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user:zeman:interset:drivers [2008/03/26 08:56]
zeman cs::conll finished.
user:zeman:interset:drivers [2014/07/17 16:32] (current)
zeman hr::multext
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 ====== Tag Set Drivers ====== ====== Tag Set Drivers ======
  
-This is an overview of existing tag set drivers. Tag-set or language specific issues are described here.+This is an overview of existing tag set drivers. Tag-set or language specific issues are described here. I also try to keep track of the work time needed for particular drivers because the original motivation behind DZ Interset was to save time and effort. 
 + 
 +===== Arabic (ar) ===== 
 + 
 +==== CoNLL 2006 ==== 
 + 
 +The Arabic CoNLL tags are derived from the tags of the Prague Arabic Dependency Treebank. 
 + 
 +Created in 2006-2007. 
 +Total work time: 13 hours 
 + 
 +==== CoNLL 2007 ==== 
 + 
 +The Arabic tags in CoNLL 2007 slightly differed from 2006. There are also new tags. The driver ''ar::conll2007'' was cloned from ''ar::conll'' and modified. 
 + 
 +Created: 23.6.2011 
 +Total work time: 2 hours 
 + 
 +===== Bulgarian (bg) ===== 
 + 
 +The Bulgarian CoNLL tags are derived from the tags of BulTreeBank. Speciality: sophisticated system of pronouns includes interrogative adverbs and numerals. 
 + 
 +Created in 2007. 
 +Total work time: 35 hours 
 + 
 +The main reasons why the implementation took so long: 
 +  * Necessity to re-work the system of main word classes, especially pronouns. 
 +  * Necessity to separate morphological and lexical definiteness (there are indefinite pronouns morphologically definite, and vice versa). 
 +  * Necessity to separate morphological and lexical aspect (aorist vs. imperfect tense; there are perfective verbs that can occur in imperfect tense). 
 +  * Driver tester required that encode(decode(x))=x. However, the CoNLL incarnation of the tags was inconsistent, in the order and form in which it presented features.
  
 ===== Chinese (zh) ===== ===== Chinese (zh) =====
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 Most of the time was dedicated to extracting, transcribing and translating examples in an effort to understand the tag classes. Most of the time was dedicated to extracting, transcribing and translating examples in an effort to understand the tag classes.
 +
 +===== Croatian (hr) =====
 +
 +==== Multext ====
 +
 +The tagset of the MULTEXT-EAST project as used in the SETimes.HR corpus. Documentation lists 1291 tags, we removed one wrong tag and kept 1290.
 +
 +Work started: 16.7.2014
 +Work finished: 17.7.2014
 +Total work time: 5:45 h
 +
 +This is the second Multext-East tagset covered by DZ Interset. Adding it was not too difficult because much of the previous effort on ''cs::multext'' could be reused.
  
 ===== Czech (cs) ===== ===== Czech (cs) =====
Line 27: Line 68:
 České značky PDT (přes 4000 značek; jádro Intersetu vzniklo jako vedlejší produkt, když jsem dělal tohle) asi 2 dny, tedy dejme tomu 18 hodin. Dalších 11:09 hodin jsem spotřeboval, když jsem začal ovladače testovat a musel jsem tenhle opravovat. Opět platí, že část času zabralo ladění testovacího skriptu, který v té době teprve vznikal. České značky PDT (přes 4000 značek; jádro Intersetu vzniklo jako vedlejší produkt, když jsem dělal tohle) asi 2 dny, tedy dejme tomu 18 hodin. Dalších 11:09 hodin jsem spotřeboval, když jsem začal ovladače testovat a musel jsem tenhle opravovat. Opět platí, že část času zabralo ladění testovacího skriptu, který v té době teprve vznikal.
  
