 texts were correctly classified, i.e. a remarkable 85% author matching success rate. Therefore, fluctuations in purely dynamic network metrics were found to characterize authorship, thus opening the way for the description of texts in terms of small evolving networks. Moreover, the approach introduced allows for comparison of texts with diverse characteristics in a simple, fast fashion

Building and exploiting context on the web

[no abstract

Change in the embedding dimension as an indicator of an approaching transition

Predicting a transition point in behavioral data should take into account the complexity of the signal being influenced by contextual factors. In this paper, we propose to analyze changes in the embedding dimension as contextual information indicating a proceeding transitive point, called OPtimal Embedding tRANsition Detection (OPERAND). Three texts were processed and translated to time-series of emotional polarity. It was found that changes in the embedding dimension proceeded transition points in the data. These preliminary results encourage further research into changes in the embedding dimension as generic markers of an approaching transition point

How to blend language and ICT in the didactics of scientific translation

Este capítulo presenta una fusión de la lingüistica aplicada a la traducción científica (análisis del discurso y metadiscurso) y la utilización de las nuevas tecnologías (memorias de traducción, bancos terminológicos). A través del análisis metadiscursivo y la identificación de marcadores en español e inglés, los alumnos crean su propia memoria de traducción y su banco terminológico.This chaper proposes a blend of applied linguistics to scientific translation (discourse and metadiscourse analysis) and some of the new technologies for translation (translation memory and lexical data bank). Through the analysis of metadiscourse in given scientific texts, translators-to-be create their own translation memories and lexical data banks

Neural tracking and integration of 'self' and 'other' in improvised interpersonal coordination

Humans coordinate their movements with one another in a range of everyday activities and skill domains. Optimal joint performance requires the continuous anticipation of and adaptation to each other's movements, especially when actions are spontaneous rather than pre-planned. Here we employ dual-EEG and frequency-tagging techniques to investigate how the neural tracking of self- and other-generated movements supports interpersonal coordination during improvised motion. LEDs flickering at 5.7 and 7.7 Hz were attached to participants’ index fingers in 28 dyads as they produced novel patterns of synchronous horizontal forearm movements. EEG responses at these frequencies revealed enhanced neural tracking of self-generated movement when leading and of other-generated movements when following. A marker of self-other integration at 13.4 Hz (inter-modulation frequency of 5.7 and 7.7 Hz) peaked when no leader was designated, and mutual adaptation and movement synchrony were maximal. Furthermore, the amplitude of EEG responses reflected differences in the capacity of dyads to synchronize their movements, offering a neurophysiologically grounded perspective for understanding perceptual-motor mechanisms underlying joint action. © 2019 Elsevier Inc

Analysis of 10 CFR Part 810 General Authorization Data on Assistance to Foreign Atomic Energy Activities

The purpose of this research was to implement tools to reliably monitor and analyze incoming Part 810 General Authorization Requests for various nuclear technologies. Texas A&M has utilized and tested the following tools to do so: Excel, Tableau, Apriori and Paterva’s Maltego. Received requests were converted into a searchable format and tagged such that they could be entered into a central repository to enable ad hoc searching. Other exploratory goals are as follows: reporting, analyzing, and predicting when a general authorization request is to be expected. Reporting requirements have been established using the visual analytics software, Tableau, wherein general authorization trends were determined and can be monitored. Prediction has been carried out using Tableau’s forecast option, which will anticipate the number of general authorizations to be received by a given country based on prior requests. The Apriori algorithm was also used for prediction purposes. Excel modeling was similarly explored, and it was determined that it should be used sparingly, as unknown variables, such as country and policy needs, are not taken into consideration. Maltego software has been implemented to search the internet and determine when a general authorization report is not received based upon news reports. Supplementary questions posed by the Department of Energy were explored and answered. A statistical analysis conducted using Tableau, revealed that certain U.S. companies favor specific foreign entities; meaning the U.S. company of interest has iii significantly more nuclear technology transfers to one foreign company over others. It was further discovered that China has undergone the General Authorization Process when it is not a specifically authorized destination. Any country not destined as specifically authorized should undergo the specific authorization process; it is not known why this is not already in place. Moreover, certain countries that exceed several general authorizations per year should be monitored to ensure that general authorizations are not being used to circumvent the specific authorization process. The general authorization threshold should be determined by the National Nuclear Security Administration