Learning Unbounded Stress Systems via Local Inference

نویسنده

  • Jeffrey Heinz
چکیده

Explaining how children infer grammatical rules based on their limited finite experience is central to the hypothesis of universal grammar—that collection of inductive principles which allows learning to happen. Because children and languages are complex and many factors influence acquisition—physiological, sociolinguistic, articulatory, perceptual, phonological, syntactic, semantic—a simpler question is often asked: How could anything learn some aspect of language? In this paper, the aspect under investigation is the unbounded stress rules found in the world’s languages (described in §1.3). It is useful, however, to factor the problem even further: What contribution can a particular inductive principle—here a particular notion of locality—make to learning such stress rules?

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning Quantity Insensitive Stress Systems via Local Inference

This paper presents an unsupervised batch learner for the quantity-insensitive stress systems described in Gordon (2002). Unlike previous stress learning models, the learner presented here is neither cue based (Dresher and Kaye, 1990), nor reliant on a priori Optimality-theoretic constraints (Tesar, 1998). Instead our learner exploits a property called neighborhooddistinctness, which is shared ...

متن کامل

Ultimate Tendon Stress in CFRP Strengthened Unbounded HSC Post-Tensioned Continuous I-Beams

The use of unbounded tendons is common in prestressed concrete structures and evaluation of the stress increase in unbonded tendons at ultimate flexural strength of such structure has posed a great challenge over the years. Based on the bending experiment for two-span continuous post-tension beams with unbounded tendons and externally applied CFRP sheets, the monitoring of the stress increment ...

متن کامل

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

متن کامل

Learning via Inference over Structurally Constrained Output

We experimentally analyze learning structured output in a discriminative framework where values of the output variables are estimated by local classifiers. In this framework, complex dependencies among the output variables are captured by constraints that dictate how global labels can be inferred. We compare two strategies, learning plus inference and inference based training, by observing thei...

متن کامل

Sufficient Conditions for a Dynamical System to Possess an Unbounded Solution

Presented in this paper are readily veriiable conditions under which a dynamical system of the form _ x = f(x) possesses an unbounded solution. This result is illustrated by showing it can be used to infer results about lack of global stabilizability for nonlinear control systems. The key observation in the paper is that behaviour at innnity can be studied using local methods applied to an auxi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006