Table of Contents
Tamil (ta)
Tamil Dependency Treebank (TamilTB)
Versions
- TamilTB 0.1
Obtaining and License
TamilTB 0.1 is distributed under the Creative Commons by-nc-sa license. The license in short:
- non-commercial usage
- redistribution permitted
- attribution to Charles University in Prague, Institute of Formal and Applied Linguistics required
- cite one of the principal publications (see below) in published work using the treebank
TamilTB was created by members of the Institute of Formal and Applied Linguistics (Ústav formální a aplikované lingvistiky, ÚFAL), Faculty of Mathematics and Physics (Matematicko-fyzikální fakulta), Charles University in Prague (Univerzita Karlova v Praze), Malostranské náměstí 25, Praha, CZ-11800, Czechia.
References
- Website
- Data
- no separate citation
- Principal publications
- Loganathan Ramasamy, Zdeněk Žabokrtský: Tamil Dependency Parsing: Results using Rule Based and Corpus Based Approaches. In: Proceedings of the 12th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2011) – Volume Part I, pages 82-95, Tokyo, Japan, 2011, published by Springer Berlin / Heidelberg, ISBN 978-3-642-19399-6.
- Loganathan Ramasamy, Zdeněk Žabokrtský: Prague Dependency Style Treebank for Tamil. In: Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012), İstanbul, Turkey, 2012
- Documentation
- Loganathan Ramasamy, Zdeněk Žabokrtský: Tamil Dependency Treebank (TamilTB) – 0.1 Annotation Manual. Technical Report TR-2011-42, ÚFAL MFF UK, Praha, Czechia, 2011
Domain
News (http://www.dinamani.com/).
Size
Version 0.1 contains 9581 tokens in 600 sentences, yielding 15.97 tokens per sentence on average. We defined the following data split: 7592 tokens / 480 sentences training, 1989 tokens / 120 sentences test.
Inside
Tamil script has been romanized (the romanization is case-sensitive).
The treebank is distributed in three formats: TMT (TectoMT XML), CoNLL and TnT-tagger style (only POS-tagged layer).
Morphological annotation is manual and it includes lemmas, parts of speech and morphosyntactic features. Syntactic annotation follows the style of the Prague Dependency Treebank.
Sample
The first sentence of the CoNLL version of training data:
| 1 | cennai | cennai | N | NEN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 2 | AAdjn | _ | _ |
| 2 | arukE | arukE | P | PP------- | _ | 18 | AuxP | _ | _ |
| 3 | sri | sri | N | NEN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 4 | Atr | _ | _ |
| 4 | perumpuTUril | perumpuTUr | N | NEL-3SN-- | Cas=L|Per=3|Num=S|Gen=N | 18 | AAdjn | _ | _ |
| 5 | kirIn | kirIn | N | NEN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 6 | Atr | _ | _ |
| 6 | pIltu | pIltu | N | NEN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 11 | Atr | _ | _ |
| 7 | ( | ( | Z | Z:------- | _ | 6 | AuxG | _ | _ |
| 8 | wavIna | wavInam | J | JJ------- | _ | 6 | Atr | _ | _ |
| 9 | ) | ) | Z | Z:------- | _ | 6 | AuxG | _ | _ |
| 10 | vimAna | vimAnam | N | NO--3SN-- | Per=3|Num=S|Gen=N | 11 | Atr | _ | _ |
| 11 | wilaiyaTTukkukk | wilaiyam | N | NND-3SN-- | Cas=D|Per=3|Num=S|Gen=N | 12 | Atr | _ | _ |
| 12 | Ana | Aku | T | Tg------- | _ | 13 | Atr | _ | _ |
| 13 | wilam | wilam | N | NNN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 18 | Sb | _ | _ |
| 14 | yArukkum | yAr | R | RBD-3SA-- | Cas=D|Per=3|Num=S|Gen=A | 15 | Atr | _ | _ |
| 15 | pATippu | pATippu | N | NNN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 16 | Comp | _ | _ |
| 16 | illATa | il | P | PP------- | _ | 17 | AuxP | _ | _ |
| 17 | vakaiyil | vakai | N | NNL-3SN-- | Cas=L|Per=3|Num=S|Gen=N | 18 | AAdjn | _ | _ |
| 18 | etukkap | etu | V | Vu-T---AA | Ten=T|Voi=A|Neg=A | 20 | Obj | _ | _ |
| 19 | patum | patu | V | VR-F3SNPA | Ten=F|Per=3|Num=S|Gen=N|Voi=P|Neg=A | 18 | AuxV | _ | _ |
| 20 | enRu | en | T | Tt-T----A | Ten=T|Neg=A | 23 | AuxC | _ | _ |
| 21 | muTalvar | muTalvar | N | NNN-3SH-- | Cas=N|Per=3|Num=S|Gen=H | 22 | Atr | _ | _ |
| 22 | karuNAwiTi | karuNAwiTi | N | NEN-3SH-- | Cas=N|Per=3|Num=S|Gen=H | 23 | Sb | _ | _ |
| 23 | uRuTiyaLiTT | uRuTiyaLi | V | Vt-T---AA | Ten=T|Voi=A|Neg=A | 0 | Pred | _ | _ |
| 24 | uLLAr | uL | V | VR-T3SHAA | Ten=T|Per=3|Num=S|Gen=H|Voi=A|Neg=A | 23 | AuxV | _ | _ |
| 25 | . | . | Z | Z#------- | _ | 0 | AuxK | _ | _ |
The first sentence of the CoNLL version of test data:
| 1 | pikAr | pikAr | N | NEN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 2 | Atr | _ | _ |
| 2 | iliruwTu | iliruwTu | P | PP------- | _ | 4 | AuxP | _ | _ |
| 3 | ErALamAna | ErALamAna | J | JJ------- | _ | 4 | Atr | _ | _ |
| 4 | iLainjarkaL | iLainjar | N | NNN-3PA-- | Cas=N|Per=3|Num=P|Gen=A | 9 | Sb | _ | _ |
| 5 | vElai | vElai | N | NNN-3SN-- | Cas=N|Per=3|Num=S|Gen=N | 6 | Obj | _ | _ |
| 6 | TEti | TEtu | V | Vt-T---AA | Ten=T|Voi=A|Neg=A | 9 | AAdjn | _ | _ |
| 7 | veLi | veLi | J | JJ------- | _ | 8 | Atr | _ | _ |
| 8 | mAwilangkaLukku | mAwilam | N | NND-3PN-- | Cas=D|Per=3|Num=P|Gen=N | 9 | AAdjn | _ | _ |
| 9 | kutipeyarwTu | kutipeyar | V | Vt-T---AA | Ten=T|Voi=A|Neg=A | 0 | Pred | _ | _ |
| 10 | varukinRanar | varu | V | VR-P3PHAA | Ten=P|Per=3|Num=P|Gen=H|Voi=A|Neg=A | 9 | AuxV | _ | _ |
| 11 | . | . | Z | Z#------- | _ | 0 | AuxK | _ | _ |
Parsing
Nonprojectivities in PADT are very rare. Only 15 of the 9581 tokens are attached nonprojectively (0.16%).
Initial parsing results were published by (Ramasamy and Žabokrtský, 2011). They use smaller data and different training-test data split than defined here (2008 tokens training, 953 tokens test).
| Parser (Authors) | LAS | UAS |
|---|---|---|
| Malt (Nivre et al.) | 65.69 | 75.03 |
| MST (McDonald et al.) | 65.69 | 74.92 |