Using large corpora of chronologically ordered language, it is possible to explore diachronic phenomena, identifying previously unknown correlations between language usage and time periods, or epochs. We focused on a statistical approach to epoch delimitation and introduced the task of epoch characterization. We investigated the significant changes in the distribution of terms in the Google N-gram corpus and their relationships with emotion words. The results show that the method is reliable and the task is feasible.

Behind the Times: Detecting Epoch Changes using Large Corpora / Popescu, O.; Strapparava, C.. - (2013), pp. 347-355. ((Intervento presentato al convegno 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 tenutosi a Nagoya, Japan nel 2013.

Behind the Times: Detecting Epoch Changes using Large Corpora

Popescu O.;Strapparava C.
2013

Abstract

Using large corpora of chronologically ordered language, it is possible to explore diachronic phenomena, identifying previously unknown correlations between language usage and time periods, or epochs. We focused on a statistical approach to epoch delimitation and introduced the task of epoch characterization. We investigated the significant changes in the distribution of terms in the Google N-gram corpus and their relationships with emotion words. The results show that the method is reliable and the task is feasible.
6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
USA
Asian Federation of Natural Language Processing
Popescu, O.; Strapparava, C.
Behind the Times: Detecting Epoch Changes using Large Corpora / Popescu, O.; Strapparava, C.. - (2013), pp. 347-355. ((Intervento presentato al convegno 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 tenutosi a Nagoya, Japan nel 2013.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/343271
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? ND
social impact