- +==== CoNLL 2006 ====
- +
-==== CoNLL (derived from PDT) ====+
  
 The CoNLL 2006 and 2007 Czech treebanks are data from PDT converted to the CoNLL format. The PDT morphological tags have been decomposed into coarse-grained part of speech, detailed part of speech, and a set of feature values. All PDT tags have unique equivalents in CoNLL. However, the mapping to the original PDT tags is not one-to-one. Some information, encoded in lemmas in the PDT, has been encoded as a new feature called ''Sem'' in CoNLL data. README refers the following documentation: [[http://ufal.mff.cuni.cz/pdt/Corpora/PDT_1.0/References/mman.html#pos-tag|part of speech and most features]] | [[http://ufal.mff.cuni.cz/pdt/Corpora/PDT_1.0/References/mman.html#sem-info|lemma features]] The CoNLL 2006 and 2007 Czech treebanks are data from PDT converted to the CoNLL format. The PDT morphological tags have been decomposed into coarse-grained part of speech, detailed part of speech, and a set of feature values. All PDT tags have unique equivalents in CoNLL. However, the mapping to the original PDT tags is not one-to-one. Some information, encoded in lemmas in the PDT, has been encoded as a new feature called ''Sem'' in CoNLL data. README refers the following documentation: [[http://ufal.mff.cuni.cz/pdt/Corpora/PDT_1.0/References/mman.html#pos-tag|part of speech and most features]] | [[http://ufal.mff.cuni.cz/pdt/Corpora/PDT_1.0/References/mman.html#sem-info|lemma features]]
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 More than half of the time was consumed during testing for tuning tags containing the Sem feature. More than half of the time was consumed during testing for tuning tags containing the Sem feature.
  
-===== Time needed for tag set conversion =====+==== CoNLL 2009 ====
  
-Poznamenávám sikolik času mi zabral který ovladačabych to mohl publikovatSrovnání potřebného času s časem potřebným na obyčejný převod je zajímavéi když vímže ve skutečnosti ušetřím až při opakovaném využití ovladače.+The [[:format-conll|CoNLL data format]] has changed. Formerly (2006 and 2007) there were three relevant columns (coarse-grained part of speechfine-grained part of speechand features) that we combined (using tabs) into one tag stringAs of 2009there are only two columns leftnamely part of speech and features. For the Czech tags this further means that there is new feature in the 'features' column. It is called ''SubPOS'', it is present in all tags and its value is one character, copied from the second position of the standard PDT tag. Otherwise, the tags should be identical to those of CoNLL 2007, including the ''Sem'' feature.
  
-Ruský treebank (nejen značky, ale vůbec převod formátu): +The ''Sem'' feature can have more values than previously. This is caused by the extension of the [[http://ufal.mff.cuni.cz/~zeman/publikace/2005-01/mmanual.html#lemma-term|term value set]] in the Prague Dependency Treebank 2.0 (in contrast to 1.0), so the change actually applied already to CoNLL 2007 data. However, CoNLL 2007 uses the older ''cs::conll'' driver.
-12:36+
  
-Arabské značky (Otovy i Buckwalterovy, ještě bez Intersetu, 22.3.2006)+Work started: 24.3.2009 
-4:45+1+1:40 = 7:25+Work finished24.3.2009 
 +Total work time: 1:10 h
  
-Dánské značky DDT/Parole (144 značek s košatým popisem) +==== Multext ====
-asi 7 hodin+
  
-Švédské značky Mamba (48 značek) +The tagset of the MULTEXT-EAST project and corpora. The file ''mte-lex/wfl-cs.tbl'' contains 1428 unique tags (which is not to say that other tags are not possible). The corpora are stored in a TEI-compliant SGML format. It is easily readable except that non-ASCII characters are encoded using SGML entities.
-asi 3 hodiny+
  
-Penn Treebank (36 značek) +Work started: 16.2.2009 
-asi 3 hodiny, ale tady jsem to ještě neměřil, takže to je jen hrubý zpětný odhad+Work finished: 18.2.2009 
 +Total work time: 16:36 h
  
-Hajičovy švédské značky +Czech tagsets are notoriously complex. This one maps quite nicely to DZ Interset features. However, the few distinctions that are not (yet) represented in DZ Interset made debugging difficult. Clitic_s and generic numerals represented using the ''other'' feature led to wrong feature-value combinations in conversions to/from other Czech sets. DZ Interset had to be slightly modified in response to this tagset, and more changes that initiated here will be done later.
-0:32 tady zjevně chybí úplná statistika+
  
-Arabské značky CoNLL +==== Prague Spoken Corpus ====
-4:33+5:19+3:16 13:08+
  
-Bulharské značky CoNLL +The Prague Spoken Corpus (Pražský mluvený korpusPMKis distributed together with the frequency dictionary of spoken Czech (book). It uses very strange tags and very many of them (over 10000!) Extremely high portion of the tags has to rely on the ''other'' feature. There are two types of tags: long and short.
-0:20+1:00+0:26+5:44+2:00+6:15+1:20+0:46+1:26+2:30+0:48+12:44 = 35:19 +
-(ale u bulharštiny jsem se dost natrápil s jevykteré do té doby nebyly v intersetu podchycené)+
  
