Word length, sentence length and frequency: Zipf revisited
By B. Sigurd, Mats Eeg-Olofsson, Joost van de Weijer. 2004
199 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/a3442fcde7f5ddb7fcf67ba9a18e72a564778957
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Harry J. Tily
- Roi Blanco
- Edward Gibson
- Tomas Krilavičius
- Christina Lioma
- S. Piantadosi
- Justina Mandravickaite
- Morten H. Christiansen
Citations in the corpus
- Word lengths are optimized for efficient communication (2011, background): “The exact forms of the frequency–length relationship (3, 4) and the distribution of word lengths (5) have been quantitatively evaluated previously.”
- Stylometric Analysis of Parliamentary Speeches: Gender Dimension (2017, methodology): “We use the most frequent words (MFW) (Burrows, 1992; Hoover, 2007; Eder, 2013b; Rybicki and Eder, 2011; Eder and Rybicki, 2013; Eder, 2013a) (usually, they coincide with function words (Hochmann et al., 2010; Sigurd et al., 2004)), as features, because they are considered to be topicneutral and perf”
- Graph-based term weighting for information retrieval (2012, methodology): “Given that the average sentence length for English is 20 words (Sigurd et al. 2004), this choice of context N = 10 seems reasonable; in fact, N = 10 has been used in other text processing tasks that consider context within sentences, e.g. the context-based word sense disambiguation of Schütze and…”