A Response to Richard Sproat on Random Systems, Writing, and Entropy
Bibliographic Data
| ID | 12156305 |
|---|---|
| Authors | Robert J Lee (0000-0001-5826-6686, corresponding author), Rob Lee (0000-0001-6168-0976, School of Biosciences), Philip Jonathan (0000-0001-7651-9181, Lancaster University), Pauline Ziman (PHS Consulting, Ltd.) |
| Year | 2010 |
| Volume | 36 |
| Issue | 4 |
| Pages | 791-794 |
| Publication date | 2010-10-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computational Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0891-2017 • E-ISSN: 1530-9312 |
| Publisher | Association for Computational Linguistics (PUBLISHER • US) |
| DOI | 10.1162/coli_c_00029 |
| OpenAlex | W2028102993 |
| Language | EN |
| Citations received | 4 |
| References cited | 3 |
In his article "Ancient symbols and computational linguistics" (Sproat 2010), Professor Sproat raised two concerns over a method that we have proposed for analyzing small data sets of symbols using entropy (Lee, Jonathan, and Ziman 2010): first, that the method is unable to detect random but non-equiprobable systems; and second, that it misclassifies kudurru texts.W e address these concerns in the following response. © 2010 Association for Computational Linguistics
Algorithm · Computational linguistics · Entropy (arrow of time · Linguistics · Natural language processing · Physics · Principle of maximum entropy · Authorship Attribution and Profiling · Computer Science · Language and cultural evolution · Natural Language Processing Techniques · Philosophy · Artificial Intelligence
| Citations per year | 0.25 |
|---|---|
| Citation span | 2010 - 2015 (6) |
| Highly cited | No |