-Anglické značky CoNLL +Work started: 26.11.2009 
-0:48 - možná tady chybí statistika, ale možná taky ne, protože stačilo upravit existující ovladač Penn Treebanku, ne?+Work finished: 4.10.2010 
 +Total work time57 hours
  
-Žádné z výše uvedených převodů (tedy všnapsané ed říjnem 2007) ještě neměly k dispozici chytré funkce pro nahrazování nepovolených hodnot.+===== Danish (da) ===== 
 + 
 +Tags of the Danish Dependency Treebank converted to CoNLL format. 144 tags with complex documentation in Danish. 
 + 
 +Total work time: about 7 hours 
 + 
 +===== English (en) ===== 
 + 
 +==== Penn Treebank Tagset ==== 
 + 
 +Penn Treebank (45 atomic tags). Detailed classification of punctuation. 
 + 
 +Total work time: about 3 hours 
 + 
 +==== CoNLL 2006 ==== 
 + 
 +The driver is just an envelope around the ''en::penn'' driver. 
 + 
 +Total work time: 48 minutes 
 + 
 +==== CoNLL 2009 ==== 
 + 
 +Another envelope around the ''en::penn'' driver. However, three new tags required changes even in the older drivers: ''HYPH'', ''AFX'' (''PRF'') and ''NIL''
 + 
 +Work started: 25.3.2009 
 +Work finished: 25.3.2009 
 +Total work time: 2:57 h 
 + 
 +===== German (de) ===== 
 + 
 +==== Stuttgart-Tübingen Tagset (STTS) ==== 
 + 
 +This is the tagset used in the Tiger treebank. It is quite syntax-oriented, often the same word can be tagged in couple different ways according to its function in a particular sentence. Pronouns are systematically categorized as substitutive (occur instead of an NP), attributive (occur inside an NP) and adverbial. 
 + 
 +The tags omit inflectional information (number and case of pronouns and articles, degree of comparison of adjectives, tense (Präteritum, Konjunktiv), person and number of verbs). 
 + 
 +Work started: 29.3.2008 
 +Work finished: 29.3.2008 
 +Total work time: 4:00 h 
 + 
 +==== CoNLL 2006 ==== 
 + 
 +Only simple envelope around the STTS driver needed. 
 + 
 +Work started: 31.3.2008 
 +Work finished: 31.3.2008 
 +Total work time: 10 min 
 + 
 + 
 +==== CoNLL 2009 ==== 
 + 
 +This tagset is derived from the STTS, too. Unlike CoNLL 2006, there are also morphological features this time, which required additional processing effort. 
 + 
 +Work started: 5.4.2009 
 +Work finished: 6.4.2009 
 +Total work time: 9:39 h 
 + 
 +===== Polish (pl) ===== 
 + 
 +Based on the [[http://korpus.pl/index.php|Korpus Języka Polskiego IPI PAN]]. (Saša tyhle značky potřebuje zpracovat v Intercorpu.) Moderate amount of new stuff but it is one of the fairly complex Slavic tagsets. And it contributed to [[how-to-write-a-driver#replacing-and-the-other-feature|new treatment of o-tags]] (those setting the ''other'' feature) when learning permitted feature-value combinations. 
 + 
 +Work started: 4.9.2009 
 +Work finished: 8.9.2009 
 +Total work time: 9:54 h 
 + 
 +===== Portuguese (pt) ===== 
 + 
 +The Portuguese CoNLL treebank contains tags with 149 different features. Big part of them are noise, probably introduced by the conversion procedure from the original Floresta format to the CoNLL format. The driver is designed so that it accepts all incorrect tags on decoding but encodes only corrected tags. Incorrect tags are not on the list of possible tags so the driver tester will not complain. 
 + 
 +http://visl.sdu.dk/visl/pt/info/symbolset-floresta.html 
 +http://en.wikipedia.org/wiki/Portuguese_grammar 
 + 
 +Work started: 2.4.2008 
 +Work finished: 24.4.2008 
 +Total work time: 28:18 h 
 + 
 +The CoNLL version of the Floresta tagset was a real pain. Not only is the tagset complex with many features, some of them strangely overlapping, some of them undocumented. There was also a terrible proportion of noise, typos or otherwise introduced errors in annotation. 
