Investigation of Zipf’s ‘law-of-meaning’ on Turkish corpora

By Bahar Ilgen, Bahar Karaoglan. 2007

17 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Language and Linguistics, Natural Language Processing

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

1. Jure Leskovec
2. William L. Hamilton
3. Dan Jurafsky
4. Percy Liang
5. Yoshua Bengio
6. Marinka Zitnik
7. Philip S. Yu
8. Rex Ying

In Language and Linguistics

1. Jure Leskovec
2. Dan Jurafsky
3. Jillian Grennan

In Natural Language Processing

1. Jure Leskovec
2. William L. Hamilton
3. Dan Jurafsky
4. Luke S. Zettlemoyer
5. Noah A. Smith
6. Kyunghyun Cho
7. Hannaneh Hajishirzi
8. Mohit Bansal

Citations in the corpus

• Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016, background): “Furthermore, polysemy is strongly correlated with frequency—high frequency words have more senses (Zipf, 1945; İlgen and Karaoglan, 2007)—so understanding how polysemy relates to semantic change requires controling for word frequency.”