Parse
1 sentence
Sentence 1
I just love waiting in line for hours.
Dependency tree
The tree as a table
| # | word | lemma | UPOS | XPOS | features | head | relation |
|---|---|---|---|---|---|---|---|
| 1 | I | I | PRON | PRP | Case=Nom | Number=Sing | Person=1 | PronType=Prs | 3 (love) | nsubj |
| 2 | just | just | ADV | RB | _ | 3 (love) | advmod |
| 3 | love | love | VERB | VBP | Mood=Ind | Number=Sing | Person=1 | Tense=Pres | VerbForm=Fin | 0 (root) | root |
| 4 | waiting | wait | VERB | VBG | VerbForm=Ger | 3 (love) | xcomp |
| 5 | in | in | ADP | IN | _ | 6 (line) | case |
| 6 | line | line | NOUN | NN | Number=Sing | 4 (waiting) | obl |
| 7 | for | for | ADP | IN | _ | 8 (hours) | case |
| 8 | hours | hour | NOUN | NNS | Number=Plur | 4 (waiting) | obl |
| 9 | . | . | PUNCT | . | _ | 3 (love) | punct |
Who did what to whom
| # | verb | kind | tense, mood | who | what, whom | to whom | where | other | links | roles by |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | love | event | pres | I | vn admire-31.2-1 «NP V S_ING»: agent=Experiencer clause=Stimulus | |||||
| 2 | wait not said to happen; not said here: agent | event | ger | I | line | when:hour (property) | vn exist-47.1 «NP V PP.location»: agent=Theme in line=Location |
Speech act and stance
| field | value | margin |
|---|---|---|
| speech act | assert | 9.99 |
| sentence form | decl | 67.44 |
| indirect | no | 32.43 |
| hedged | no | 55.66 |
| polarity | pos | 32.42 |
| voice | character | 7.01 |
Labels of Mova's speech-act model (a perceptron); the margin is its score over the runner-up label: larger is surer.
Cue words: love (pos)
Irony candidate (score 5): praise «love» of the bad «waiting in line» — the positive verb «love» takes the negative situation «waiting in line» as its complement (implicit incongruity, +3); the positive «love» governs the negative «waiting in line» (1 positive, 1 negative, 1 flip(s), longest run 1; explicit incongruity, +2) — score 5 ≥ 2
Parsed by Mova 0.6 pre-release: level 1 tells the language of each sentence and span; level 2 parses each with its language's own model — English en.bin (2483516a), French fr.bin (73ee9252); speech acts: a perceptron trained on 2986 labelled sentences.
Terms of use · Privacy policy · Parse · API · MCP · Account