 + 
 +| **Feature** | **Explanation** | **Examples** | 
 +| _ | no features | prepositions, punctuation etc. | 
 +| 1/3S | 1st person or 3rd person singular | leia, disse, seria, prefira | 
 +| 1S | 1st person singular | tenho, tinha, usei, vivo, vou | 
 +| 1P | 1st person plural | tomámos, vamos, vemos, víamos | 
 +| 2S | 2nd person singular | compreendeste, queres, te, ti, veja, vives | 
 +| 2P | 2nd person plural | chamais, vós | 
 +| 3S | 3rd person singular | viu, viva | 
 +| 3S/P | 3rd person singular or plural | se, si | 
 +| 3P | 3rd person plural | vivem | 
 +| ACC | pronoun as direct accusative object | se, te, vos | 
 +| ACC/DAT | pronouns in accusative or dative | nos, se | 
 +| COND | verb in conditional mood | precisariam, seriam, tentaria, venderia, viriam | 
 +| DAT | pronoun as dative object | lhe, lhes, me, no, nos, se, vos | 
 +| F | feminine | | 
 +| F/M | feminine or masculine | | 
 +| FUT | future tense of verbs | tenderão, tomará, usará | 
 +| IMP | imperative mood of verbs | chega, move, olha, sê | 
 +| IMPF | imperfect tense of verbs | abandonasse, abandonava, abria | 
 +| IND | indicative mood of verbs | abafaram, abandonam, abate, abateu | 
 +| M | masculine | açúcar, adepto, adiantado | 
 +| M/F | masculine or feminine | Abidjan, cada, Chaves, especial | 
 +| MQP | pluperfect past tense of verbs | acabara, defendera, existira, foram, quisera, viram | 
 +| NOM | personal pronoun in nominative | ela, elas, ele, eles, eu, nós, vocês, você, vós | 
 +| NOM/PIV | personal pronoun in nominative or prepositional object | ela, elas, ele, eles, nós, você | 
 +| P | plural | 0,92, 14h00, africanos, águas, Amigos_da_Ilha_de_Santos | 
 +| PIV | pronoun in prepositional object | ela, elas, ele, eles, mim, nós, si, ti, vós | 
 +| PR | present tense of verbs | abandonam, abate, abonam, abordo, abra | 
 +| PR/PS | present or past tense of verbs | conhecemos, conseguimos, decidimos | 
 +| PS | perfect past tense of verbs | abalou, abandonaram, abandonou, abateu | 
 +| PS/MQP | perfect or pluperfect past tense of verbs | abafaram, abriram, acabaram, aceitaram | 
 +| S | singular | 1992, adicional, aditamento, aduaneira | 
 +| S/P | singular or plural | capaz, Chaves, mais | 
 +| SUBJ | subjunctive mood of verbs | abandonasse, abra, abram | 
 +| <ALT> | indicates typo in word | | 
 +| <DERP> | derivation by prefixation | hidroginástica, interactivo, supercomputação | 
 +| <DERS> | derivation by suffixation | neo-comunista, pessedebismo, tropologia | 
 +| <KOMP> | comparative hook determiner or adverb | assim, inferior, maior, mais, melhor, mesma, outra, piores, tanto | 
 +| <NUM-ord> | ordinal number, subclass of adjectives | 10º, 113ª, 1., primeiro, terços, última, XIV | 
 +| <SUP> | superlative of adjectives and adverbs | inferior, máximo, melhor, mínimo, ótimo, péssimo, pior | 
 +| <artd> | definite article or determiner pronoun | a, as, o, os | 
 +| <arti> | indefinite article or determiner pronoun | uma, um | 
 +| <card> | cardinal number | um, uma, dois, três, quatro, cinco | 
 +| <co-acc> | coordination of direct accusative objects | | 
 +| <co-advl> | coordination of adjunct adverbials | | 
 +| <co-advo> | coordination of argument adverbials, object related | | 
 +| <co-advs> | coordination of argument adverbials, subject related | | 
 +| <co-app> | coordination of adnominal appositions | | 
 +| <co-fmc> | coordination of main clauses | | 
 +| <co-ger> | coordination of gerunds | | 
 +| <co-inf> | coordination of infinitives | | 
 +| <co-oc> | coordination of object complements | | 
