Orthographic databases and lexicons
نویسندگان
چکیده
منابع مشابه
Scale-Free Networks in Phonological and Orthographic Wordform Lexicons
Languages are constrained by the physical, perceptual, and cognitive properties of human communication systems. For instance, there are upper bounds on the amount of time available for communication. These bounds constrain the lengths of phonological and orthographic codes so that communication can proceed apace. There are also constraints on the amount of linguistic information that can be con...
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One of the most important advantages of constraint databases is their ability to represent and to manipulate data in arbitrary dimension within a uniform framework. Although the complexity of querying such databases by standard means such as rst-order queries has been shown to be tractable for reasonable constraints (e.g. polynomial), it depends badly (roughly speaking exponentially) upon the d...
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The increased globalization of science and technology and the growing number of bilinguals and multilinguals in the world have made research with multiple languages a mainstay for scholars who study human function and especially those who focus on language, cognition, and the brain. Such research can benefit from large-scale databases and online resources that describe and measure lexical, phon...
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Abstract In this paper, we present a use of XML and relational database for developing and maintaining Japanese linguistic resources. In languages that do not provide word delimitation in texts (e.g. Chinese and Japanese), consistent delimitation definition of words in a lexicon is a critical issue to build POS tagged corpora. When we change the definition of word delimitation in the lexicon, w...
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In this paper we present an original approach to natural language query interpretation which has been implemented within the FuLL (Fuzzy Logic and Language) Italian project of BC S.r.l. In particular, we discuss here the creation of linguistic and ontological resources, together with the exploitation of existing ones, for natural language-driven database access and retrieval. Both the database ...
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ژورنال
عنوان ژورنال: Orthographic Databases and Lexicons
سال: 2017
ISSN: 1387-6732,1570-6001
DOI: 10.1075/wll.20.1.01cah