Utrecht Linguistic Database. Computational Tools for Linguistic Data March 15, Rapid Application Development

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1 Utrecht Linguistic Database Computational Tools for Linguistic Data March 15, 2002 Maaike Schoorlemmer Lennart Herlaar Harmen van der Iest Martin Everaert Alexis Dimitriadis Peter Ackema 1 Introduction Project overview Some examples Rapid Application Development Current status Concluding remarks 2 Computational Tools for Linguistic Data - March 15,

2 Project overview (1) Project goal Research tool Functional requirements Storage of linguistic material of any size and type of any type at any level Search facilities 3 Project overview (2) Project management Linguistic feature design Technical infrastructure design ER modeling Database implementation Rapid Application Development (RAD) 4 Computational Tools for Linguistic Data - March 15,

3 Linguistic features Data s Judgments Paradigms Languages Typology Spellings Scripts Sources Questionnaires People History 5 Technical infrastructure Components MS-SQL Server database on Windows 2000 platform for data storage and management Delphi 6 client on Windows 9x/NT/2000/XP platform for data maintenance WWW-based client WWW client for data querying Fully Unicode compliant Keyboard mappings ULD client WWW server RDBMS (MS-SQL) Database 6 Computational Tools for Linguistic Data - March 15,

4 Entity-Relationship model 7 Database implementation 8 Computational Tools for Linguistic Data - March 15,

5 Samples and examples Sample Sample Example Gisteren vond ik een boek op straat Example Ik heb het maar meegenomen Example Ik heb haar maar meegenomen 9 Relevant partial ER model 10 Computational Tools for Linguistic Data - March 15,

6 Bracketing and trees [ CP Gisteren vond [ IP ik t v [ VP t DP [ V [ DP een [ NP boek]][ V [ PP op [ DP straat ]]t v ]]]]] CP AdvP gisteren C 0 vond IP DP ik I 0 t V DP t DP VP DP D een NP N boek P op PP DP straat t V 11 Relevant partial ER model 12 Computational Tools for Linguistic Data - March 15,

7 s Label : Subject inversion Type : Word order Gisteren vond ik een boek op straat Label : Coreferent Type : Coreference Ik heb het maar meegenomen 13 Relevant partial ER model 14 Computational Tools for Linguistic Data - March 15,

8 Judgments Gisteren vond ik een boek op straat Label : Coreferent Type : Coreference Judgment Type : * Analyst : 2273 Ik heb haar maar meegenomen 15 Relevant partial ER model 16 Computational Tools for Linguistic Data - March 15,

9 s and judgments Gisteren vond ik een boek op straat Ik nam het maar mee Label : Closure Type : Narrative structure Judgment Type : * Analyst : Morphological analysis Label : Stem Type : Morphological gloss Label : Umlaut Type : Morphological gloss [vond-ø] find Label : Past Type : Morphological gloss Label : Sg Type : Morphological gloss 18 Computational Tools for Linguistic Data - March 15,

10 Relevant partial ER model 19 Groupings Label : Stem Type : Morph. gloss Label : Umlaut Type : Morph. gloss Label : Past Type : Morph. gloss [vond-ø] find [vond-en] find Label : Sg Type : Morph. gloss Label : Pl Type : Morph. gloss Grouping Type : Paradigm Name : Past tense vinden vond vonden Sg Pl 20 Computational Tools for Linguistic Data - March 15,

11 Relevant partial ER model 21 Groupings Gisteren vond ik een boek op straat Judgment Type : OK Analyst : 2273 Label : Coreferent Type : Coreference Label : Coreferent Type : Coreference Judgment Type : * Analyst : 2273 Ik heb het maar meegenomen Grouping Type : Contrast Name : Pronominal reference Ik heb haar maar meegenomen 22 Computational Tools for Linguistic Data - March 15,

12 Typology Language Name: Standard Dutch Language typology Typological property: V2 Condition for use : Main clause Typical example Gisteren vond ik een boek op straat 23 Relevant partial ER model 24 Computational Tools for Linguistic Data - March 15,

13 Conditions for use (1) Language Name: Standard Dutch Language typology Typological property: V2 Condition for use : Main clause If: main clause unless: topic drop yes-no question non-finite introduced by conjunction unless: want dus 25 Conditions for use (2) main clause AND NO (topic drop OR yes-no question OR non-finite OR (introduced by conjunction AND NO ( want OR dus ))) topic drop main clause AND OR NO OR yesno question OR nonfinite AND introduced by conjunction NO OR want dus 26 Computational Tools for Linguistic Data - March 15,

14 Relevant partial ER model 27 Rapid App. Development (1) 28 Computational Tools for Linguistic Data - March 15,

15 Rapid App. Development (2) 29 Rapid App. Development (3) 30 Computational Tools for Linguistic Data - March 15,

16 Rapid App. Development (4) 31 Rapid App. Development (5) 32 Computational Tools for Linguistic Data - March 15,

17 Rapid App. Development (6) 33 Rapid App. Development (7) 34 Computational Tools for Linguistic Data - March 15,

18 Current status Design is ready Database is ready Data maintenance client is in beta Data must be entered WWW client must be produced 35 Concluding remarks Flexible linguistic database system with required features is feasible High flexibility implies high complexity 70 database tables Seperation of design and implementation is crucial 36 Computational Tools for Linguistic Data - March 15,

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