overestimate Who acts: amount, someone, they, guess, I, many sweets · What happens: guess, think, be, overestimate, round, give · To what, where: jar, 48, strength, boxes, 271, other side · Speech: someone speaks here
«overestimate» in the school dictionary: its 3 meanings for a pupil and its 7 examples, every sentence parsed by Mova itself — its syntax tree, a dependency tree in the style of Universal Dependencies, and its pragmatics clause by clause. The word in the dictionary, with its sense in the lessons: overestimate in the school dictionary .
Meaning 1 To guess or think that an amount is bigger than it really is.
mark cc conj mark det nsubj cop ccomp mark nsubj advmod advcl punct root To PART guess VERB or CCONJ think VERB that SCONJ an DET amount NOUN is AUX bigger ADJ than SCONJ it PRON really ADV is VERB . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 To to PART _ 2 guess mark 2 guess guess VERB Mood=Imp VerbForm=Fin root root 3 or or CCONJ _ 4 think cc 4 think think VERB Mood=Imp VerbForm=Fin 2 guess conj 5 that that SCONJ _ 9 bigger mark 6 an a DET Definite=Ind PronType=Art 7 amount det 7 amount amount NOUN Number=Sing 9 bigger nsubj 8 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 bigger cop 9 bigger big ADJ Degree=Cmp 4 think ccomp 10 than than SCONJ _ 13 is mark 11 it it PRON Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs 13 is nsubj 12 really really ADV _ 13 is advmod 13 is be VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 bigger advcl 14 . . PUNCT _ 2 guess punct
# verb tense, mood who what, whom to whom where when other roles by
1 guess to-infinitive vn conjecture-29.5-1 «NP V that S»: agent=Agent 2 think speech: other infinitive vn focus-87.1-1 «NP V»: agent=Agent 3 is present a amount big property tree rules 4 be present amount vn exist-47.1 «NP V»: agent=Theme
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.
Meaning 2 To think someone or something is better, stronger or more important than they really are.
The tree, 15 words mark nsubj cc conj cop parataxis punct conj cc advmod advcl mark nsubj advmod advcl punct root To PART think VERB someone PRON or CCONJ something PRON is AUX better ADJ , PUNCT stronger ADJ or CCONJ more ADJ important ADJ than SCONJ they PRON really ADV are VERB . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 To to PART _ 2 think mark 2 think think VERB Mood=Imp VerbForm=Fin root root 3 someone someone PRON Number=Sing PronType=Ind 7 better nsubj 4 or or CCONJ _ 5 something cc 5 something something PRON Number=Sing PronType=Ind 3 someone conj 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 7 better cop 7 better good ADJ Degree=Cmp 2 think parataxis 8 , , PUNCT _ 9 stronger punct 9 stronger strong ADJ Degree=Cmp 7 better conj 10 or or CCONJ _ 11 more cc 11 more more ADJ Degree=Cmp 12 important advmod 12 important important ADJ Degree=Pos 7 better advcl 13 than than SCONJ _ 16 are mark 14 they they PRON Case=Nom Number=Plur Person=3 PronType=Prs 16 are nsubj 15 really really ADV _ 16 are advmod 16 are be VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 12 important advcl 17 . . PUNCT _ 2 think punct
# verb tense, mood who what, whom to whom where when other roles by
1 think speech: other to-infinitive vn focus-87.1-1 «NP V»: agent=Agent 2 is present someone good property tree rules 3 be someone not said here tree rules 4 does present they vn exist-47.1 «NP V»: agent=Theme
Meaning 3 Usage: noun — kept apart, not parsed.