 +| <co-pass> | coordination of passive adjuncts | | 
 +| <co-pcv> | coordination of predicative participles | | 
 +| <co-piv> | coordination of prepositional objects | | 
 +| <co-postad> | coordination of postpositioned dependents in ap or advp | | 
 +| <co-postnom> | coordination of postpositioned dependents in np | | 
 +| <co-pred> | coordination of adjunct predicatives | | 
 +| <co-prenom> | coordination of prepositioned dependents in np | | 
 +| <co-prparg> | coordination of preposition arguments | | 
 +| <co-sc> | coordination of subject complements | | 
 +| <co-subj> | coordination of subjects | | 
 +| <co-vfin> | coordination of finite verbs | | 
 +| <coll> | collective reflexive pronoun | se (reunir-se, associar-se) | 
 +| <dem> | demonstrative pronoun or adverb | este, isso, isto, o, os, tais, tal, tão | 
 +| <det> | determiner usage / inflection of adverb | algo, meio, nada, quase, todo, um_tanto | 
 +| <diff> | differentiator | mesmo, outro, semelhante, tal | 
 +| <error> | probably processing error, not typo | | 
 +| <fmc> | verb heading finite main clause | | 
 +| <foc> | focus marker, adverb or pronoun | é_que, foi, fomos, que, são, será | 
 +| <hyfen> | separated hyphenated prefix, usually of verbs | tinha-, unia-, verifica- | 
 +| <ident> | identifier pronoun | mesmo, próprio | 
 +| <interr> | interrogative pronoun or adverb | como, onde, porque, quais, qual, quando, quanto, quem, que | 
 +| <kc> | conjunctional adverb | agora, aí, bem_como, como, ora, tal_como, todavia | 
 +| <ks> | adverb or preposition used like a subordinating conjunction | como, enquanto, onde, quando, segundo | 
 +| <n> | other word class used as noun, typically as head of noun phrase | anglo-americano, claro, feliz | 
 +| <poss | possessive determiner pronoun | meu, meus, minha, minhas, nossa, nossas, nosso, nossos, seu, seus, sua | 
 +| <prop> | other word class used as proper noun | Abril, Administração, Aeronáutica | 
 +| <prp> | other word class used as preposition | como, conforme, consoante, embora, segundo | 
 +| <quant> | indefinite quantifier adverb or pronoun | algo, ambas, bastante, bem, cada, certos, diversas, mais, menos | 
 +| <reci> | reciprocal reflexive | se (amar-se) | 
 +| <refl> | reflexive pronoun | se, me, te, nos, vos, si | 
 +| <rel> | relative pronoun or adverb | à_medida_que, como, cuja, donde, enquanto, quando, quão | 
 +| <-sam> | 2nd part in contracted word (nisto --> isto) | | 
 +| <sam-> | 1st part in contracted word (nisto --> em) | abaixo_de, a_cargo_de, ao_largo_de, apesar_de, em_face_de | 
 +| <si> | reflexive usage of 3rd person possessive | seu, seus, sua, suas | 
 +| <eg> | undocumented feature | 2 occurrences with cardinal numbers | 
 +| <Eg> | undocumented feature | occurs with numbers, adjectives and pronouns | 
 +| <Em> | undocumented feature | 6 occurrences with adjectives | 
 +| <Es> | undocumented feature | 3 occurrences with adverbs and prepositions | 
 +| <ink> | undocumented feature of finite verbs | está, havia, pode, tentou | 
 +| <mente> | undocumented feature; feminine adjective that can serve as base for derivation using the "-mente" suffix | directa, pura, rápida | 
 +| <meta> | undocumented feature of adverbs | afinal, só | 
 +| N | undocumented feature of nouns and articles | 15 occurrences | 
 +| <new> | undocumented feature | | 
 +| <nil> | undocumented feature | | 
 +| <obj> | undocumented feature | se | 
 +| <p> | undocumented feature | 1 occurrence | 
 +| <parkc-1> | undocumented feature of conjunctions and adverbs | assim, nem, ou, tanto | 
 +| <parkc-2> | undocumented feature of conjunctions, adverbs and prepositions | como, como_também, e, nem, ou, tampouco | 
