SOME WORD ORDER BIASES FROM LIMITED BRAIN RESOURCES: A MATHEMATICAL APPROACH
نویسندگان
چکیده
منابع مشابه
Learning biases predict a word order universal.
How recurrent typological patterns, or universals, emerge from the extensive diversity found across the world's languages constitutes a central question for linguistics and cognitive science. Recent challenges to a fundamental assumption of generative linguistics-that universal properties of the human language acquisition faculty constrain the types of grammatical systems which can occur-sugges...
متن کاملTREQ-AL: A word alignment system with limited language resources
We provide a rather informal presentation of a prototype system for word alignment based on our previous translation equivalence approach, discuss the problems encountered in the shared-task on word-aligning of a parallel Romanian-English text, present the preliminary evaluation results and suggest further ways of improving the alignment accuracy.
متن کاملA Mathematical Approach to Order Book Modelling
Motivated by the desire to bridge the gap between the microscopic description of price formation (agent-based modeling) and the stochastic differential equations approach used classically to describe price evolution at macroscopic time scales, we present a mathematical study of the order book as a multidimensional continuous-time Markov chain and derive several mathematical results in the case ...
متن کاملA Mathematical Approach to Order Book Modeling
Motivated by the desire to bridge the gap between the microscopic description of price formation (agent-based modeling) and the stochastic differential equations approach used classically to describe price evolution at macroscopic time scales, we present a mathematical study of the order book as a multidimensional continuous-time Markov chain and derive several mathematical results in the case ...
متن کاملRecession Segmentation: Simpler Online Word Segmentation Using Limited Resources
In this paper we present a cognitively plausible approach to word segmentation that segments in an online fashion using only local information and a lexicon of previously segmented words. Unlike popular statistical optimization techniques, the learner uses structural information of the input syllables rather than distributional cues to segment words. We develop a memory model for the learner th...
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: Advances in Complex Systems
سال: 2008
ISSN: 0219-5259,1793-6802
DOI: 10.1142/s0219525908001702