A guess that is too large.
det nsubj nsubj cop advmod punct root A DET guess NOUN that PRON is AUX too ADV large ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 guess det 2 guess guess NOUN Number=Sing 6 large nsubj 3 that that PRON PronType=Rel 6 large nsubj 4 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 6 large cop 5 too too ADV _ 6 large advmod 6 large large ADJ Degree=Pos root root 7 . . PUNCT _ 6 large punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present a guess large property tree rules
Example 1 I overestimated how many sweets were in the jar.
nsubj advmod amod nsubj cop case det ccomp punct root I PRON overestimated VERB how ADV many ADJ sweets NOUN were AUX in ADP the DET jar NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 I I PRON Case=Nom Number=Sing Person=1 PronType=Prs 2 overestimated nsubj 2 overestimated overestimate VERB Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin root root 3 how how ADV PronType=Int 4 many advmod 4 many many ADJ Degree=Pos 5 sweets amod 5 sweets sweet NOUN Number=Plur 9 jar nsubj 6 were be AUX Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin 9 jar cop 7 in in ADP _ 9 jar case 8 the the DET Definite=Def PronType=Art 9 jar det 9 jar jar NOUN Number=Sing 2 overestimated ccomp 10 . . PUNCT _ 2 overestimated punct
# verb tense, mood who what, whom to whom where when other roles by
1 overestimate past I vn estimate-34.2-1 «NP V how S»: agent=Agent 2 is past many sweets the jar tree rules
Example 2 Rounding 48 up to 50 gives an overestimate.
csubj obj case case nmod det ccomp punct root Rounding VERB 48 NUM up ADP to ADP 50 NUM gives VERB an DET overestimate VERB . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Rounding round VERB VerbForm=Ger 6 gives csubj 2 48 48 NUM NumForm=Digit NumType=Card 1 Rounding obj 3 up up ADP _ 5 50 case 4 to to ADP _ 5 50 case 5 50 50 NUM NumForm=Digit NumType=Card 2 48 nmod 6 gives give VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 7 an a DET Definite=Ind PronType=Art 8 overestimate det 8 overestimate overestimate VERB Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin 6 gives ccomp 9 . . PUNCT _ 6 gives punct
# verb tense, mood who what, whom to whom where when other roles by
1 round gerund 48 up 50 vn bend-45.2 «NP V NP.patient»: agent=Agent 48=Patient 2 give present Rounding tree rules 3 overestimate present Rounding not said here vn estimate-34.2-1 «NP V how S»: agent=Agent
Example 3 We overestimated how far we could walk and got very tired.
nsubj advmod advmod nsubj aux advcl cc conj advmod xcomp punct root We PRON overestimated VERB how ADV far ADV we PRON could AUX walk VERB and CCONJ got VERB very ADV tired ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 We we PRON Case=Nom Number=Plur Person=1 PronType=Prs 2 overestimated nsubj 2 overestimated overestimate VERB Mood=Ind Number=Plur Person=1 Tense=Past VerbForm=Fin root root 3 how how ADV PronType=Int 4 far advmod 4 far far ADV Degree=Pos 7 walk advmod 5 we we PRON Case=Nom Number=Plur Person=1 PronType=Prs 7 walk nsubj 6 could could AUX VerbForm=Fin 7 walk aux 7 walk walk VERB VerbForm=Inf 2 overestimated advcl 8 and and CCONJ _ 9 got cc 9 got get VERB Mood=Ind Number=Plur Person=1 Tense=Past VerbForm=Fin 2 overestimated conj 10 very very ADV _ 11 tired advmod 11 tired tired ADJ Degree=Pos 9 got xcomp 12 . . PUNCT _ 2 overestimated punct
# verb tense, mood who what, whom to whom where when other roles by
1 overestimate past We vn estimate-34.2-1 «NP V how S»: agent=Agent 2 walk could we far property vn run-51.3.2-2-1 «NP V»: agent=Theme 3 get past We not said here tired property vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer
Example 4 Don't overestimate your strength when lifting boxes.
advmod ccomp nmod:poss obj advmod advcl obj punct root Do VERB n't PART overestimate VERB your PRON strength NOUN when ADV lifting VERB boxes NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Do do VERB Mood=Imp VerbForm=Fin root root 2 n't not PART Polarity=Neg 3 overestimate advmod 3 overestimate overestimate VERB Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin 1 Do ccomp 4 your your PRON Case=Gen Person=2 Poss=Yes PronType=Prs 5 strength nmod:poss 5 strength strength NOUN Number=Sing 3 overestimate obj 6 when when ADV PronType=Int 7 lifting advmod 7 lifting lift VERB Tense=Pres VerbForm=Part 3 overestimate advcl 8 boxes box NOUN Number=Plur 7 lifting obj 9 . . PUNCT _ 1 Do punct
# verb tense, mood who what, whom to whom where when other roles by
1 do imperative you not said here tree rules 2 not overestimate present you not said here your strength vn estimate-34.2-1 «NP V NP.value»: agent=Agent strength=Value 3 lift gerund you not said here boxes vn put_direction-9.4 «NP V NP»: agent=Agent box=Theme
Example 5 My guess of 300 was an overestimate; the answer was 271.
