Knowledge-poor approach to constructing word frequency lists, with examples from romance languages

1. Makagonov, Pavel
2. Gelbukh, Alexander F.
3. Alexandrow, Mikhail
4. Blanco Escoda, Xavier

Exportieren

Exportieren

×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Exportieren

×

Das Dokument kann nicht exportiert werden, da es zu einem anderen Portal gehört.

Volltext

lock_openRUA externo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Andere Publikationen in: Procesamiento del lenguaje natural

Zusammenfassung

Word frequency lists extracted from documents are widely used in many procedures of text clustering and categorization. Usually for compilation of such lists morphological-based approaches (such as the Porter stemmer) to join the words having the same base meaning are used. However such an approach needs many language-dependent linguistic resources or knowledge when working with multilingual data and multithematic document collections. We suggest two procedures based on empirical formulae of word similarity. Simple adjustment of the parameters of the formulae allows tuning them to different European languages. We demonstrate the application of o

Fuente de los datos: Dialnet