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user:zeman:treebanks:et [2011/11/21 13:31] zeman |
user:zeman:treebanks:et [2011/11/28 17:10] zeman New training/test data split. |
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| ==== Size ==== | ==== Size ==== | ||
| - | According to their website, | + | All four parts of the treebank together contain 9491 tokens in 1315 sentences, yielding 7.22 tokens per sentence on average. No official training-test data split is defined. Due to the small size of the treebank and extraordinary domain diversity, a good test set should sample from all four parts of the treebank. This is the case of our HamleDT experimental data split, shown in the last two rows of the table. |
| - | The CoNLL 2006 version contains 705,304 tokens in 39573 sentences, yielding 17.82 tokens per sentence on average (CoNLL 2006 data split: 699,610 tokens | + | ^ File ^ Sentences ^ Terminals ^ Average t/s ^ |
| - | + | | arborest.xml | 175 | 2451 | 14.01 | | |
| - | The CoNLL 2009 version contains 712,332 tokens in 40020 sentences, yielding 17.80 tokens per sentence on average (CoNLL 2009 data split: 648,677 tokens / 36020 sentences | + | | piialaused.xml | 732 | 4505 | 6.15 | |
| + | | ratsepalaused.xml | 388 | 2348 | 6.05 | | ||
| + | | sul.xml | 20 | 187 | 9.35 | | ||
| + | | **total** | **1315** | **9491** | **7.22** | | ||
| + | | training | ||
| + | | test | 131 | 956 | 7.30 | | ||
| ==== Inside ==== | ==== Inside ==== | ||
| - | The treebank is part of the [[http:// | + | The treebank is part of the [[http:// |
| - | All versions contain // | + | The annotation contains lemmas, |
| - | It is not clear what the //semi-automatic// annotation means (probably first auto-tagging, then manual correction? | + | Note that the TIGER-XML format, despite being phrase-based, stores word order separately from structure and thus allows for nonprojectivities. |
| - | + | ||
| - | The original treebank is phrase-based. The dependencies in the CoNLL versions must have thus been drawn using a head-selection procedure. Besides CoNLL data, the TIGER project also provides a subset of the TIGER Treebank in a dependency format. | + | |
| ==== Sample ==== | ==== Sample ==== | ||
| - | The first sentence of TIGER Treebank 2.1 in the TIGER-XML format: | + | The first sentence of the corpus |
| - | <code xml>< | + | <code xml>< |
| - | <graph root=" | + | <graph root="ratsep-13_501"> |
| - | < | + | < |
| - | <t id=" | + | <t id="ratsep-13_1" word="Peeter" lemma=" |
| - | <t id=" | + | <t id="ratsep-13_2" word="aerutas" lemma=" |
| - | <t id="s1_3" word="Perot" lemma=" | + | <t id="ratsep-13_3" word="üle" lemma=" |
| - | <t id="s1_4" word="wäre" lemma=" | + | <t id="ratsep-13_4" word="väina" lemma=" |
| - | <t id="s1_5" word="vielleicht" lemma=" | + | <t id="ratsep-13_5" word="saarele" lemma=" |
| - | <t id="s1_6" word="ein" lemma=" | + | <t id="ratsep-13_6" word="puhkama" lemma=" |
| - | <t id="s1_7" word="prächtiger" lemma=" | + | <t id="ratsep-13_7" word="." lemma=" |
| - | <t id="s1_8" word="Diktator" lemma=" | + | </ |
| - | <t id="s1_9" word="'' | + | |
| - | </ | + | < |
| - | < | + | <nt id="ratsep-13_501" cat="VROOT"> |
| - | <nt id="s1_500" cat="PN"> | + | <edge label=" |
| - | <edge label=" | + | </ |
| - | < | + | <nt id="ratsep-13_502" cat="fcl"> |
| - | | + | <edge label=" |
