Legends and tales of the Harz Mountains, Legends and Tales., part 4, sentence 80
"At last we could bear the uncertainty no longer, and assuming the dresses of nuns, we joined several actual nuns and a couple of surgeons, who were going to France to follow the second army, in which Franz and Karl served, to nurse the wounded, seeking them out on the battle-field, which was very necessary, for there were not nurses and surgeons sufficient for the need, and many died for the lack of nursing in time.
Who acts: we, couple, Franz, battle field, nurses, many · What happens: bear, assume, join, go, follow, serve · To what, where: uncertainty, last, dresses, several actual nuns, France, second army
This is a sentence of «Legends and tales of the Harz Mountains» by Toofie Lauder, Legends and Tales., part 4. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (we, couple, Franz, battle field), what happens, when and where, as Mova's frames read it from the tree.
Mova's own parse. This tree may be wrong.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | " | " | PUNCT | _ | 6 bear | punct |
| 2 | At | at | ADP | _ | 3 last | case |
| 3 | last | last | ADJ | Degree=Pos | 6 bear | obl |
| 4 | we | we | PRON | Case=Nom Number=Plur Person=1 PronType=Prs | 6 bear | nsubj |
| 5 | could | could | AUX | VerbForm=Fin | 6 bear | aux |
| 6 | bear | bear | VERB | VerbForm=Inf | root | root |
| 7 | the | the | DET | Definite=Def PronType=Art | 8 uncertainty | det |
| 8 | uncertainty | uncertainty | NOUN | Number=Sing | 6 bear | obj |
| 9 | no | no | ADV | _ | 10 longer | advmod |
| 10 | longer | long | ADV | Degree=Cmp | 6 bear | advmod |
| 11 | , | , | PUNCT | _ | 20 joined | punct |
| 12 | and | and | CCONJ | _ | 20 joined | cc |
| 13 | assuming | assume | VERB | Tense=Pres VerbForm=Part | 20 joined | advcl |
| 14 | the | the | DET | Definite=Def PronType=Art | 15 dresses | det |
| 15 | dresses | dress | NOUN | Number=Plur | 13 assuming | obj |
| 16 | of | of | ADP | _ | 17 nuns | case |
| 17 | nuns | nun | NOUN | Number=Plur | 15 dresses | nmod |
| 18 | , | , | PUNCT | _ | 13 assuming | punct |
| 19 | we | we | PRON | Case=Nom Number=Plur Person=1 PronType=Prs | 20 joined | nsubj |
| 20 | joined | join | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 6 bear | conj |
| 21 | several | several | ADJ | Degree=Pos | 23 nuns | amod |
| 22 | actual | actual | ADJ | Degree=Pos | 23 nuns | amod |
| 23 | nuns | nun | NOUN | Number=Plur | 20 joined | obj |
| 24 | and | and | CCONJ | _ | 26 couple | cc |
| 25 | a | a | DET | Definite=Ind PronType=Art | 26 couple | det |
| 26 | couple | couple | NOUN | Number=Sing | 23 nuns | conj |
| 27 | of | of | ADP | _ | 28 surgeons | case |
| 28 | surgeons | surgeon | NOUN | Number=Plur | 26 couple | nmod |
| 29 | , | , | PUNCT | _ | 32 going | punct |
| 30 | who | who | PRON | PronType=Rel | 32 going | nsubj |
| 31 | were | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 32 going | aux |
| 32 | going | go | VERB | Tense=Pres VerbForm=Part | 26 couple | conj |
| 33 | to | to | ADP | _ | 34 France | case |
| 34 | France | France | PROPN | Number=Sing | 32 going | obl |
| 35 | to | to | PART | _ | 36 follow | mark |
| 36 | follow | follow | VERB | VerbForm=Inf | 32 going | xcomp |
| 37 | the | the | DET | Definite=Def PronType=Art | 39 army | det |
| 38 | second | second | ADJ | Degree=Pos NumForm=Word NumType=Ord | 39 army | amod |
| 39 | army | army | NOUN | Number=Sing | 36 follow | obj |
| 40 | , | , | PUNCT | _ | 46 served | punct |
| 41 | in | in | ADP | _ | 42 which | case |
| 42 | which | which | PRON | PronType=Rel | 46 served | obl |
| 43 | Franz | Franz | PROPN | Number=Sing | 46 served | nsubj |
| 44 | and | and | CCONJ | _ | 45 Karl | cc |
| 45 | Karl | Karl | PROPN | Number=Sing | 43 Franz | conj |
| 46 | served | serve | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 36 follow | advcl |
| 47 | , | , | PUNCT | _ | 49 nurse | punct |
| 48 | to | to | PART | _ | 49 nurse | mark |
| 49 | nurse | nurse | NOUN | Number=Sing | 46 served | obl |
| 50 | the | the | DET | Definite=Def PronType=Art | 51 wounded | det |
| 51 | wounded | wounded | ADJ | Degree=Pos | 49 nurse | amod |
