Hindi Treebank - Dipti Misra Sharma
- LTRC
- International Institute of Information Technology
- Hyderabad
- India
Outline Some Problem Cases Our Approach The team
Hindi Language
Relatively simpler morphology – compared to other Indian Languages Relatively flexible word order For example,
1. a) baccaa phala khaataa hai ‘child’ ‘fruit’ ‘eats’ c) phala khaataa hai baccaa d) baccaa khaataa hai phala
Basic Structure in PS
PS for 1(b)
Problems Complex tree In what ways subject (baccaa) is different from object (phala) ?
How to Draw PSs for 1 (c-d) ?
1 c) baccaa khaata hai phala 'child' 'eat+hab' 'pres' 'fruit' 1 d) phala khaata hai baccaa 'fruit' 'eat+hab' 'pres' 'child'
Simple and perfectly natural sentences - difficult to handle in Phrase Structure
Dependency Structure
Complex predicates Two different entities behave as a single unit - Conjunct verb ‘prashna kiyaa’ below
- 2. mohana ne ravi se prashna kiyaa
'Mohan' 'erg' 'Ravi' 'to' 'question' 'did' “Mohan asked Ravi a question' 'Mohan' 'erg' 'one' 'question' 'do+perf' 'past' - The elements in a complex predicate can also be dis-contiguous
- 4. prashna to mohana ne kiyaa thaa
- 'question' 'part' 'Mohan' 'erg' 'do+perf' 'past'
DS for Dis-contiguous Elements
Paninian Grammatical model - Better for languages with flexible word order
- Works at syntactico-semantic level
Offers two levels of analysis - Relations :
- Kaaraka : Direct relations of nouns to a verb
- Other relations : Possesive, reason, cause etc
- (semantic dependencies)
- Vibhaktis : Relation markers
- ( For details Akshar Bharati et al Natural Language Parsing - a Paninian Perspective (1995) )http://ltrc.iiit.net/showfile.php?filename=downloads/nlpbook/index.html
The Team Rajeev Sangal Dipti Misra Sharma Lakshmi Bai Ramakrishmacharyulu Rafiya Begam Samar Husain Arun Dhwaj
Some More Phenomena jo-vo constructions mujhase gilaasa TuuTa gayaa 'by me' 'glass' 'break' 'went' * “The glass broke by me” 'Ram' 'most' 'big' 'son' 'was' 'Dasharatha' 'of' “Ram was the eldest son of Dasharatha'
PS
DS
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