| - | <nt id="s1_501" cat="NP"> | + | <edge label=" |
| - | <edge label=" | + | <edge label=" |
| - | <edge label=" | + | <edge label=" |
| - | <edge label=" | + | <edge label=" |
| - | </ | + | <edge label=" |
| - | <nt id=" | + | </ |
| - | | + | <nt id="ratsep-13_503" cat="pp"> |
| - | <edge label=" | + | <edge label=" |
| - | <edge label=" | + | <edge label=" |
| - | < | + | </ |
| - | | + | </ |
| - | <nt id="s1_VROOT" cat="VROOT"> | + | </ |
| - | <edge label=" | + | |
| - | <edge label=" | + | |
| - | <edge label=" | + | |
| - | </ | + | |
| - | </ | + | |
| - | </ | + | |
| </ | </ | ||
| - | |||
| - | The first sentence of the CoNLL 2006 training data: | ||
| - | |||
| - | | 1 | `` | _ | $( | $( | _ | 4 | PUNC | 4 | PUNC | | ||
| - | | 2 | Ross | _ | NE | NE | _ | 4 | SB | 4 | SB | | ||
| - | | 3 | Perot | _ | NE | NE | _ | 2 | PNC | 2 | PNC | | ||
| - | | 4 | wäre | _ | VAFIN | VAFIN | _ | 0 | ROOT | 0 | ROOT | | ||
| - | | 5 | vielleicht | _ | ADV | ADV | _ | 4 | MO | 4 | MO | | ||
| - | | 6 | ein | _ | ART | ART | _ | 8 | NK | 8 | NK | | ||
| - | | 7 | prächtiger | _ | ADJA | ADJA | _ | 8 | NK | 8 | NK | | ||
| - | | 8 | Diktator | _ | NN | NN | _ | 4 | PD | 4 | PD | | ||
| - | | 9 | < | ||
| - | |||
| - | The first sentence of the CoNLL 2006 test data: | ||
| - | |||
| - | | 1 | Zwei | _ | CARD | CARD | _ | 2 | NK | 2 | NK | | ||
| - | | 2 | Themen | _ | NN | NN | _ | 14 | SB | 14 | SB | | ||
| - | | 3 | , | _ | $, | $, | _ | 2 | PUNC | 2 | PUNC | | ||
| - | | 4 | die | _ | PRELS | PRELS | _ | 8 | OA | 8 | OA | | ||
| - | | 5 | Perot | _ | NE | NE | _ | 8 | SB | 8 | SB | | ||
| - | | 6 | immer | _ | ADV | ADV | _ | 7 | MO | 7 | MO | | ||
| - | | 7 | wieder | _ | ADV | ADV | _ | 8 | MO | 8 | MO | | ||
| - | | 8 | anspricht | _ | VVFIN | VVFIN | _ | 2 | RC | 2 | RC | | ||
| - | | 9 | , | _ | $, | $, | _ | 2 | PUNC | 2 | PUNC | | ||
| - | | 10 | Rezession | _ | NN | NN | _ | 2 | APP | 2 | APP | | ||
| - | | 11 | und | _ | KON | KON | _ | 10 | CD | 10 | CD | | ||
| - | | 12 | Bürokratie | _ | NN | NN | _ | 10 | CJ | 10 | CJ | | ||
| - | | 13 | , | _ | $, | $, | _ | 14 | PUNC | 14 | PUNC | | ||
| - | | 14 | machen | _ | VVFIN | VVFIN | _ | 0 | ROOT | 0 | ROOT | | ||
| - | | 15 | ihnen | _ | PPER | PPER | _ | 18 | DA | 18 | DA | | ||
| - | | 16 | besonders | _ | ADV | ADV | _ | 18 | MO | 18 | MO | | ||
| - | | 17 | zu | _ | PTKZU | PTKZU | _ | 18 | PM | 18 | PM | | ||
| - | | 18 | schaffen | _ | VVINF | VVINF | _ | 14 | OC | 14 | OC | | ||
| - | | 19 | . | _ | $. | $. | _ | 14 | PUNC | 14 | PUNC | | ||
| - | |||
| - | The first sentence of the CoNLL 2009 training data: | ||
| - | |||
| - | | 1 | `` | _ | `` | $( | $( | _ | _ | 4 | 4 | PUNC | PUNC | _ | _ | | ||
| - | | 2 | Ross | Ross | Roß | NE | NN | Nom< | ||
| - | | 3 | Perot | Perot | Perot | NE | NE | Nom< | ||
| - | | 4 | wäre | sein | sein | VAFIN | VAFIN | 3< | ||
| - | | 5 | vielleicht | vielleicht | vielleicht | ADV | ADV | _ | _ | 4 | 4 | MO | MO | _ | _ | | ||
| - | | 6 | ein | ein | ein | ART | ART | Nom< | ||
| - | | 7 | prächtiger | prächtig | prächtig | ADJA | ADJA | Pos< | ||
| - | | 8 | Diktator | Diktator | Diktator | NN | NN | Nom< | ||
| - | | 9 | < | ||
| - | |||
| - | The first sentence of the CoNLL 2009 development data: | ||
| - | |||
| - | | 1 | Maschinenbau | Maschinenbau | Maschinenbau | NN | NN | Nom< | ||
