Memorie su la Sicilia : tratte dalle più celebri accademie e da distinti libri di società letterarie e di valent'uomini nazionale e stranieri /

Mode of access: Internet.

Antologia dei poeti stranieri. Inglesi.

Vol i. Ossiau.--ii. Shakespeare.--iii. Milton, Pope, Thompson, Gray.--iv. Byron.

Regole di canto gregoriano, ricavate da rinomati autori, adattate al metodo presente cioè senza le così dette mutazioni e proposte ai signori alunni del Pontificio collegio urbano de propaganda fide dal sacerdote romano Lorenzo Berti ...

Mode of access: Internet.

Alberghi italiani e viaggiatori stranieri, sec. XIII-XVIII ...

"Manoscritti consultati": p. [7]-9.

Pagine scelte di letterati contemporanei : precedute da un cenno sulle regole per la pronunzia con note e con i modi di dire in francese e in inglese a uso degli stranieri /

Mode of access: Internet.

Il bilinguismo negli Stati Uniti: il fenomeno dello spanglish e il Don Quijote di Ilan Stavans

L'elaborato ha come oggetto lo Spanglish, lingua ibrida nata in seguito al bilinguismo negli Stati Uniti. L'elaborato, in particolare, propone un'analisi di tale fenomeno a partire dalle origini fino a giungere alla discussa traduzione del Don Quijote de La Mancha per mano di Ilan Stavans.

O papel do bilinguismo no processo de difusão das línguas

O presente estudo propõe-se estudar as representações de alunos bilingues e não bilingues acerca do papel do bilinguismo no processo de difusão das línguas. Para dar resposta a este objetivo, desenhámos um projeto de intervenção que compreendeu a utilização de duas técnicas de recolha de dados: a entrevista e o inquérito por questionário, que implementámos a alunos do distrito de Aveiro. Os resultados obtidos permitiram concluir que, de forma geral, os alunos consideram que os falantes são os principais responsáveis pela difusão das línguas, contribuindo para o aumento de utilizadores da mesma e, portanto, para a sua expansão.

Asimilación del programa nacional de bilinguismo en el programa de Lengua Castellana, Inglés y Francés de La Universidad de La Salle

Tesis (Licenciado en Lenguas Castellana, Inglés y Francés).--Universidad de La Salle. Facultad de Ciencias de La Educación. Licenciatura en Lengua Castellana, Inglés y Francés, 2014

Data mining traditional Chinese medicine (TCM) lessons learnt from mining in law and allopathic medicine

Key decisions at the collection, pre-processing, transformation, mining and interpretation phase of any knowledge discovery from database (KDD) process depend heavily on assumptions and theorectical perspectives relating to the type of task to be performed and characteristics of data sourced. In this article, we compare and contrast theoretical perspectives and assumptions taken in data mining exercises in the legal domain with those adopted in data mining in TCM and allopathic medicine. The juxtaposition results in insights for the application of KDD for Traditional Chinese Medicine.

A concept-based retrieval method for entity-oriented search

Entity-oriented retrieval aims to return a list of relevant entities rather than documents to provide exact answers for user queries. The nature of entity-oriented retrieval requires identifying the semantic intent of user queries, i.e., understanding the semantic role of query terms and determining the semantic categories which indicate the class of target entities. Existing methods are not able to exploit the semantic intent by capturing the semantic relationship between terms in a query and in a document that contains entity related information. To improve the understanding of the semantic intent of user queries, we propose concept-based retrieval method that not only automatically identifies the semantic intent of user queries, i.e., Intent Type and Intent Modifier but introduces concepts represented by Wikipedia articles to user queries. We evaluate our proposed method on entity profile documents annotated by concepts from Wikipedia category and list structure. Empirical analysis reveals that the proposed method outperforms several state-of-the-art approaches.

A novel process of group-oriented question reduction for rule-based recommendation websites

Several websites utilise a rule-base recommendation system, which generates choices based on a series of questionnaires, for recommending products to users. This approach has a high risk of customer attrition and the bottleneck is the questionnaire set. If the questioning process is too long, complex or tedious; users are most likely to quit the questionnaire before a product is recommended to them. If the questioning process is short; the user intensions cannot be gathered. The commonly used feature selection methods do not provide a satisfactory solution. We propose a novel process combining clustering, decisions tree and association rule mining for a group-oriented question reduction process. The question set is reduced according to common properties that are shared by a specific group of users. When applied on a real-world website, the proposed combined method outperforms the methods where the reduction of question is done only by using association rule mining or only by observing distribution within the group.

Beyond rule based reasoning - the meaning and use of cases

Commercial legal expert systems are invariably rule based. Such systems are poor at dealing with open texture and the argumentation inherent in law. To overcome these problems we suggest supplementing rule based legal expert systems with case based reasoning or neural networks. Both case based reasoners and neural networks use cases-but in very different ways. We discuss these differences at length. In particular we examine the role of explanation in existing expert systems methodologies. Because neural networks provide poor explanation facilities, we consider the use of Toulmin argument structures to support explanation (S. Toulmin, 1958). We illustrate our ideas with regard to a number of systems built by the authors