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user:zeman:treebanks [2011/11/03 09:34] zeman Documentation of morphology and syntax. |
user:zeman:treebanks [2014/07/17 17:43] (current) zeman Croatian. |
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====== Treebanks for Various Languages ====== | ====== Treebanks for Various Languages ====== | ||
- | ===== Arabic (ar) ===== | + | http:// |
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- | ==== Versions | + | ===== To Process ===== |
- | * Original PADT 1.0 as distributed by the LDC | + | Ahoj, |
- | * CoNLL 2006 | + | stáhl jsem nový španělský závislostní korpus IULA (větší než AnCora) |
- | * CoNLL 2007 | + | / |
- | The CoNLL 2007 version reportedly improves over CoNLL 2006 in quality of morphological annotation. Both CoNLL versions miss important parts of the original PADT annotation | + | License: |
+ | Web: http:// | ||
+ | Doc: http:// | ||
+ | Download: http:// | ||
+ | Parsing: | ||
+ | state-of-the-art LAS score is 94.7 using Mate-C | ||
+ | sentences | ||
+ | tokens | ||
- | ==== Obtaining | + | The sentences have been choosed from the IULA LSP corpus, automatically annotated with POS information |
- | The original PADT 1.0 is distributed by the LDC under the catalogue number [[http:// | + | Martin |
- | + | ||
- | * non-commercial research usage | + | |
- | * no redistribution | + | |
- | * cite [[http:// | + | |
- | + | ||
- | The CoNLL 2006 and 2007 versions are obtainable upon request under similar license terms. Their publication in the LDC together with the other CoNLL treebanks is being prepared. | + | |
- | + | ||
- | PADT was created by members of the [[http:// | + | |
- | + | ||
- | ==== Domain ==== | + | |
- | + | ||
- | Newswire text from press agencies (Agence France Presse, Ummah, Al Hayat, An Nahar, Xinhua 2001-2003). | + | |
- | + | ||
- | ==== Size ==== | + | |
- | + | ||
- | According to their website, the original PADT 1.0 contains 113,500 tokens annotated analytically. The CoNLL 2006 version contains 59752 tokens in 1606 sentences, yielding 37.21 tokens per sentence on average (CoNLL 2006 data split: 54379 tokens / 1460 sentences training, 5373 tokens / 146 sentences test). The CoNLL 2007 version contains 116,793 tokens in 3043 sentences, yielding 38.38 tokens per sentence on average (CoNLL 2007 data split: 111,669 tokens / 2912 sentences training, 5124 tokens / 131 sentences test). | + | |
- | + | ||
- | ==== References ==== | + | |
- | + | ||
- | * Website | + | |
- | * http:// | + | |
- | * Data | + | |
- | * Jan Hajič, Otakar Smrž, Petr Zemánek, Petr Pajas, Jan Šnaidauf, Emanuel Beška, Jakub Kráčmar, Kamila Hassanová: //Prague Arabic Dependency Treebank 1.0// (LDC2004T23). Linguistic Data Consortium, Philadelphia, | + | |
- | * Principal publications | + | |
- | * Jan Hajič, Otakar Smrž, Petr Zemánek, Jan Šnaidauf, Emanuel Beška: [[http:// | + | |
- | + | ||
- | ==== Inside ==== | + | |
- | + | ||
- | The original PADT 1.0 is distributed in the [[: | + | |
- | + | ||
- | Word forms and lemmas are vocalized, i.e. they contain diacritics for short vowels as well as consonant gemination and a few other things. The CoNLL 2006 version includes [[http:// | + | |
- | + | ||
- | Note that tokenization of Arabic typically includes splitting original words (inserting spaces between letters), not just separating punctuation from words. Example: وبالفالوجة = wabiālfālūjah = wa/CONJ + bi/PREP + AlfAlwjp/ | + | |
- | + | ||
- | The original PADT 1.0 uses 10-character positional morphological tags whose documentation is hard to find. The CoNLL 2006 version converts the tags to the three CoNLL columns, CPOS, POS and FEAT, most of the information being encoded as pipe-separated attribute-value assignments in FEAT. There //should// be a 1-1 mapping between the PADT positional tags and the CoNLL 2006 annotation. The CoNLL 2007 version uses a tag conversion different from CoNLL 2006. Both CoNLL distributions contain a README file with a brief description of the parts of speech and features. Use [[http:// | + | |
