Stochastic phonological knowledge: the case of Hungarian vowel harmony

By Bruce Hayes, Z. Londe. Phonology, 2006

251 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/b13879d3a8fd8caef7aee3b98842167c8f1d5f78

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. Kie Zuraw
2. Bruce Hayes
3. Z. Londe
4. Yuwen Lai
5. Jie Zhang
6. Joe Pater
7. Andries W. Coetzee
8. KevinM . Ryan

In Experimental and Cognitive Psychology

1. Kie Zuraw
2. Bruce Hayes
3. Z. Londe
4. Jie Zhang
5. Yuwen Lai
6. Andries W. Coetzee
7. Joe Pater
8. KevinM . Ryan

Citations in the corpus

• Intersecting constraint families: An argument for harmonic grammar (2017, background): “Earlier nonce-probe testing (Hayes & Londe 2006:71) showed that experimental participants essentially treat B as invariantly back and NN and F as invariantly front; we assume that including these patterns in Fig.”
• Testing the role of phonetic knowledge in Mandarin tone sandhi* (2010, background): “A dissertation on Natural Phonology.”
• Natural and Unnatural Constraints in Hungarian Vowel Harmony (2009, background): “For further discussion and illustration , see Siptár & Törkenczy 2000:157–70, Hayes & Londe 2006:61–69.”