433 research outputs found
Korpusna analiza sintaktiÄko-semantiÄkih struktura s pomoÄu grafova: semantiÄke domene pojma osjeÄaj
This research exemplifies the corpus-based graph approach to the syntactic-semantic analysis of a concept feeling using the Construction Grammar Conceptual network methodology. by constructing a lexical network from grammatically tagged collocations of the English and the Croatian web corpora, the structure of the semantic domains is revealed as a set of sub-graphs derived from the source lexemeās friend-of-a-friend graph. the subgraph structures, calculated with the community detection algorithm, are interpreted as the semantic domains associated with the source lexemeās conceptual matrix. lexical structures are analyzed using a centrality algorithm that determines the overall rank of the salience and semantic relatedness to the source concept feeling. this empirical approach can be used for developing NLP methods and tasks, such as computing semantic similarity, sense disambiguation, sense structuring, as well as for comparative corpus and cross-cultural studies. ConGraCnet has a web application on the page http://emocnet.uniri.hr/congracnet.Ova studija prikazuje metodu ConGraCnet na primjeru korpusne sintaktiÄko-semantiÄke analize s pomoÄu grafova pojma osjeÄaj/feeling. analizom mreža leksiÄkih kolokacija koordinirane konstrukcije iz korpusa enTenTen i hrWac struktura semantiÄkih domena ishodiÅ”nih pojmova razluÄuje se algoritmom prepoznavanja graf-zajednica. leksiÄke se zajednice sagledavaju kao apstrakcija semantiÄkih domena povezanih s pojmovnom matricom ishodiÅ”noga leksema. KoriÅ”tenjem algoritmom centralnosti koji prepoznaje istaknuto umrežene lekseme odreÄuje se stupanj povezanosti semantiÄke domene s izvornim pojmom. ovaj empirijski pristup može se upotrebljavati za razvijanje nlP metoda za prepoznavanje semantiÄke sliÄnosti, razluÄivanja viÅ”eznaÄnosti, strukturiranje znaÄenja te za komparativne korpusne i meÄukulturne studije. Metoda ConGraCnet objavljena je kao mrežna aplikacija na stranici http://emocnet.uniri.hr/congracnet
Predgovor OpÄoj uredbi Rimskog misala
Prijevod Predgovora OpÄe uredbe Rimskog misala
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