Extracting neighborhood density for lexical access using 
phonologically-weighted Levenshtein Distance (pwLD)

Zaccarella, Emiliano; Gradmann, Ute; Carthaus, Anna; Tebay, Sören E.

Local TagsRelease HistoryDetailsSummary

Extracting neighborhood density for lexical access using phonologically-weighted Levenshtein Distance (pwLD)

Zaccarella, E., Gradmann, U., Carthaus, A., & Tebay, S. E. (2020). Extracting neighborhood density for lexical access using phonologically-weighted Levenshtein Distance (pwLD). Poster presented at 26th Architectures and Mechanisms for Language Processing Conference (AMLaP 2020), Potsdam, Germany.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-0007-0C44-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-0C45-F

Genre: Poster

Files

show Files

Locators

show

Creators

show

hide

Creators:
Zaccarella, Emiliano¹, Author
Gradmann, Ute², Author
Carthaus, Anna¹, Author
Tebay, Sören E.³, Author

Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551
2Universität Heidelberg, External Organizations, Heidelberg, Germany, ou_persistent22
3Universität Leipzig, External Organizations, Leipzig, Germany, ou_452891

Content

show

Details

show

hide

Language(s):

Dates: Created: 2020-09

Publication Status: Not specified

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: -

Degree: -

Event

show

hide

Title: 26th Architectures and Mechanisms for Language Processing Conference (AMLaP 2020)

Place of Event: Potsdam, Germany

Start-/End Date: 2020-09-03 - 2020-09-05

Legal Case

show

Project information

show

Source

show