Haskell's deriving mechanism supports the automatic generation of instances for a number of functions. The Haskell 98 Report only specifies how to generate instances for the Eq, Ord, Enum, Bounded, Show, and Read classes. The description of how to generate instances is largely informal. The generation of instances imposes restrictions on the shape of datatypes, depending on the particular class to derive. As a consequence, the portability of instances across different compilers is not guaranteed.We propose a new approach to Haskell's deriving mechanism, which allows users to specify how to derive arbitrary class instances using standard datatype-generic programming techniques. Generic functions, including the methods from six standard Haskell 98 derivable classes, can be specified entirely within Haskell 98 plus multi-parameter type classes, making them lightweight and portable. We can also express Functor, Typeable, and many other derivable classes with our technique. We implemented our deriving mechanism together with many new derivable classes in the Utrecht Haskell Compiler.
In this paper we describe the architecture of the Utrecht Haskell Compiler (UHC). UHC is a new Haskell compiler, that supports most (but not all) Haskell 98 features, plus some experimental extensions. It targets multiple backends, including a bytecode interpreter backend and a whole-program analysis backend, both via C. The implementation is rigorously organized as stepwise transformations through some explicit intermediate languages. The tree walks of all transformations are expressed as an algebra, with the aid of an Attribute Grammar based preprocessor. The compiler is just one materialization of a framework that supports experimentation with language variants, thanks to an aspect-oriented internal organization.
Haskell's deriving mechanism supports the automatic generation of instances for a number of functions. The Haskell 98 Report only specifies how to generate instances for the Eq, Ord, Enum, Bounded, Show, and Read classes. The description of how to generate instances is largely informal. The generation of instances imposes restrictions on the shape of datatypes, depending on the particular class to derive. As a consequence, the portability of instances across different compilers is not guaranteed.We propose a new approach to Haskell's deriving mechanism, which allows users to specify how to derive arbitrary class instances using standard datatype-generic programming techniques. Generic functions, including the methods from six standard Haskell 98 derivable classes, can be specified entirely within Haskell 98 plus multi-parameter type classes, making them lightweight and portable. We can also express Functor, Typeable, and many other derivable classes with our technique. We implemented our deriving mechanism together with many new derivable classes in the Utrecht Haskell Compiler.
This chapter on the reading of words by multilinguals considers how retrieving words in two or more languages is affected by the lexical properties of the words, the sentence context in which they occur, and the language to which they belong. Reaction time and event-related potential (ERP) studies are discussed that investigate the processing of cognates, interlingual homographs, and words with different numbers of neighbors, both in isolation and in sentence context. After reviewing different models for multilingual word retrieval, it is concluded that multilingual word recognition involves a language-independent, context-sensitive, and interactive pattern recognition routine, with temporal properties that can be determined not only by “classical” reaction time techniques, but even better by up-to-date research techniques such as eye-tracking and ERP recordings.
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