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1 STRUCTURAL AND LEXICAL TRANSFER from a UNL GRAPH to a NATURAL LANGUAGE DEPENDENCY TREE Etienne BLANC, Gilles SERASSET, WangJu TSAI GETA, CLIPS-IMAG.

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Presentation on theme: "1 STRUCTURAL AND LEXICAL TRANSFER from a UNL GRAPH to a NATURAL LANGUAGE DEPENDENCY TREE Etienne BLANC, Gilles SERASSET, WangJu TSAI GETA, CLIPS-IMAG."— Presentation transcript:

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2 1 STRUCTURAL AND LEXICAL TRANSFER from a UNL GRAPH to a NATURAL LANGUAGE DEPENDENCY TREE Etienne BLANC, Gilles SERASSET, WangJu TSAI GETA, CLIPS-IMAG

3 2 Natural Language Generator (tree input ) Graph to Tree Transfer Module Voici le résultat e cette traduction dpuis un graphe UNL UNL graph NL treeNL text

4 3 Tree to Graph Transfer Module Natural Language Analyser (tree output ) UNL graph NL tree Voici le résultat e cette traduction dpuis un graphe UNL NL text

5 4 - 1. Principle of the graph to tree transfer - 2. Our tools - 3. Discussion

6 5 1. Principle of the graph to tree transfer (structural transfer) 1.1 Graph having already a tree structure watch applehe agt obj Graph structure watch applehe agtobj Tree structure

7 6 1.2 A node of the graph has several mother nodes : reverting relations He was watching the falling apple. agt(watch(icl>do).@entry.@past.@progress,he(icl>human)) obj(watch(icl>do).@entry.@past.@progress,apple.@def) obj(fall(icl>occur).@past.@progress,apple.@def) watch applehe agt obj fall obj Graph structure watch applehe agt obj fall obj Graph structure 1. Principle of the graph to tree transfer (structural transfer)

8 7 1.2 A node of the graph has several mother nodes : reverting relations He was watching the falling apple. agt(watch(icl>do).@entry.@past.@progress,he(icl>human)) obj(watch(icl>do).@entry.@past.@progress,apple.@def) obj(fall(icl>occur).@past.@progress,apple.@def) watch applehe agt obj fall obj Graph structure watch applehe agtobj fall INV(obj) Tree structure 1. Principle of the graph to tree transfer (structural transfer)

9 8 1.3 Opening a closed circuit. He eats his apple. agt(eat(icl>do).@entry,he(icl>human)) obj(eat(icl>do).@entry,apple) pos(apple, he(icl>human)) Graph structure Tree structure eat applehe:1 agt obj he:1 pos eat applehe agt obj pos 1. Principle of the graph to tree transfer (structural transfer)

10 9 1.3 Processing a compound UW. Isaac sees that an apple fall and he explains it. Graph structure agt(explain(icl>do).@entry,Isaac(icl>proper noun)) obj(explain(icl>do).@entry,:01) obj:01(fall(icl>occur).@entry,apple) and(explain(icl>do).@entry,see(icl>do)) agt(see(icl>do),Isaac(icl>proper noun) obj(see(icl>do),:01) explain Isaac agt see agt :01 obj and :01 apple fall obj 1. Principle of the graph to tree transfer (structural transfer) explain Isaac:01 agt see :01 obj and apple fall obj Isaac:01 agt :01 obj Tree structure

11 10 1. Principle of the graph to tree transfer (lexical transfer) centre center(icl>place) 1.4 : human « monolingual use » of the the PARAX-UNL database.

12 11 1. Principle of the graph to tree transfer (lexical transfer) 1.5 « multilingual use » of the database.

13 12 GENERATIONGENERATION T R A N S F E R ANALYSISANALYSIS 2. Our tools 2.1 The ARIANE generator of MT systems

14 13 T R A N S F E R GENERATIONGENERATION 2. Our tools 2.2 ARIANE based UNL deconverter (working)

15 14 2. Our tools 2.3 ARIANE based UNL enconverter (developing) T R A N S F E R ANALYSISANALYSIS

16 15 2. Our tools 2.4 The « tree based » graph editor

17 16 2. Our tools 2.4 The « tree based » graph editor

18 17 2. Our tools 2.4 The « tree based » graph editor

19 18 sistema 2. Our tools 2.4 The « tree based » graph editor

20 19 2. Our tools 2.4 The « tree based » graph editor

21 20 2. Our tools 2.4 The « tree based » graph editor

22 21 2. Our tools 2.4 The « tree based » graph editor

23 22 2. Our tools 2.4 The « tree based » graph editor

24 23 2. Our tools 2.4 The « tree based » graph editor

25 24 2. Our tools 2.4 The « tree based » graph editor

26 25 3. Discussion


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