 +| <postmod> | undocumented feature | 3 occurrences | 
 +| <premod> | undocumented feature of adverbs | | 
 +| > | noise; should be ignored | | 
 +| 0/1/3S | noise; should probably be 1/3S | | 
 +| 1 | noise; should be 1S | aproveitaria, saiba, tinha, vivia | 
 +| 1S> | noise; should be 1S | meu, meus, minha, minhas | 
 +| 1P> | noise; should be 1P | nossa, nossas, nosso, nossos | 
 +| 2S> | noise; should be 2S | seu, teu | 
 +| 2P> | noise; should be 2P | vossa, vosso | 
 +| 3S> | noise; should be 3S | seu, seus, sua, suas | 
 +| 3S/P> | noise; should be 3S/P | seu, seus, sua | 
 +| 3P> | noise; should be 3P | seu, seus, sua | 
 +| <adv> | noise? | fundo | 
 +| <advl> | noise; should be <co-advl> | e | 
 +| <co-adv> | noise; should be <co-advl> | | 
 +| >co-fmc> | noise; should be <co-fmc> | | 
 +| <co-fmv> | noise; should be <co-fmc> | | 
 +| convidado-> | noise; should be <ALT> | | 
 +| <co-postnom | noise; should be <co-postnom> | | 
 +| <co-prparg | noise; should be <co-prparg | | 
 +| <corr | noise; should be <ALT> | | 
 +| <co-vfin><co-fmc> | noise; should be two features | | 
 +| <Eg>F | noise; should be two features | | 
 +| <Eg>M | noise; should be two features | | 
 +| <F | noise; should be F | | 
 +| GER | noise; redundant gerund marker | 1 occurrence with v-ger | 
 +| <hyphen> | noise; should be <hyfen> | sofrê- | 
 +| INF | noise; redundant infinitive marker | 2 occurrences with <hyfen>
 +| 'Maio | noise | Maio | 
 +| MVF | noise; should be MV and F | motivada | 
 +| NUM | noise; redundant numeral marker | 1994 | 
 +| pasando> | noise; should be <ALT> | passando | 
 +| PCP | noise; redundant participle marker | 2 occurrences | 
 +| <postmod>F | noise; should be two features | | 
 +| <postnom> | noise; should be <co-postnom> | | 
 +| PROP | noise | 2 occurrences | 
 +| <prop>M | noise; should be two features | | 
 +| <prparg> | noise; should be <co-prparg> | | 
 +| R | noise; should be PR | 2 occurrences | 
 +| recohidas> | noise; should be <ALT> | recolhidas | 
 +| <rel><ks> | noise; should be two features | | 
 +| s | noise; should be S | | 
 +| saiem> | noise; should be <ALT> | saem | 
 +| <-sam><arti> | noise; should be two features | | 
 +| <-sam><dem> | noise; should be two features | | 
 +| <sc> | noise; should be <co-sc> | | 
 +| subordinanda> | noise; should be <ALT> | subordinada | 
 +| V | noise; redundant verb marker | | 
 +| <vfin> | noise; should be <co-vfin> | | 
 +| VFIN | noise | há od haver | 
 + 
 +===== Slovak (sk) ===== 
 + 
 +==== Slovenský národný korpus (SNK) ==== 
 + 
 +1457 structured tags. 
 + 
 +Total work time: 5:32 hours. 
 + 
 +===== Swedish (sv) ===== 
 + 
 +==== Mamba and CoNLL ==== 
 + 
 +Mamba tagset of Talbanken05. 48 tags, no morphosyntactic categories but detailed classification of auxiliary and modal verbs and punctuation. CoNLL driver is just an envelope around Mamba. 
 + 
 +Total work time: about 3 hours 
 + 
 +==== Tags of Hajič's Swedish tagger ==== 
 + 
 +Based on PAROLE Swedish tagset but some characters different (@ => W), and filled by dashes to uniform length of 9 characters (although i-th position does not always encode the same feature). 
 + 
 +No reliable statistics of work time; estimated 8 hours 
 + 
 +===== Time needed for tag set conversion ===== 
 + 
 +Some records about targeted tagset conversion for given tagset pairs, done in early 2006: 
 + 
 +Ruský treebank (nejen značky, ale vůbec evod formátu)
 +12:36 
 + 
 +Arabské značky (Otovy i Buckwalterovy, ještě bez Intersetu, 22.3.2006): 
 +4:45+1+1:40 = 7:25
  

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