A Maximum Entropy Model of Phonotactics and Phonotactic Learning
نویسندگان
چکیده
منابع مشابه
A Maximum Entropy Model of Phonotactics and Phonotactic Learning
The study of phonotactics (e.g., the ability of English speakers to distinguish possible words like blick from impossible words like *bnick) is a central topic in phonology. We propose a theory of phonotactic grammars and a learning algorithm that constructs such grammars from positive evidence. Our grammars consist of constraints that are assigned numerical weights according to the principle o...
متن کاملA Maximum Entropy Model of Phonotactics and
The study of phonotactics (e.g., the ability of English speakers to distinguish possible words like blick from impossible words like *bnick) is a central topic in phonology. We propose a theory of phonotactic grammars and a learning algorithm that constructs such grammars from positive evidence. Our grammars consist of constraints that are assigned numerical weights according to the principle o...
متن کاملMaximum Entropy Model Learning of Subcategorization Preference
Abstract This paper proposes a novel method for learning probabilistic models of subcategorization preference of verbs. Especially, we propose to consider the issues of case dependencie~ and noun class generalization in a uniform way. We adopt the maximum entropy model learn~,g method and apply it to the task of model learning of subcategorization preference. Case dependencies and noun class ge...
متن کاملLearning OT Constraint Rankings Using a Maximum Entropy Model
A weakness of standard Optimality Theory is its inability to account for grammars with free variation. We describe here the Maximum Entropy model, a general statistical model, and show how it can be applied in a constraint-based linguistic framework to model and learn grammars with free variation, as well as categorical grammars. We report the results of using the MaxEnt model for learning two ...
متن کاملMaximum Entropy and Learning Theory
We derive the learning theory recently reported by Tishby, Levin, and Solla (TLS) without statistical mechanics. We show that the theory generally applies to any problem of modeling data. We analyze an elementary example for which we find the predictions consistent with intuition and conventional statistical results. We numerically examine the more realistic problem of training a competitive ne...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Linguistic Inquiry
سال: 2008
ISSN: 0024-3892,1530-9150
DOI: 10.1162/ling.2008.39.3.379