DATR: A Language for Lexical Knowledge Representation
نویسندگان
چکیده
Irregular lexemes are standardly regular in some respect. Most are just like regular lexemes except that they deviate in one or two characteristics. What is needed is a natural way of saying \this lexeme is regular except for this property". One obvious approach is to use nonmonotonicity and inheritance machinery to capture such lexical irregularity (and subregularity), and much recent research into the design of representation languages for natural language lexicons has thus made use of nonmonotonic inheritance networks (or \semantic nets") as originally developed for more general representation purposes in Arti cial Intelligence. Daelemans et al. (1992) provide a rationale for, and an introduction to, this body of research and we will not rehearse the content of that paper here, nor review the work cited there 1 . DATR is a rather spartan nonmonotonic language for de ning inheritance networks with path/value equations. In keeping with its intendedly minimalist character, it lacks many of the constructs embodied either in general purpose
منابع مشابه
Representing Lexical Knowledge for Bulgarian Inflectional Morphology in DATR
The paper analyses the application of DATR language for lexical knowledge presentation for interpreting Bulgarian inflectional morphology. It discuss the semantic network of the feature of definiteness in Bulgarian language and compares the lexical knowledge representation for the different part-of-speech with respect to the defined grammar rules, the sound alternations, the related formal pres...
متن کاملEncoding Lexicalized Tree Adjoining Grammars with a Nonmonotonic Inheritance Hierarchy
This paper shows how DATR, a widely used formal language for lexical knowledge representation, can be used to define an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as covariation constraints within feature structures. Such an approach eliminates the considerable redunda...
متن کاملAutomatic Inference of DATR Theories
An approach for the automatic acquisition of linguistic knowledge from unstructured data is presented. The acquired knowledge is represented in the lexical knowledge representation language DATR. A set of transformation rules that establish inheritance relationships and a defaultinference algorithm make up the basis components of the system. Since the overall approach is not restricted to a spe...
متن کاملA Lexicalized Tree Ad- Joining Grammar for English. a Lexicalized Tree Adjoining Grammar for English. Automatic Acquisition of Datr Theories from Observations. Theories Des Lexicons: 6 Comparison with Related Work 5 Applying Lexical Rules
This paper shows how DATR, a widely used formal language for lexical knowledge representation, can be used to de ne an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as covariation constraints within feature structures. Such an approach eliminates the considerable redundan...
متن کاملIn Proceedings ACL - 95 1 Encoding Lexicalized Tree Adjoining
This paper shows how DATR, a widely used formal language for lexical knowledge representation , can be used to deene an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as co-variation constraints within feature structures. Such an approach eliminates the considerable redund...
متن کاملThe LexSys project
We present an overview of the ongoing LExSvs project1 . The aim is to bring together, and evaluate, a variety of current NLP techniques, including the organisation of grammars into inheritance hierarchies for compact representation, exploitation of diverse precompilation techniques for efficient parsing, and use of statistical analysis to disambiguate parse results. In conjunction with this we ...
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:
- Computational Linguistics
دوره 22 شماره
صفحات -
تاریخ انتشار 1996