Pregled bibliografske jedinice broj: 1030343
Dynamic N-Gram System Based on an Online Croatian Spellchecking Service
Dynamic N-Gram System Based on an Online Croatian Spellchecking Service // IEEE Access, 7 (2019), 149988-149995 doi:10.1109/access.2019.2947898 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1030343 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Dynamic N-Gram System Based on an Online Croatian Spellchecking Service
Autori
Gledec, Gordan ; Šoić, Renato ; Dembitz, Šandor
Izvornik
IEEE Access (2169-3536) 7
(2019);
149988-149995
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Croatian language, Heaps’ law, language modeling, lexical n-gram, n-gram system comparison
Sažetak
As an infrastructure able to accelerate the development of natural language processing applications, large-scale lexical n-gram databases are at present important data systems. However, deriving such systems for world minority languages as it was done in the Google n-gram project leads to many obstacles. This paper presents an innovative approach to large-scale n-gram system creation applied to the Croatian language. Instead of using the Web as the world’s largest text repository, our process of n-gram collection relies on the Croatian online academic spellchecker Hascheck , a language service publicly available since 1993 and popular worldwide. Our n-gram filtering is based on dictionary criteria, contrary to the publicly available Google n-gram systems in which cutoff criteria were applied. After 12 years of collecting, the size of the Croatian n-gram system reached the size of the largest Google Version 1 n-gram systems. Due to reliance on a service in constant use, the Croatian n-gram system is a dynamic one. System dynamics allowed modeling of n-gram count behavior through Heaps’ law, which led to interesting results. Like many minority languages, the Croatian language suffers from a lack of sophisticated language processing systems in many application areas. The importance of a rich lexical n-gram infrastructure for rapid breakthroughs in new application areas is also exemplified in the paper.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Zagrebu
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- IET Inspec
- Ei Compendex
- EBSCOhost
- Google Scholar
- Directory of Open Access Journals (DOAJ)