Special Issue "Information Theory and Language"
Deadline for manuscript submissions: closed (31 October 2019).
A printed edition of this Special Issue is available here.
Interests: information theory; natural language; ergodic theorems; hidden Markov process; long-range dependence; universal coding; Renyi entropies; recurrence times; subword complexity; repetitions; Kolmogorov complexity; algorithmic randomness
2. DFG Center for Advanced Studies, University of Tübingen, Rümelinstraße 23, D-72070 Tübingen, Germany
Interests: information theory; linguistic typology; language evolution
The historical roots of information theory lie in statistical investigations of communication in natural language during the 1950s. In the decades that followed, however, linguistics and information theory developed largely independently, due to influential non-probabilistic theories of language. Recently, statistical investigations into natural language(s) have gained momentum again, driven by progress in computational linguistics, machine learning, and cognitive science. These developments are reopening the communication channel between information theorists and language researchers. Both information theory and linguistics have made important discoveries since the 1950s. While the two frameworks have sometimes been framed as irreconcilable, we believe that they are fully compatible. We expect fruitful cross-fertilization between the two fields in the near future.
In this Special Issue, we invite researchers working at the interface of information theory and natural language to present their original and recent developments. Possible topics include but are not limited to the following:
- Applications of information-theoretic concepts to the research of natural language(s);
- Mathematical work in information theory inspired by natural language phenomena;
- Empirical and theoretical investigation of quantitative laws of natural language;
- Empirical and theoretical evaluation of statistical language models.
Dr. Łukasz Dębowski
Dr. Christian Bentz
Manuscript Submission Information
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- natural language
- mutual information
- entropy rate
- excess entropy
- maximal repetition
- power laws
- minimum description length
- statistical language models
- neural networks
- quantitative linguistics
- linguistic typology