Plain Text - 1.1 MB
Published Jul 4, 2014
29 Downloads
MD5: c2950ad99c336b1681ccf28d7ceb455a
This dataset represents all the examples of byti extracted from the PROIEL corpus and tagged for the grammatical construction they appear in. Description of columns A=source (the manuscript that the example comes from); values=Marianus, Supr. (Suprasliensis), Zogr. (Zographensis) B=source_division (the chapter where the example is found) C=verse (the verse where the example is found) D=token_id (the identification number for the example) E=sentence_id (the identification number for the sentence in which the example is found) F=verb (the form of the example) G=lemma_id (the identification number for the lemma) H=lemma (the lemma/dictionary form for the example) I=relation (the syntactic relation); values= adv (adverbial), apos (aposition), arg (unspecified argument used when more specific classification is unclear), atr (adnominal attribute), aux (auxiliary), comp (complement clause), narg (nominal argument), obj (transitive object), obl (obique argument), parpred (parenthetical predication), part (adnominal partitive), pred (predicate), sub (subject), voc (vocative element), xadv (adverbial with external subject), xobj (argument with external subject) J=main_verb (is the example the main verb of the clause?); values=FALSE, TRUE K=prefix (prefix on the verb, if any) L=stem (stem of the verb) M=harmonised stem (stems represented as single units despite any morphophonemic alternations) N=suffix (suffixes in the infinitive stem) O=reflexive (is there a reflexive clitic or not) P=mood (mood and finiteness); values=i (indicative), m(imperative), n(infinitive), p(participle), s(subjunctive), u(supine) Q=tense; values=a(aorist), f(future), i(imperfect), p(present), u(past) R=voice; values=a(active), p(passive) S=person; values=1(first), 2(second), 3(third) T=number; values=d(dual), p(plural), s(singular) U=verb_case(the case of a form; used only for participles); values=a(accusative), d(dative), g(genitive), i(instrumental), l(locative), n(nominative), v(vocative) V=semantics(sematic tag for the verb); values=acquisition, activity_interrelation, activity_physiological, activity_professional, activity_religious, addition, addressing, behavior, characterized_speech, choice, closing, cognition, collecting, compulsive_action, covering, creation, damage, emotional_manifestation, emotional_modification, examination, existence, existence_end, existence_formation, existence_spatial, filling, giving, help, impact, information_distribution, loss, maintaining, management, memory, modal, movement_multidirectionalmovement_nonforward, movement_unidirectional, opening, oral_communication, oral_conversation, perception, personal_attitude, possession, preparation, putting, quality_manifestation, quality_modification, searching, separation, sound_emission, state_functional, subordination, transfer, transfer_multidirectional, transfer_unidirectional W=sub(subject of the verb; lists the form of the subject of the verb) X=sub_token_id(subject token identification number) Y=sub_lemma_id(identification number of the lemma of the subject) Z=obj(object of the verb; lists the form of the object of the verb) AA=obj_token_id(object token identification number) AB=obj_lemma_id(identification number of the lemma of the object) AC=obl(oblique argument of the verb; lists the form of the oblique argument of the verb) AD=obl_token_id(oblique argument token identification number) AE=obl_lemma_id(identification number of the lemma of the oblique argument) AF=comp(the form that is the head of the complement clause, if any) AG=xobject(the form of the argument with an external subject, if any) AH=context(the example sentence) AI=tensemood(the tense/mood marking of the verb form); values=aorist, imperative, imperfect, infinitive/supine, l-form, other, past participle, present, present participle
Data Part Two