Language-Level Syntactic and Semantic Constraints Applied to Visual Word Recognition
نویسنده
چکیده
Varions aspects of using language·level syntaCtic and semantic constraints to improve the performance of word recognition algorithms are discnssed. Following a brief presentation of a hypothesis generation model for handwriaen word recognition. varions types of language· level constraints are rev1?ed. Methods that exploit !hese characteristics are discussed including imra-document word conelation. common vocabularies, part-of-speecb. tag cooccurrence. SlIUctural parsing with a cb.art data structure. and semantic biasing with a thesaurns.
منابع مشابه
Langnage-Level Syntactic and Semantic Constraints Applied to Visnal Word Recognition
VariOllS aspects of using language-level syntactic and semantic cOUM straints to improve the performance of word recognition algorithms are dis~ cussed, Following a brief presentation of a hypothesis generation model for handwritten word recognition, various types of languageMlevel constraints are reviewed, Methods that exploit these characteristics are discussed including intraMdocument word c...
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