nmod:poss nsubj case nmod cop det punct det nsubj cop obl punct root My PRON guess NOUN of ADP 300 NUM was AUX an DET overestimate VERB ; PUNCT the DET answer NOUN was AUX 271 NUM . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 My my PRON Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs 2 guess nmod:poss 2 guess guess NOUN Number=Sing 7 overestimate nsubj 3 of of ADP _ 4 300 case 4 300 300 NUM NumForm=Digit NumType=Card 2 guess nmod 5 was be AUX Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 7 overestimate cop 6 an a DET Definite=Ind PronType=Art 7 overestimate det 7 overestimate overestimate VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin root root 8 ; ; PUNCT _ 12 271 punct 9 the the DET Definite=Def PronType=Art 10 answer det 10 answer answer NOUN Number=Sing 12 271 nsubj 11 was be AUX Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 12 271 cop 12 271 271 NUM NumForm=Digit NumType=Card 7 overestimate obl 13 . . PUNCT _ 7 overestimate punct
# verb tense, mood who what, whom to whom where when other roles by
1 is past My guess of 300 overestimate property tree rules 2 is a past the answer 271 tree rules 3 guess My nom guess «communication transitive»: poss=agent
Example 6 The team overestimated the other side and were surprised to win.
det nsubj det amod obj cc cop conj mark xcomp punct root The DET team NOUN overestimated VERB the DET other ADJ side NOUN and CCONJ were AUX surprised ADJ to PART win VERB . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 team det 2 team team NOUN Number=Sing 3 overestimated nsubj 3 overestimated overestimate VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 4 the the DET Definite=Def PronType=Art 6 side det 5 other other ADJ Degree=Pos 6 side amod 6 side side NOUN Number=Sing 3 overestimated obj 7 and and CCONJ _ 9 surprised cc 8 were be AUX Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin 9 surprised cop 9 surprised surprised ADJ Degree=Pos 3 overestimated conj 10 to to PART _ 11 win mark 11 win win VERB VerbForm=Inf 9 surprised xcomp 12 . . PUNCT _ 3 overestimated punct
# verb tense, mood who what, whom to whom where when other roles by
1 overestimate past the team the other side vn estimate-34.2-1 «NP V NP.value»: agent=Agent side=Value 2 is past the team not said here surprised property tree rules 3 win to-infinitive the team not said here vn succeed-74-2 «NP V»: agent=Agent
Example 7 Do not let your vanity make you overestimate your powers.
aux advmod nmod:poss nsubj ccomp nsubj xcomp nmod:poss obj punct root Do AUX not PART let VERB your PRON vanity NOUN make VERB you PRON overestimate VERB your PRON powers NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Do do AUX Mood=Imp VerbForm=Fin 3 let aux 2 not not PART Polarity=Neg 3 let advmod 3 let let VERB Mood=Imp VerbForm=Fin root root 4 your your PRON Case=Gen Person=2 Poss=Yes PronType=Prs 5 vanity nmod:poss 5 vanity vanity NOUN Number=Sing 6 make nsubj 6 make make VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 3 let ccomp 7 you you PRON Case=Nom Person=2 PronType=Prs 8 overestimate nsubj 8 overestimate overestimate VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 6 make xcomp 9 your your PRON Case=Gen Person=2 Poss=Yes PronType=Prs 10 powers nmod:poss 10 powers power NOUN Number=Plur 8 overestimate obj 11 . . PUNCT _ 3 let punct
# verb tense, mood who what, whom to whom where when other roles by
1 not let imperative · do-support you not said here tree rules 2 make present your vanity tree rules 3 overestimate present you your powers vn estimate-34.2-1 «NP V NP.value»: agent=Agent power=Value
Text: the school dictionary of Mova's schools (world/data/dictionary-schools/), written for Mova. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each meaning and example read on its own. Elamur Cosmic License.
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