| 52 | , | , | PUNCT | _ | 53 seeking | punct |
| 53 | seeking | seek | VERB | Tense=Pres VerbForm=Part | 46 served | advcl |
| 54 | them | they | PRON | Case=Acc Number=Plur Person=3 PronType=Prs | 53 seeking | obj |
| 55 | out | out | ADP | _ | 53 seeking | compound:prt |
| 56 | on | on | ADP | _ | 60 field | case |
| 57 | the | the | DET | Definite=Def PronType=Art | 60 field | det |
| 58 | battle | battle | NOUN | Number=Sing | 60 field | compound |
| 59 | - | - | PUNCT | _ | 58 battle | punct |
| 60 | field | field | NOUN | Number=Sing | 53 seeking | obl |
| 61 | , | , | PUNCT | _ | 65 necessary | punct |
| 62 | which | which | PRON | PronType=Rel | 65 necessary | nsubj |
| 63 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 65 necessary | cop |
| 64 | very | very | ADV | _ | 65 necessary | advmod |
| 65 | necessary | necessary | ADJ | Degree=Pos | 60 field | conj |
| 66 | , | , | PUNCT | _ | 69 were | punct |
| 67 | for | for | SCONJ | _ | 69 were | mark |
| 68 | there | there | PRON | PronType=Dem | 69 were | expl |
| 69 | were | be | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 81 died | advcl |
| 70 | not | not | PART | Polarity=Neg | 71 nurses | advmod |
| 71 | nurses | nurse | NOUN | Number=Plur | 69 were | nsubj |
| 72 | and | and | CCONJ | _ | 73 surgeons | cc |
| 73 | surgeons | surgeon | NOUN | Number=Plur | 71 nurses | conj |
| 74 | sufficient | sufficient | ADJ | Degree=Pos | 71 nurses | amod |
| 75 | for | for | ADP | _ | 77 need | case |
| 76 | the | the | DET | Definite=Def PronType=Art | 77 need | det |
| 77 | need | need | NOUN | Number=Sing | 74 sufficient | obl |
| 78 | , | , | PUNCT | _ | 81 died | punct |
| 79 | and | and | CCONJ | _ | 81 died | cc |
| 80 | many | many | ADJ | Degree=Pos | 81 died | nsubj |
| 81 | died | die | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 65 necessary | parataxis |
| 82 | for | for | ADP | _ | 84 lack | case |
| 83 | the | the | DET | Definite=Def PronType=Art | 84 lack | det |
| 84 | lack | lack | NOUN | Number=Sing | 81 died | obl |
| 85 | of | of | ADP | _ | 86 nursing | case |
| 86 | nursing | nursing | NOUN | Number=Sing | 84 lack | nmod |
| 87 | in | in | ADP | _ | 88 time | case |
| 88 | time | time | NOUN | Number=Sing | 86 nursing | nmod |
| 89 | . | . | PUNCT | _ | 6 bear | punct |
Pragmatics
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | bear in a quote | could | we | the uncertainty | last | long property | vn birth-28.2-1-1 «NP V NP»: agent=Agent uncertainty=Patient | ||
| 2 | assume in a quote | gerund | we not said here | the dresses of nuns | vn adopt-93.1 «NP V NP»: agent=Agent dress=Theme | ||||
| 3 | join in a quote | past | we | several actual nuns and a couple of surgeons | vn mix-22.1-2-1 «NP V NP»: agent=Agent nun=Patient | ||||
| 4 | go in a quote | past · progressive | a couple of surgeons | France | vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic | ||||
| 5 | follow in a quote | to-infinitive | a couple of surgeons not said here | the second army | vn chase-51.6 «NP V NP»: agent=Agent army=Theme | ||||
| 6 | serve in a quote | past | Franz and Karl | nurse | which obl | vn masquerade-29.6-2 «NP V PP.attribute»: agent=Agent in which=Attribute | |||
| 7 | seek out in a quote | gerund | Franz and Karl not said here | nuns = nun | the battle field | vn hunt-35.1 «NP V NP PP.location»: agent=Agent they=Theme on field=Location | |||
| 8 | is in a quote | past | the battle field | necessary property | tree rules | ||||
| 9 | be in a quote | past | nurses and surgeons | there | vn exist-47.1 «NP V»: agent=Theme | ||||
| 10 | die in a quote | past | many | for the lack of nursing in time | vn long-32.2 «NP V PP.theme»: agent=Pivot for lack=Theme | ||||
| 11 | lack in a quote | nursing in time | nom lack «state transitive»: of=patient |
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.
Text: «Legends and tales of the Harz Mountains» by Toofie Lauder, Project Gutenberg book 74323 (public domain in the USA). Tree: Mova's own parse, Elamur Cosmic License. Frames: Mova's frames reader (prag), the chapter read in order.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/tales/pg74323/5/80/