Pregled bibliografske jedinice broj: 761037
Building Family Trees With NooJ
Building Family Trees With NooJ // Formalising Natural Languages with NooJ 2014: Selected papers from the NooJ 2014 International Conference / Monti, Johanna ; Silberztein, Max ; Monteleone, Mario ; Pia di Buono, Maria (ur.).
Newcastle upon Tyne: Cambridge Scholars Publishing, 2015. str. 198-210
CROSBI ID: 761037 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Building Family Trees With NooJ
Autori
Kocijan, Kristina ; Požega, Marko
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Formalising Natural Languages with NooJ 2014: Selected papers from the NooJ 2014 International Conference
Urednik/ci
Monti, Johanna ; Silberztein, Max ; Monteleone, Mario ; Pia di Buono, Maria
Izdavač
Cambridge Scholars Publishing
Grad
Newcastle upon Tyne
Godina
2015
Raspon stranica
198-210
ISBN
1-4438-7558-9
Ključne riječi
family tree, family relationships, kinship, local grammars, syntactic grammars, NooJ, Python
Sažetak
Croatian language uses separate terms for each member in a family tree. These terms may differ among different geographical parts of Croatia as well. We will use NooJ to try and build a family tree by using syntactic grammars applied to the Croatian obituaries. Obituaries in Croatia have a recognizable form with few alternations. Its structure can be divided into four main sections (notice about the death, name of the deceased, date and place of the funeral, grieving family). For this project, sections two and four are of special interest as they can be used to build a family tree of living relatives of the deceased. The first task in the project is to recognize the deceased person since other relationships might differ depending of the gender of the deceased. Than a list of grieving family members, with or without their names (sometimes with a notation such as ‘the family of deceased brother/sister/…) is annotated, again, in some relationships differing on the gender of the name that follows the relationship type. So in an example djeca Nikola, Ana, Frano, Marija – children Nikola, Ana, Frano, Marija, each person is annotated as a <SON> or as a <DAUGHTER> depending on the gender of the name and not as a group <CHILDREN>. After the annotation process, an XML file is produced containing tags <FAMILY DECEASED=”Name” WIFE=”Name” SON=”Name” DAUGHTER=”Name” …>. From this file, a picture with drown relationships is generated using Python.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti