1. 1 NOOJ Conference Inalco, Saarbruecken June 5th, 2013 Vincent BÉNET INALCO CREE Recherche assistée par ordinateur Conception and realisation of semantic tags for the Russian language for Max Silberztein’s Nooj software Russian Module for NooJ: Semantic annotation

2. 2  one main dictionary (95000 entries)  two annex dictionaries  one for proper nouns  one for noun-adjectives Russian Module for NooJ: design and implementation of lexical and grammatical ressources

3. 3 How ? How ? -by adding tags to the general dictionary -by writing grammars Semantic Tagging or Annotation ? Russian Module for NooJ: design and implementation of basic semantic ressources

4. 4 Writing semantic resources for the Russian language The semantic tags of the Russian national Corpus: Taxonomy (a lexeme's thematic class) – for nouns, verbs, adjectives and adverbs. Mereology (“part – whole” and “element – aggregate” relationships) – for concrete and abstract nouns Topology – for concrete names Causation – for verbs Evaluation – for abstract and concrete nouns, adjectives and adverbs

5. 5 Writing semantic resources for the Russian language 27 semantic taxonomic tags for verbs t:move — movement (бежать, дергаться, бросить, нести) t:be — sphere of existence (жить, возникнуть, убить) t:loc — location (лежать, стоять, положить) t:poss — sphere of possession (иметь дать, подарить, приобрести) t:ment — mental sphere (знать, верить, догадаться, помнить) t:perc — perception (смотреть, слышать, нюхать, чуять) t:speech — speech (говорить, советовать, спорить, каламбурить) t:sound — sounds (гудеть, шелестеть) t:light — light (гаснуть, лучиться)

6. 6 Semantic information in the Russian national corpus (Verbs)

7. 7 Writing semantic resources for the Russian language khodit’,V+Mvt+Indet+ipf+intr+FLX=ходить Idti,V+Mvt+Det+ipf+intr+FLX=идти Vkhodit’,V+Mvt+Pvb+ipf+intr+FLX=ходить Vojti ’,V+Mvt+Pvb+pf+intr+FLX=идти Vykhodit’,V+Mvt+Pvb+ipf+intr+FLX=ходить Priezzhat’,V+Mvt+Pvb+ipf+intr+FLX=акать

8. 8 Grammar to locate the verbs of motion

9. 9 Searching for « verbs of motion » with Nooj

10. 10 Searching for « verbs of motion » with Nooj

11. 11 Writing semantic resources for the Russian language — concrete nouns (девочка, стол, молоко) — abstract nouns (вождение, яркость, время) — proper names (Иван, Эйнштейн, Петроград) — person (человек, учитель) — ethnonyms (эфиоп, итальянка) — kinship terms (брат, бабушка) — supernatural creatures (русалка, инопланетянин) — animals (корова, жираф, сорока, ящерица, муравей) — plants (береза, роза, трава) a.s.o.

12. 12 Semantic information in the Russian national corpus (Nouns)

13. 13 Semantic information in the Russian national corpus (Adjectives)

14. 14 Semantic information in the Russian national corpus (Adverbs)

15. 15 Writing basic semantic resources for the Russian language Nooj properties.def file N_Genre = m | f | n ; N_SGenr = an | inan ; N_Nombre = s | p; N_Cas = Im | Vi | Ro | R2 | Da | Tv | Pr | P2 | Zv ; … V_Type = Mvt; V_Morph = Pref | Suff;

16. 16 Writing basic semantic resources for the Russian language Nooj properties.def file A_Sem = Animal; Color ( Hum = App) N_Sem = Hum | Prof | Parents | Body Conc | Abstr | Org | Text | Animal | Food | Health | Arts | Lit | Music | Sports Topo | Country | River | City | Mount| Lake | Posit | Time | Color ; ADV_Sem = Time |Topo | Modal; V_Sem = Color | Topo | Posit |Modal;

17. 17 Writing semantic resources for the Russian language mal’chik, N+an+Hum+FLX=bul’dog pered tem kak,CONJ+UNAMB+Time Moskva,N+f+inan+City+FLX=Москва Don,N+m+inan+River+FLX=Дон Katar,N+Country+m+s+FLX=Ленинград Nora,N+Forename+Hum+f+an+FLX=Лена

18. 18 Writing semantic resources for the Russian language zelënyj,A+Color+FLX=novyj zelenovatyj,A+ Color+FLX= zelënen’kij, A+Color+FLX=novyj temno-zelënyj, A+Color+FLX=novyj zelen’,N+f+inan+Color+FLX=smes’ zelenet’,V+intr+ipf+Color+FLX=belet’ zazelenet’,V+intr+pf+Color+FLX=belet’ zazelenet’sja,V+sja+pf+Color+FLX=….

19. 19 Writing basic semantic resources for the Russian language Prof = 900 Parent = 160 items Forenames = 2280 Animal = 370 Food = 280 (Liquid = 25 ) Body = 285 Health = 175 Arts = 65 Lit = 40 Music = 155 Sport = 65 Topo = 40 Country = 180 River = 15 City = 175 Mount = 5 Lake = 5 Posit = 25 Time = 135 Modal = 15 Color = 275

20. 20 Searching for « colors » with Nooj

21. 21 Searching for « body parts » with Nooj

22. 22 Searching for « parents (relatives) » words with Nooj

23. 23 Writing basic semantic resources for the Russian language NEXT WORK TO BE DONE…. -Completion of the dictionary for concrete nouns using thematic dictonaries -a new parameter to the dictionary +Translation= to use Nooj as a resource to build basic dictionaries for parallel corpuses.

24. 24 NOOJ Conference Inalco, Saarbruecken June 5th, 2013 vincent.benet@inalco.fr Thank you for your attention Russian Module for NooJ: Semantic annotation