21 resultados para Sperner’s lemmas


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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L’obiettivo della presente dissertazione è quello di creare un nuovo linguaggio controllato, denominato Español Técnico Simplificado (ETS). Basato sulla specifica tecnica del Simplified Technical English (STE), ufficialmente conosciuta come ASD-STE100, lo spagnolo controllato ETS si presenta come un documento metalinguistico in grado di fornire ad un redattore o traduttore tecnico alcune regole specifiche per produrre un documento tecnico. La strategia di implementazione conduce allo studio preliminare di alcuni linguaggi controllati simili all’inglese STE, quali il Français Rationalisé e il Simplified Technical Spanish. Attraverso un approccio caratteristico della linguistica dei corpora, la soluzione proposta fornisce il nuovo linguaggio controllato mediante l’estrazione di informazioni specifiche da un corpus ad-hoc di lingua spagnola appositamente creato ed interrogato. I risultati evidenziano un metodo linguistico (controllato) utile a produrre documentazione tecnica priva di ogni eventuale ambiguità. Il sistema ETS, infatti, si fonda sul concetto della intelligibilità in quanto condizione necessaria da soddisfare nell’ambito della produzione di un testo controllato. E, attraverso la sua macrostruttura, il documento ETS fornisce gli strumenti necessari per rendere il testo controllato univoco. Infatti, tale struttura bipartita suddivide in maniera logica i dettami: una prima parte riguarda e contiene regole sintattiche e stilistiche; una seconda parte riguarda e contiene un dizionario di un numero limitato di lemmi opportunamente selezionati. Il tutto a favore del principio della biunivocità dei segni, in questo caso, della lingua spagnola. Il progetto, nel suo insieme, apre le porte ad un linguaggio nuovo in alternativa a quelli presenti, totalmente creato in accademia, che vale come prototipo a cui far seguire altri progetti di ricerca.

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The present dissertation aims at simulating the construction of lexicographic layouts for an Italian combinatory dictionary based on real linguistic data, extracted from corpora by using computational methods. This work is based on the assumption that the intuition of the native speaker, or the lexicographer, who manually extracts and classifies all the relevant data, are not adequate to provide sufficient information on the meaning and use of words. Therefore, a study of the real use of language is required and this is particularly true for dictionaries that collect the combinatory behaviour of words, where the task of the lexicographer is to identify typical combinations where a word occurs. This study is conducted in the framework of the CombiNet project aimed at studying Italian Word Combinationsand and at building an online, corpus-based combinatory lexicographic resource for the Italian language. This work is divided into three chapters. Chapter 1 describes the criteria considered for the classification of word combinations according to the work of Ježek (2011). Chapter 1 also contains a brief comparison between the most important Italian combinatory dictionaries and the BBI Dictionary of Word Combinations in order to describe how word combinations are considered in these lexicographic resources. Chapter 2 describes the main computational methods used for the extraction of word combinations from corpora, taking into account the advantages and disadvantages of the two methods. Chapter 3 mainly focuses on the practical word carried out in the framework of the CombiNet project, with reference to the tools and resources used (EXTra, LexIt and "La Repubblica" corpus). Finally, the data extracted and the lexicographic layout of the lemmas to be included in the combinatory dictionary are commented, namely the words "acqua" (water), "braccio" (arm) and "colpo" (blow, shot, stroke).

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In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers. For analyzing the monologues and the film transcript, the number of reused words, lemmas, n-grams, cosine similarity and other features were calculated and compared to each other for different verbal intelligence groups. The results showed that the similarity of monologues of higher verbal intelligence speakers was greater than of lower and average verbal intelligence participants. A possible explanation of this phenomenon is that candidates yielding higher verbal intelligence have a better short-term memory. In this paper we also checked a hypothesis that differences in vocabulary of speakers yielding different verbal intelligence are sufficient enough for good classification results. For proving this hypothesis, the Nearest Neighbor classifier was trained using TF-IDF vocabulary measures. The maximum achieved accuracy was 92.86%.

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Dissertação de Mestrado, Ciências da Linguagem, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2014