Inferring pure context-free languages from positive data
نویسندگان
چکیده
We study the possibilities to infer pure context-free langauges from positive data. We can show that while the whole class of pure context-free languages is not infer-able from positive data, it has interesting subclasses which have the desired inference property. We study uniform pure languages, i.e., languages generated by pure grammars obeying restrictions on the length of the right hand sides of their productions, and pure languages generated by deterministic pure grammars.
منابع مشابه
S N Inferring Pure Context - Free Languages Frompositivedata
We study the possibilities to infer pure context-free langauges from positive data. We can show that while the whole class of pure context-free languages is not inferable from positive data, it has interesting subclasses which have the desired inference property. We study uniform pure languages, i.e., languages generated by pure grammars obeying restrictions on the length of the right hand side...
متن کاملInferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time
Natural languages contain regular, context-free, and contextsensitive syntactic constructions, yet none of these classes of formal languages can be identified in the limit from positive examples. Mildly context-sensitive languages are able to represent some context-sensitive constructions, those most common in natural languages, such as multiple agreement, crossed agreement, and duplication. Th...
متن کاملA Polynomial Time Algorithm for Inferring Grammars for Mildly Context Sensitive Languages
Natural languages are largely context-sensitive, yet context-sensitive grammars cannot be identified in the limit from positive examples [Gold, 1967]. Mildly context-sensitive languages are able to express the most common context-sensitive structures found in natural language. We restrict our view to a class of mildly context-sensitive languages which can be described by simple external context...
متن کاملComparison results of 2D Monogenic Pure Context Free Picture Grammars with other relating models
Picture languages generated by array grammars or accepted by array automata have been studied by researchers and various models have been proposed in the literature, motivated by problems arising in the framework of syntactic methods of pattern recognition and image processing. The notion of Pure 2D Picture Grammars, generating rectangular picture arrays of symbols is already there in the liter...
متن کاملLearning Stochastic Context-Free Grammars from Corpora Using a Genetic Algorithm
A genetic algorithm for inferring stochastic context-free grammars from nite language samples is described. Solutions to the inference problem are evolved by optimizing the parameters of a covering grammar for a given language sample. We describe a number of experiments in learning grammars for a range of formal languages. The results of these experiments are encouraging and compare very favour...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Acta Cybern.
دوره 14 شماره
صفحات -
تاریخ انتشار 2000