| - | | 2 | / | _ | / | $( | $( | _ | _ | 0 | 1 | PUNC | PUNC | _ | _ | | ||
| - | | 3 | ( | _ | ( | $( | $( | _ | _ | 0 | 4 | PUNC | PUNC | _ | _ | | ||
| - | | 4 | Zusammenfassung | Zusammenfassung | Zusammenfassung | NN | NN | Nom< | ||
| - | | 5 | ) | _ | ) | $( | $( | _ | _ | 0 | 1 | PUNC | PUNC | _ | _ | | ||
| - | |||
| - | The first sentence of the CoNLL 2009 test data: | ||
| - | |||
| - | | 1 | Gegen | gegen | gegen | APPR | APPR | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 2 | eine | ein | ein | ART | ART | Acc< | ||
| - | | 3 | Erweiterung | Erweiterung | Erweiterung | NN | NN | Acc< | ||
| - | | 4 | ihrer | ihr | ihr | PPOSAT | PPOSAT | Gen< | ||
| - | | 5 | Organisation | Organisation | Organisation | NN | NN | Gen< | ||
| - | | 6 | zu | zu | zu | APPR | APPR | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 7 | einem | ein | ein | ART | ART | Dat< | ||
| - | | 8 | sicherheitspolitischen | sicherheitspolitisch | sicherheitspolitisch | ADJA | ADJA | Pos< | ||
| - | | 9 | Forum | Forum | Forum | NN | NN | Dat< | ||
| - | | 10 | sprachen | sprechen | sprechen | VVFIN | VVFIN | 3< | ||
| - | | 11 | sich | sich | er< | ||
| - | | 12 | die | der | d | ART | ART | Nom< | ||
| - | | 13 | meisten | meister | meist | PIAT | PIAT | Nom< | ||
| - | | 14 | Staaten | Staat | Staat | NN | NN | Nom< | ||
| - | | 15 | beim | bei | beim | APPRART | APPRART | Dat< | ||
| - | | 16 | Gipfeltreffen | Gipfeltreffen | Gipfeltreffen | NN | NN | Dat< | ||
| - | | 17 | für | für | für | APPR | APPR | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 18 | Asiatisch-Pazifische | asiatisch-pazifisch | Asiatisch-Pazifische | ADJA | NN | Pos< | ||
| - | | 19 | Wirtschaftskooperation | Wirtschaftskooperation | Wirtschaftskooperation | NN | NN | Acc< | ||
| - | | 20 | ( | _ | ( | $( | $( | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 21 | Apec | Apec | _ | NE | NE | Nom< | ||
| - | | 22 | ) | _ | ) | $( | $( | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 23 | in | in | in | APPR | APPR | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 24 | Osaka | Osaka | Osaka | NE | NE | Dat< | ||
| - | | 25 | aus | aus | aus | PTKVZ | PTKVZ | _ | _ | _ | _ | _ | _ | _ | | ||
| - | | 26 | . | _ | . | $. | $. | _ | _ | _ | _ | _ | _ | _ | | ||
| ==== Parsing ==== | ==== Parsing ==== | ||
| - | TIGER is a mildly nonprojective treebank. 15875 of the 680, | + | Nonprojectivities in EKP are very rare. Only 7 out of the 9491 tokens are attached nonprojectively (0.074%). |
| - | + | ||
| - | The results of the CoNLL 2006 shared task are [[http:// | + | |
| - | + | ||
| - | ^ Parser (Authors) ^ LAS ^ UAS ^ | + | |
| - | | MST (McDonald et al.) | 87.34 | 90.38 | | + | |
| - | | Riedel et al. | 86.24 | 89.76 | | + | |
| - | | Basis (O' | + | |
| - | | Malt (Nivre et al.) | 85.82 | 88.76 | | + | |
| - | + | ||
| - | The results of the CoNLL 2009 shared task are [[http:// | + | |
| - | ^ Parser (Authors) ^ LAS ^ | + | There is a constraint grammar parser for Estonian by Kaili Müürisep. I am not aware of any published evaluation of parsing accuracy. However, I am not sure that the treebank described here is not just output of the parser. |
| - | | Bohnet | 87.48 | | + | |
| - | | Merlo | 87.29 | | + | |
| - | | Chen | 86.24 | | + | |
| - | | Che | 86.19 | | + | |