We introduce a new computational framework for music analysis decomposed into a set of modules. Each module addresses a core aspect of music analysis and offers some innovative breakthrough compared to the state of the art. In order to overcome the limitations of local segmentation, we propose an alternative paradigm based on hierarchical local grouping. New mechanisms for ornamentation reducti...

Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...

This study reports on a production experiment investigating tonal and articulatory means of encoding different focus structures in German. Using an electromagnetic articulograph, we examined the movements of the upper and lower lips (related to sonority expansion) during the production of target words occurring in four different focus conditions. We found systematic differences not only between...

We present the data structure of a lexical resource—the French Lexical Network (FLN)—, that is being hand-crafted using a knowledge-based lexicographic editor. The FLN is formally a lexical graph whose structuring is mainly supported by the system of paradigmatic and syntagmatic lexical functions of the Meaning-Text linguistic approach. Section 1 offers a general characterization of the FLN. Se...

The task of detecting causal connections in text would benefit greatly from a comprehensive representation of Cause and Effect in WordNet, since previous studies show that semantic abstractions play an important role in the linguistic detection of semantic relations, in particular the cause-effect relation. Based on these studies on causality, and on our own general intuitions about causality, ...

The human mind has been designed to evaluate similarity fast and efficiently. When building/using a data format to make the web content more machine-friendly, can we learn something useful from how the mind represents data? We present four theories psychological theories that tried to solve the problem and how they relate to semantic web practices. Metric models (such as the vector space model ...

The French Lexical Network (fr-LN) is a global model of the French lexicon presently under construction. The fr-LN accounts for lexical knowledge as a lexical network structured by paradigmatic and syntagmatic relations holding between lexical units. This paper describes how morphological knowledge is presently being introduced into the fr-LN through the implementation and lexicographic exploit...

The paper addresses the issue of how to use linguistic information in Word Sense Disambiguation (WSD). We introduce a knowledge-driven and unsupervised WSD method that requires only a large corpus previously tagged with POS and very little grammatical knowledge. The WSD process is performed taking into account the syntactic patterns in which the ambiguous occurrence appears, relaying in the hyp...

It is one of the hallmarks of natural language that abstract morphosyntactic and semantic information is realized in an intricate way by phonological structure. This mapping of representations of radically different types closely related to Martinet’s (1960) notion of ‘double articulation’ is traditionally called ‘exponence’ (Matthews, 1991). This network brings together researchers from theore...