Language acquisition, data compression and generalization
By J. Gerard Wolff. 1982
Subfields: 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 Natural Language Processing
- Graham Neubig
- Phil Blunsom
- Chris Dyer
- Dani Yogatama
- Kyunghyun Cho
- Mohit Bansal
- Wang Ling
- Noah A. Smith
Citations in the corpus
- Learning and Evaluating General Linguistic Intelligence (2019, background): “The online code is rooted in information theory and is based on connections between generalization, compression, and comprehension (Wolff, 1982; Chaitin, 2007).”
- Reconciling simplicity and likelihood principles in perceptual organization. (1996, background): “, Anderson, 1990; Fried & Holyoak, 1984; Oaksford & Chater, 1994) and those that stress the importance of finding compressed representations (Redlich, 1993; Wolff, 1982).”
- Learning syntactic structure (2007, methodology): “Borrowing structuralist terminology, some authors (Wolff 1982; Stolcke 1994) refer to these operations as syntagmatic merging (grouping words into syntactic units) and paradigmatic merging (grouping units into substitution classes).”
- Simplicity: a unifying principle in cognitive science? (2003, background): “perception Sensoryinput/artificially captured images Filters in early vision Image compression [25] Early vision as compression [ 23 ,22]”