- | + | ||
- | The guidelines for syntactic annotation are documented in the [[http:// | + | |
- | + | ||
- | ==== Sample ==== | + | |
- | + | ||
- | The first two sentences of the CoNLL 2006 training data: | + | |
- | + | ||
- | | 1 | غِيابُ_giyAbu | غِياب_giyAb | N | N | case=1< | + | |
- | | 2 | فُؤاد_fu& | + | |
- | | 3 | كَنْعان_kanoEAn | كَنْعان_kanoEAn | Z | Z | _ | 1 | Atr | _ | _ | | + | |
- | | |||||||||| | + | |
- | | 1 | فُؤاد_fu& | + | |
- | | 2 | كَنْعان_kanoEAn | كَنْعان_kanoEAn | Z | Z | _ | 9 | Sb | _ | _ | | + | |
- | | 3 | ،_, | ،_, | G | G | _ | 2 | AuxG | _ | _ | | + | |
- | | 4 | رائِد_rA}id | رائِد_rA}id | N | N | _ | 2 | Atr | _ | _ | | + | |
- | | 5 | القِصَّة_AlqiS~ap | قِصَّة_qiS~ap | N | N | gen=F< | + | |
- | | 6 | القَصِيرَةِ_AlqaSiyrapi | قَصِير_qaSiyr | A | A | gen=F< | + | |
- | | 7 | فِي_fiy | فِي_fiy | P | P | _ | 4 | AuxP | _ | _ | | + | |
- | | 8 | لُبْنانِ_lubonAni | لُبْنان_lubonAn | Z | Z | case=2< | + | |
- | | 9 | رَحَلَ_raHala | رَحَل-َ_raHal-a | V | VP | pers=3< | + | |
- | | 10 | مَساءَ_masA' | + | |
- | | 11 | أَمْسِ_> | + | |
- | | 12 | عَن_Ean | عَن_Ean | P | P | _ | 9 | AuxP | _ | _ | | + | |
- | | 13 | 81_81 | 81_81 | Q | Q | _ | 12 | Adv | _ | _ | | + | |
- | | 14 | عاماً_EAmAF | عام_EAm | N | N | gen=M< | + | |
- | | 15 | ._. | ._. | G | G | _ | 0 | AuxK | _ | _ | | + | |
- | + | ||
- | The first sentence of the CoNLL 2006 test data: | + | |
- | + | ||
- | | 1 | اِتِّفاقٌ_Ait~ifAqN | اِتِّفاق_Ait~ifAq | N | N | case=1< | + | |
- | | 2 | بَيْنَ_bayona | بَيْنَ_bayona | P | P | _ | 1 | AuxP | _ | _ | | + | |
- | | 3 | لُبْنانِ_lubonAni | لُبْنان_lubonAn | Z | Z | case=2< | + | |
- | | 4 | وَ_wa | وَ_wa | C | C | _ | 2 | Coord | _ | _ | | + | |
- | | 5 | سُورِيَّةٍ_suwriy~apK | سُورِيا_suwriyA | Z | Z | gen=F< | + | |
- | | 6 | عَلَى_EalaY | عَلَى_EalaY | P | P | _ | 1 | AuxP | _ | _ | | + | |
- | | 7 | رَفْعِ_rafoEi | رَفْع_rafoE | N | N | case=2< | + | |
- | | 8 | مُسْتَوَى_musotawaY | مُسْتَوَى_musotawaY | N | N | _ | 7 | Atr | _ | _ | | + | |
- | | 9 | التَبادُلِ_AltabAduli | تَبادُل_tabAdul | N | N | case=2< | + | |
- | | 10 | التِجارِيِّ_AltijAriy~i | تِجارِيّ_tijAriy~ | A | A | case=2< | + | |
- | | 11 | إِلَى_< | + | |
- | | 12 | 500_500 | 500_500 | Q | Q | _ | 11 | Atr | _ | _ | | + | |
- | | 13 | مِلْيُونِ_miloyuwni | مِلْيُون_miloyuwn | N | N | case=2< | + | |
- | | 14 | دُولارٍ_duwlArK | دُولار_duwlAr | N | N | case=2< | + | |
- | + | ||
- | The first sentence of the CoNLL 2007 training data: | + | |
- | + | ||
- | | 1 | تَعْدادُ | تَعْداد_1 | N | N- | Case=1< | + | |
- | | 2 | سُكّانِ | ساكِن_1 | N | N- | Case=2< | + | |
- | | 3 | 22 | [DEFAULT] | Q | Q- | _ | 2 | Atr | _ | _ | | + | |
- | | 4 | دَوْلَةً | دَوْلَة_1 | N | N- | Gender=F< | + | |
- | | 5 | عَرَبِيَّةً | عَرَبِيّ_1 | A | A- | Gender=F< | + | |
- | | 6 | سَ | سَ_FUT | F | F- | _ | 7 | AuxM | _ | _ | | + | |
- | | 7 | يَرْتَفِعُ | اِرْتَفَع_1 | V | VI | Mood=I< | + | |
- | | 8 | إِلَى | إِلَى_1 | P | P- | _ | 7 | AuxP | _ | _ | | + | |
- | | 9 | 654 | [DEFAULT] | Q | Q- | _ | 8 | Adv | _ | _ | | + | |
- | | 10 | مِلْيُونَ | مِلْيُون_1 | N | N- | Case=4< | + | |
- | | 11 | نَسَمَةٍ | نَسَمَة_1 | N | N- | Gender=F< | + | |
- | | 12 | فِي | فِي_1 | P | P- | _ | 7 | AuxP | _ | _ | | + | |
- | | 13 | مُنْتَصَفِ | مُنْتَصَف_1 | N | N- | Case=2< | + | |
- | | 14 | القَرْنِ | قَرْن_1 | N | N- | Case=2< | + | |
- | + | ||
- | The first sentence of the CoNLL 2007 test data: | + | |
- | + | ||
- | | 1 | مُقاوَمَةُ | مُقاوَمَة_1 | N | N- | Gender=F< | + | |
- | | 2 | زَواجِ | زَواج_1 | N | N- | Case=2< | + | |
- | | 3 | الطُلّابِ | طالِب_1 | N | N- | Case=2< | + | |
- | | 4 | العُرْفِيِّ | عُرْفِيّ_1 | A | A- | Case=2< | + | |
- | + | ||
- | ==== TO DO ==== | + | |
- | + | ||
- | * Statistics of nonprojectivity | + | |
- | * Known published parsing accuracies, especially CoNLL 2006 and 2007 | + |