Spatial and Planning Models of ASL Classifier Predicates for Machine Translation
نویسنده
چکیده
A difficult aspect of the translation of English text into American Sign Language (ASL) animation has been the production of ASL phenomena called “classifier predicates.” The complex way these expressions use the 3D space around the signer challenges traditional MT approaches. This paper presents new models for classifier predicates based on a 3D spatial representation and an animation planning formalism that facilitate a translation approach and are compatible with current linguistic accounts of these phenomena. This design can be incorporated into a multi-path architecture to build English-to-ASL MT systems capable of producing classifier predicates.
منابع مشابه
Spatial Representation of Classifier Predicates for Machine Translation into American Sign Language
The translation of English text into American Sign Language (ASL) animation tests the limits of traditional machine translation (MT) approaches. The generation of spatially complex ASL phenomena called “classifier predicates” motivates a new representation for ASL based on virtual reality modeling software, and previous linguistic research provides constraints on the design of an English-toClas...
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The translation of English text into American Sign Language (ASL) animation tests the limits of traditional MT architectural designs. A new semantic representation is proposed that uses virtual reality 3D scene modeling software to produce spatially complex ASL phenomena called “classifier predicates.” The model acts as an interlingua within a new multi-pathway MT architecture design that also ...
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