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Table of Contents
Dutch (nl)
Versions
- The Alpino Treebank 1.0 (2002) in an XML-based format
- CoNLL 2006
- Lassy (2007 and later) builds upon Alpino, is much larger but not under the same license
Obtaining and License
Alpino is available under the GNU General Public License. Download the original distribution (DTAG + TIGER-XML formats) from http://odur.let.rug.nl/~vannoord/ftp/AlpinoCDROM/. Download the CoNLL 2006 conversion from http://ilk.uvt.nl/conll/free_data.html. The license in short:
- any usage, commercial or not
- modification and redistribution under same license permitted
- citation in publications not required (but it is common decency)
Alpino was created by members of the Alfa-informatica, Faculty of Arts (Faculteit der Letteren), University of Groningen (Rijksuniversiteit Groningen), Oude Kijk in 't Jatstraat 26, NL-9712 EK Groningen, The Netherlands.
References
- Website
- http://ilk.uvt.nl/conll/free_data.html (CoNLL 2006)
- Data
- no separate citation
- Principal publications
- Robert Malouf, Gertjan van Noord: Wide Coverage Parsing with Stochastic Attribute Value Grammars. In: Proceedings of Beyond Shallow Analyses – Formalisms and Statistical Modeling for Deep Analyses Workshop, IJCNLP, Sanya, Hainan, China, 2004.
- Leonoor van der Beek, Gosse Bouma, Jan Daciuk, Tanja Gaustad, Robert Malouf, Gertjan van Noord, Robbert Prins, Begoña Villada: Algorithms for Linguistic Processing NWO PIONIER Progress Report. Groningen, Netherlands, 2002.
- Documentation
Domain
full cdbl (newspaper) part of the Eindhoven corpus
Unknown (the underlying PAROLE corpus “consists of quotations of 150-250 words from a wide range of randomly selected linguistically representative Danish texts from 1983-1992.”)
Size
The CoNLL 2006 version contains 100,238 tokens in 5512 sentences, yielding 18.19 tokens per sentence on average (CoNLL 2006 data split: 94386 tokens / 5190 sentences training, 5852 tokens / 322 sentences test).
Inside
CoNLL Alpino: The orginal POS tags from the Alpino Treebank were replaced by POS
tags from the Memory-based part-of-speech tagger using the WOTAN tagset, which is described in the file tagset.txt
The syntactic annotation is mostly identical to that of the Corpus
Gesproken Nederlands (CGN, Spoken Dutch Corpus) as described in the file syn_prot.pdf (Dutch only). An attempt to describe a number of differences between the CGN and Alpino annotation practice is given in the file diff.pdf (which is heavily out of date, but the number of differences has been reduced heavily recently.)
3.6 Conversion
Issues: - head selection - multi-word units - discourse units
The original morphosyntactic tags have been converted to fit into the three columns (CPOS, POS and FEAT) of the CoNLL format. There should be a 1-1 mapping between the DDT positional tags and the CoNLL 2006 annotation. Use DZ Interset to inspect the CoNLL tagset.
The morphological analysis in the CoNLL 2006 version does not include lemmas (the original DTAG version does contain them). The morphosyntactic tags have been assigned (probably) manually.
Some multi-word expressions have been collapsed into one token, using underscore as the joining character. This includes adverbially used prepositional phrases (e.g. i_lørdags = on Saturdays) but not named entities.
Sample
The first sentence of DDT 1.0 in the DTAG format:
<tei.2> <teiHeader type=text> <fileDesc> <titleStmt> <title>Tagged sample of: 'Jeltsins skæbnetime'</title> </titleStmt> <extent words=158>158 running words</extent> <publicationStmt> <distributor>PAROLE-DK</distributor> <address><addrline>Christians Brygge 1,1., DK-1219 Copenhagen K.</address> <date>1998-06-02</date> <availability status=restricted><p>by agreement with distributor</availability> </publicationStmt> <sourceDesc> <biblStruct> <analytic> <title>Jeltsins skæbnetime</title> <author gender=m born=1925>Nikulin, Leon</author> </analytic> <monogr> <imprint><pubPlace>Denmark</pubPlace> <publisher>Det Fri Aktuelt</publisher> <date>1992-12-01</date> </imprint> </monogr> </biblStruct> </sourceDesc> </fileDesc> <profileDesc> <creation>1992-12-01</creation> <langUsage><language>Danish</langUsage> <textClass> <catRef target="P.M2"> <catRef target="P.G4.8"> <catRef target="P.T9.3"> </textClass> </profileDesc> </teiHeader> <text id=AJK> <body> <div1 type=main> <p> <s> <W lemma="to" msd="AC---U=--" in="9:subj" out="1:mod|2:mod|3:nobj|5:appr">To</W> <W lemma="kendt" msd="ANP[CN]PU=[DI]U" in="-1:mod" out="">kendte</W> <W lemma="russisk" msd="ANP[CN]PU=[DI]U" in="-2:mod" out="">russiske</W> <W