Language Networks: The New Word Grammar
By Richard Hudson. 2007
311 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/4c9f1608598dbdb878c518c77cb6b4e8c20b5697
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Eliyahu Kiperwasser
- Miguel Ballesteros
- Jingyang Jiang
- Haitao Liu
- Barbara Plank
- Yoav Goldberg
- André F. T. Martins
- Chris Dyer
Citations in the corpus
- Scheduled Multi-Task Learning: From Syntax to Translation (2018, methodology): “We apply this methodology to jointly learn the multiple tasks, however many of the tasks are not of sequential nature (such as dependency parsing in which the output should be a well-formed dependency tree (Hudson, 1984; Melčuk, 1988)).”
- The effects of sentence length on dependency distance, dependency direction and the implications–Based on a parallel English–Chinese dependency treebank (2015, methodology): “…the understanding and analysis of a sentence is comparable to the process of converting a linear string of words into a dependency tree (graph), then a word can be removed from our working memory only when this word encounters its head and forms a dependency relationship (or a more complex…”
- Dependency Distance as a Metric of Language Comprehension Difficulty (2008, background): “The emphasis on dependency is unsurprising: if human cognitive structure is network-like (Hudson 2007), analysis in terms of a network of syntactic dependencies is an important step towards a conceptual network.”