5 resultados para Text similarity analysis
em AMS Tesi di Laurea - Alm@DL - Università di Bologna
Resumo:
The aim of this dissertation is to investigate the differences in the phraseological patterns used by Italian and English translators and interpreters through the intermodal corpus EPTIC_01_2011. First, the most important studies and theories about corpus linguistics and collocations are introduced. After defining the notion of “corpus”, the different types of corpora are categorised, giving particular attention to the intermodal one. Then the dissertation focuses on a description of collocations, as defined by the main linguistics scholars, and it describes some attempts to apply corpus linguistics to the study of collocations. Secondly, EPTIC_01_2011 is presented, with a description of its structure and of the text editing process carried out applying specific editing conventions and adding a set of metadata before each text. The analysis of collocation candidate bigrams (adjective+noun/noun+adjective) from a quantitative point of view, was conducted applying a methodology adapted from Durrant and Schmitt (2009). Qualitative analysis was also performed on a subsection of the data. The results of the study are presented through examples and graphs, giving particular attention to the interpretation of the data analysed from a qualitative perspective. Finally, results are summarised and categorised, and suggestions are made concerning the diverging choices made in translation and interpreting. The final section concentrates on further studies that could be carried out in the future, as well as on suggestions for corpus enlargement.
Resumo:
The objective of this dissertation is to study the structure and behavior of the Atmospheric Boundary Layer (ABL) in stable conditions. This type of boundary layer is not completely well understood yet, although it is very important for many practical uses, from forecast modeling to atmospheric dispersion of pollutants. We analyzed data from the SABLES98 experiment (Stable Atmospheric Boundary Layer Experiment in Spain, 1998), and compared the behaviour of this data using Monin-Obukhov's similarity functions for wind speed and potential temperature. Analyzing the vertical profiles of various variables, in particular the thermal and momentum fluxes, we identified two main contrasting structures describing two different states of the SBL, a traditional and an upside-down boundary layer. We were able to determine the main features of these two states of the boundary layer in terms of vertical profiles of potential temperature and wind speed, turbulent kinetic energy and fluxes, studying the time series and vertical structure of the atmosphere for two separate nights in the dataset, taken as case studies. We also developed an original classification of the SBL, in order to separate the influence of mesoscale phenomena from turbulent behavior, using as parameters the wind speed and the gradient Richardson number. We then compared these two formulations, using the SABLES98 dataset, verifying their validity for different variables (wind speed and potential temperature, and their difference, at different heights) and with different stability parameters (zita or Rg). Despite these two classifications having completely different physical origins, we were able to find some common behavior, in particular under weak stability conditions.
Resumo:
In numerosi campi scientici l'analisi di network complessi ha portato molte recenti scoperte: in questa tesi abbiamo sperimentato questo approccio sul linguaggio umano, in particolare quello scritto, dove le parole non interagiscono in modo casuale. Abbiamo quindi inizialmente presentato misure capaci di estrapolare importanti strutture topologiche dai newtork linguistici(Degree, Strength, Entropia, . . .) ed esaminato il software usato per rappresentare e visualizzare i grafi (Gephi). In seguito abbiamo analizzato le differenti proprietà statistiche di uno stesso testo in varie sue forme (shuffolato, senza stopwords e senza parole con bassa frequenza): il nostro database contiene cinque libri di cinque autori vissuti nel XIX secolo. Abbiamo infine mostrato come certe misure siano importanti per distinguere un testo reale dalle sue versioni modificate e perché la distribuzione del Degree di un testo normale e di uno shuffolato abbiano lo stesso andamento. Questi risultati potranno essere utili nella sempre più attiva analisi di fenomeni linguistici come l'autorship attribution e il riconoscimento di testi shuffolati.
Resumo:
In this thesis we are going to talk about technologies which allow us to approach sentiment analysis on newspapers articles. The final goal of this work is to help social scholars to do content analysis on big corpora of texts in a faster way thanks to the support of automatic text classification.