Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity and sensitivity for other methodological limitations. This study aimed to experimentally dissociate the e...

The article discusses the types of use of phraseological units in the discourse of British and Latvian newspapers, namely core use and instantial stylistic use of phraseological units. The background of the research of this kind is discussed with special attention being paid to the contribution to this field of phraseological studies of two scholars – Anita Naciscione and Andreas Langlotz. Vari...

Recent work in natural language generation has begun to take linguistic variation into account, developing algorithms that are capable of modifying the system’s linguistic style based either on the user’s linguistic style or other factors, such as personality or politeness. While stylistic control has traditionally relied on handcrafted rules, statistical methods are likely to be needed for gen...

The present study was conducted to determine the functional neuroanatomical correlates of aesthetic experience using slow cortical potentials (SCPs). Thirty participants without any particular background in the fine arts were presented with various representational (semi-abstract) and abstract paintings dating from the 20th and 21st century in two experimental conditions, i.e. with or without s...

An attempt is made to modelize the process of human translation, in order to illustrage the complexity of the process, and to better define successive quality levels: syntactic, idiomatic, and stylistic.

Computational analysis of poetry is a challenging and interesting task in NLP. Human expertise on stylistics and aesthetics of poetry is generally expensive and scarce. In this work, we delve into the data to automatically extract stylistic and linguistic information which are useful for analysis and comparison of poems. We make use of semantic (word) features to perform subject-based classific...

Internet performance faces the challenge of network latency. One proposed solution is music prediction, wherein musical events are predicted in advance and transmitted to distributed musicians ahead of the network delay. We present a context-aware music prediction system focusing on expressive timing: a Bayesian network that incorporates stylistic model selection and linear conditional gaussian...

Authorship identification is a task of identifying authors of anonymous texts given examples of the writing of authors. The increasingly large volumes of anonymous texts on the Internet enhance the great yet urgent necessity for authorship identification. It has been applied to more and more practical applications including literary works, intelligence, criminal law, civil law, and computer for...

Papers from the workshop held in conjunction with the 28th Annual International ACM Conference on Research and Development in Information Retrieval, August 13-19, 2005, Salvador, Bahia, Brazil