lemma="historiker" msd="NCCPU==I" in="-3:nobj" out="">historikere</W> <W lemma="Andronik" msd="NP--U==-" in="1:namef" out="">Andronik</W> <W lemma="Mirganjan" msd="NP--U==-" in="-5:appr" out="-1:namef|1:coord">Mirganjan</W> <W lemma="og" msd="CC" in="-1:coord" out="2:conj">og</W> <W lemma="Igor" msd="NP--U==-" in="1:namef" out="">Igor</W> <W lemma="Klamkin" msd="NP--U==-" in="-2:conj" out="-1:namef">Klamkin</W> <W lemma="tro" msd="VADR=----A-" in="" out="-9:subj|1:mod|2:pnct|3:dobj|12:pnct">tror</W> <W lemma="ikke" msd="RGU" in="-1:mod" out="">ikke</W> <W lemma="," msd="XP" in="-2:pnct" out="">,</W> <W lemma="at" msd="CS" in="-3:dobj" out="2:vobj">at</W> <W lemma="Rusland" msd="NP--U==-" in="1:subj|2:[subj]" out="">Rusland</W> <W lemma="kunne" msd="VADR=----A-" in="-2:vobj" out="-1:subj|1:vobj|2:mod">kan</W> <W lemma="udvikle" msd="VAF-=----P-" in="-1:vobj" out="-2:[subj]">udvikles</W> <W lemma="uden" msd="SP" in="-2:mod" out="1:nobj">uden</W> <W lemma="en" msd="PI-CSU--U" in="-1:nobj" out="2:nobj">en</W> <W lemma=""" msd="XP" in="1:pnct" out="">"</W> <W lemma="jernnæve" msd="NCCSU==I" in="-2:nobj" out="-1:pnct|1:pnct">jernnæve</W> <W lemma=""" msd="XP" in="-1:pnct" out="">"</W> <W lemma="." msd="XP" in="-12:pnct" out="">.</W> </s>
The first sentence of the CoNLL 2006 training data:
1 | Samme | _ | A | AN | degree=pos|gender=common/neuter|number=sing/plur|case=unmarked|def=def/indef|transcat=unmarked | 0 | ROOT | _ | _ |
2 | cifre | _ | N | NC | gender=neuter|number=plur|case=unmarked|def=indef | 1 | nobj | _ | _ |
3 | , | _ | X | XP | _ | 1 | pnct | _ | _ |
4 | de | _ | P | PD | gender=common/neuter|number=plur|case=unmarked|register=unmarked | 7 | subj | _ | _ |
5 | norske | _ | A | AN | degree=pos|gender=common/neuter|number=plur|case=unmarked|def=def/indef|transcat=unmarked | 4 | mod | _ | _ |
6 | piger | _ | N | NC | gender=common|number=plur|case=unmarked|def=indef | 4 | nobj | _ | _ |
7 | tabte | _ | V | VA | mood=indic|tense=past|voice=active | 1 | rel | _ | _ |
8 | med | _ | SP | SP | _ | 7 | pobj | _ | _ |
9 | i_lørdags | _ | RG | RG | degree=unmarked | 7 | mod | _ | _ |
10 | mod | _ | SP | SP | _ | 7 | pobj | _ | _ |
11 | VMs | _ | N | NP | case=gen | 10 | nobj | _ | _ |
12 | værtsnation | _ | N | NC | gender=common|number=sing|case=unmarked|def=indef | 11 | possd | _ | _ |
13 | . | _ | X | XP | _ | 1 | pnct | _ | _ |
The first sentence of the CoNLL 2006 test data:
1 | To | _ | A | AC | case=unmarked | 10 | subj | _ | _ |
2 | kendte | _ | A | AN | degree=pos|gender=common/neuter|number=plur|case=unmarked|def=def/indef|transcat=unmarked | 1 | mod | _ | _ |
3 | russiske | _ | A | AN | degree=pos|gender=common/neuter|number=plur|case=unmarked|def=def/indef|transcat=unmarked | 1 | mod | _ | _ |
4 | historikere | _ | N | NC | gender=common|number=plur|case=unmarked|def=indef | 1 | nobj | _ | _ |
5 | Andronik | _ | N | NP | case=unmarked | 6 | namef | _ | _ |
6 | Mirganjan | _ | N | NP | case=unmarked | 1 | appr | _ | _ |
7 | og | _ | C | CC | _ | 6 | coord | _ | _ |
8 | Igor | _ | N | NP | case=unmarked | 9 | namef | _ | _ |
9 | Klamkin | _ | N | NP | case=unmarked | 7 | conj | _ | _ |
10 | tror | _ | V | VA | mood=indic|tense=present|voice=active | 0 | ROOT | _ | _ |
11 | ikke | _ | RG | RG | degree=unmarked | 10 | mod | _ | _ |
12 | , | _ | X | XP | _ | 10 | pnct | _ | _ |
13 | at | _ | C | CS | _ | 10 | dobj | _ | _ |
14 | Rusland | _ | N | NP | case=unmarked | 15 | subj | _ | _ |
15 | kan | _ | V | VA | mood=indic|tense=present|voice=active | 13 | vobj | _ | _ |
16 | udvikles | _ | V | VA | mood=infin|voice=passive | 15 | vobj | _ | _ |
17 | uden | _ | SP | SP | _ | 15 | mod | _ | _ |
18 | en | _ | P | PI | gender=common|number=sing|case=unmarked|register=unmarked | 17 | nobj | _ | _ |
19 | “ | _ | X | XP | _ | 20 | pnct | _ | _ |
20 | jernnæve | _ | N | NC | gender=common|number=sing|case=unmarked|def=indef | 18 | nobj | _ | _ |
21 | ” | _ | X | XP | _ | 20 | pnct | _ | _ |
22 | . | _ | X | XP | _ | 10 | pnct | _ | _ |
Parsing
Nonprojectivities in DDT are not frequent. Only 988 of the 100,238 tokens in the CoNLL 2006 version are attached nonprojectively (0.99%).
The results of the CoNLL 2006 shared task are available online. They have been published in (Buchholz and Marsi, 2006). The evaluation procedure was non-standard because it excluded punctuation tokens. These are the best results for Danish:
Parser (Authors) | LAS | UAS |
---|---|---|
MST (McDonald et al.) | 84.79 | 90.58 |
Malt (Nivre et al.) | 84.77 | 89.80 |
Riedel et al. | 83.63 | 89.66 |