Preference english thesis

Fifteenth-century English music had a profound impact on mainland Europe, with several important innovations e.

Dissertations & Theses from 12222

However, the turbulent history of the Church in England has left few English sources for this deeply influential repertory. The focus of discussion until now has generally been on a dichotomy between English and continental origin. However, as more details emerge of the opportunities for cultural cross-fertilisation, it becomes increasingly clear that this may be a false dichotomy. This thesis re-evaluates the complex issues of provenance and diffusion affecting the mid-fifteenth-century cyclic Mass.

By breaking down the polarization between English and continental origins, it offers a new understanding of the provenance and subsequent use of many Mass cycles. A semiminim is typically defined as a note value worth half a minim, usually drawn as a flagged or colored minim. That definition is one according to which generations of scholars have constructed chronologies and provenances for fourteenth- and fifteenth-century music and the people who created it.

My intensive survey of the extant theoretical literature from the earliest days of the Ars Nova through c.

Dissertations On Technology and L2 Learning (2000-2017)

These phenomena were dynamic and unstable, and a close study of them helps to clarify a range of historical issues. Localized traditions have often been strictly bounded in scholarly literature; references to French, Italian, and English notation are commonplace.

I explain notational preferences in Italy, England, central Europe, and the rest of western Europe with regard to these small note values but demonstrate that theorists educated in each of these places routinely incorporated portions of other traditions. Rarely were regional traditions truly isolated; the various aspects of semiminim-family note values were debated and adapted for decades across these cultural and geographical boundaries.

The central theme of my research is to show how and why the theoretical conceptualization of these myriad small note values is key to understanding the continual merging of these local preferences into a more amalgamated style of notation by the mid-fifteenth century. This thesis seeks to understand how music sounded and functioned in the Italian trecento based on the examination of all the surviving sources, rather than only the most complete.

A majority of surviving sources of Italian polyphonic music from the period are fragments; most, the remnants of lost manuscripts. Despite their numerical dominance, music scholarship has viewed these sources as secondary…. This dissertation is a study of the seven principal MSS transmitting the musical works of Guillaume de Machaut. In chapter two, new observations about the structure and internal. MS Par. The early date helps to bridge the chronological gap in sources for the polyphonic chanson.

Scribal indications and literary evidence now suggest that polyphonic chansons by Machaut were first composed in the s. Chapter three focuses on the copying of text and music-in the MSS. Regardless of the style of the music, text was always entered first. This was a guiding principle in French MSS throughout the 14th and early l5th century, and bears upon questions of texting in 15th-century sources. Chapter four considers aspects of the transmission of the works, both evidence from the texts of the narrative poems, and readings for musical works. Mechanical copying errors are distinguished from notational problems.

Some notational irregularities can be tied to chronological developments, others seem to be designed to facilitate performance by less literate musicians. Particularly interesting are variants in many lais in the MS Par. Radical rearrangement of the disposition of text and music suggests the intervention of someone actively interested in their performance. An appendix supplies information on the physical makeup of the principal MSS, and information on the disposition of miniatures among the HSS.

The main part of the dissertation is concerned with a detailed investigation of all known sources which contain consort music estimated to have been written during the period to approximately. These are over eighty in number mainly manuscripts and range in date from c to the mid-seventeenth century. Students with a background in other fields of the humanities or social sciences who are interested in text analysis can work on a topic where they investigate what NLP has to offer them.

Your email address will not be published. Notice: It seems you have Javascript disabled in your Browser. In order to submit a comment to this post, please write this code along with your comment: ad46b0bf85cb6d77ae91ad Topics focusing on Natural Language Processing How does automatic text analysis work? Termsuite is an open source term extraction tool that is very useful if you want to extract keywords from a text. It supports multiple languages, but so far there is no support for Dutch yet. We do have all the resources that are necessary to add Dutch language support, but they need a little tweaking.

Once Dutch is supported by Termsuite, we can see how it compares to Termtreffer, another closed-source terminology extractor.

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Improve the state-of-the-art for Dutch language technology. At the 25th edition of the Computational Linguistics In the Netherlands CLIN conference, we ran the first shared task for Dutch, where several teams of computational linguists tried to see which tools are the best at annotating texts. Next year there will be another shared task.

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Honors Program | English

Event recognition and relations between events What happened? What caused this? Which events make up the story that is told in news or other data? Our group develops state-of-the-art software for event recognition and disambiguation. Possible topics include: Search for stories in a large structured database of events extracted from text. In what ways do different sources refer to the same event? What variations can be observed?

Supervised methods have provided good results but also show limits. The goal of this project is to develop systems which are able to anchor and order events in time, thus providing the users with what is called a timeline of events. Different datasets are available both for single document and cross-document temporal processing, and in different domains news and clinical data.

When English is not your mother tongue

Storyline Extraction: this project aims at extracting stories from large collections of news clustered per topic and spanning over a time period. The main research questions are: 1 are there patterns in which news stories about an event are reported? Content Types Extraction: different types of information is expressed in a document. Sentiment analysis What opinions do people have and how do they express them? How does this change from one domain e.

See also the more detailed description under topics focusing on linguistics and language resources. Are they popular enough to be described in Wikipedia? If not, can we build a profile based on the information from text?

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Does the type of knowledge vary per topic and time? How to acquire knowledge in a given domain, e. Topics focusing on Linguistics and Language Resources How does language work and how can we model it in such a way that a computer can work with it? Open Source Wordnet. A wordnet is a semantic network with all the words of a language connected through semantic relations. This database is derived from various sources. Each wordnet groups word meanings in different ways and the open source wordnet combines structures of both the English and the original Dutch wordnet.

We need help from students to study the existing wordnet structures in English and Dutch and to evaluate the fit of the open source wordnet to both. It has rich information about the combinatorics of words in particular meanings. The combinatorics in RBN are represented in various ways. We want to know how this way of representing matches the FrameNet structure that was developed for English at Berkeley and how well FrameNet can be mapped to our Dutch words and meanings.

Sentiment analysis : we develop software to do automatic sentiment analysis of text in English, Dutch and German. Sentiment analysis is done at a topic level. That means, we extract the opinion holder, the opinion expression and the target of the opinion.