Mova0.5 pre-release⌕
☰
home / corpora / dictionaries / school dictionary / C / classifier

classifier

Who acts: person, computer program, classifier, classification key, you, AI classifier · What happens: sort, decide, belong, not spam, use, be · To what, where: things, groups, group, word, emails, spam

«classifier» in the school dictionary: its 3 meanings for a pupil and its 6 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: classifier in the school dictionary.

Meaning 1

A person or thing that sorts things into groups.

detccconjnsubjacl:relclobjcaseoblpunctrootADETpersonNOUNorCCONJthingNOUNthatPRONsortsVERBthingsNOUNintoADPgroupsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 persondet
2personpersonNOUNNumber=Singrootroot
3ororCCONJ_4 thingcc
4thingthingNOUNNumber=Sing2 personconj
5thatthatPRONPronType=Rel6 sortsnsubj
6sortssortVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin2 personacl:relcl
7thingsthingNOUNNumber=Plur6 sortsobj
8intointoADP_9 groupscase
9groupsgroupNOUNNumber=Plur6 sortsobl
10..PUNCT_2 personpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1sortpresenta person or thingthingsinto groups goalvn classify-29.10 «NP V NP PP.goal»: agent=Agent thing=Theme into group=Goal

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

Usage: computing — kept apart, not parsed.

A computer program that decides which group or label something belongs to, like spam or not spam.

The tree, 17 words
detcompoundnsubjnsubjacl:relcldetobjccconjapposcasepunctcaseoblccadvmodconjpunctrootADETcomputerNOUNprogramNOUNthatPRONdecidesVERBwhichDETgroupNOUNorCCONJlabelNOUNsomethingPRONbelongsVERBtoADP,PUNCTlikeADPspamNOUNorCCONJnotPARTspamVERB.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 programdet
2computercomputerNOUNNumber=Sing3 programcompound
3programprogramNOUNNumber=Sing11 belongsnsubj
4thatthatPRONPronType=Rel5 decidesnsubj
5decidesdecideVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin3 programacl:relcl
6whichwhichDETPronType=Int7 groupdet
7groupgroupNOUNNumber=Sing5 decidesobj
8ororCCONJ_9 labelcc
9labellabelNOUNNumber=Sing7 groupconj
10somethingsomethingPRONNumber=Sing PronType=Ind7 groupappos
11belongsbelongVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
12totoADP_15 spamcase
13,,PUNCT_15 spampunct
14likelikeADP_15 spamcase
15spamspamNOUNNumber=Sing11 belongsobl
16ororCCONJ_18 spamcc
17notnotPARTPolarity=Neg18 spamadvmod
18spamspamVERBVerbForm=Inf15 spamconj
19..PUNCT_11 belongspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1decidepresenta computer programwhich group or labelvn correspond-36.1-1 «NP V S»: agent=Agent group=Topic
2belongpresenta computer programto spamvn attend-107.4-2 «NP V PP»: agent=Theme
3not spaminfinitivea computer program not said heretree rules

Meaning 3

Usage: language — kept apart, not parsed.

In some languages like Mandarin, a word used between a number and a noun, like «a piece of» in English.

The tree, 20 words
casedetcasenmodpunctdetapposaclcasedetoblccdetconjpunctcasepunctdetoblcasepunctcasenmodpunctrootInADPsomeDETlanguagesNOUNlikeADPMandarinPROPN,PUNCTaDETwordNOUNusedVERBbetweenADPaDETnumberNOUNandCCONJaDETnounNOUN,PUNCTlikeADP«PUNCTaDETpieceNOUNofADP»PUNCTinADPEnglishPROPN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_3 languagescase
2somesomeDETPronType=Ind3 languagesdet
3languageslanguageNOUNNumber=Plurrootroot
4likelikeADP_5 Mandarincase
5MandarinMandarinPROPNNumber=Sing3 languagesnmod
6,,PUNCT_8 wordpunct
7aaDETDefinite=Ind PronType=Art8 worddet
8wordwordNOUNNumber=Sing5 Mandarinappos
9useduseVERBTense=Past VerbForm=Part Voice=Pass8 wordacl
10betweenbetweenADP_12 numbercase
11aaDETDefinite=Ind PronType=Art12 numberdet
12numbernumberNOUNNumber=Sing9 usedobl
13andandCCONJ_15 nouncc
14aaDETDefinite=Ind PronType=Art15 noundet
15nounnounNOUNNumber=Sing12 numberconj
16,,PUNCT_20 piecepunct
17likelikeADP_20 piececase
18««PUNCT_20 piecepunct
19aaDETDefinite=Ind PronType=Art20 piecedet
20piecepieceNOUNNumber=Sing9 usedobl
21ofofADP_24 Englishcase
22»»PUNCT_21 ofpunct
23ininADP_24 Englishcase
24EnglishEnglishPROPNNumber=Sing20 piecenmod
25..PUNCT_3 languagespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1useparticiplea word not said herebetween a number and a noun; like a piece of Englishvn eat-39.1 «NP V»: agent=Agent

Example 1

The classifier sorted the emails into spam and not spam.

detnsubjdetobjcaseoblccadvmodconjpunctrootTheDETclassifierNOUNsortedVERBtheDETemailsNOUNintoADPspamNOUNandCCONJnotPARTspamVERB.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art2 classifierdet
2classifierclassifierNOUNNumber=Sing3 sortednsubj
3sortedsortVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4thetheDETDefinite=Def PronType=Art5 emailsdet
5emailsemailNOUNNumber=Plur3 sortedobj
6intointoADP_7 spamcase
7spamspamNOUNNumber=Sing3 sortedobl
8andandCCONJ_10 spamcc
9notnotPARTPolarity=Neg10 spamadvmod
10spamspamVERBVerbForm=Inf3 sortedconj
11..PUNCT_3 sortedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1sortpastthe classifierthe emailsinto spam goalvn classify-29.10 «NP V NP PP.goal»: agent=Agent email=Theme into spam=Goal
2not spaminfinitivethe classifier not said heretree rules

Example 2

A classification key is a kind of classifier for animals.

detcompoundnsubjcopdetcasenmodcasenmodpunctrootADETclassificationNOUNkeyNOUNisAUXaDETkindNOUNofADPclassifierNOUNforADPanimalsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 keydet
2classificationclassificationNOUNNumber=Sing3 keycompound
3keykeyNOUNNumber=Sing6 kindnsubj
4isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin6 kindcop
5aaDETDefinite=Ind PronType=Art6 kinddet
6kindkindNOUNNumber=Singrootroot
7ofofADP_8 classifiercase
8classifierclassifierNOUNNumber=Sing6 kindnmod
9forforADP_10 animalscase
10animalsanimalNOUNNumber=Plur6 kindnmod
11..PUNCT_6 kindpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresenta classification keya kindof classifier; for animalstree rules

Example 3

In Mandarin, you need a classifier between the number and the noun.

caseoblpunctnsubjdetobjcasedetnmodccdetconjpunctrootInADPMandarinPROPN,PUNCTyouPRONneedVERBaDETclassifierNOUNbetweenADPtheDETnumberNOUNandCCONJtheDETnounNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_2 Mandarincase
2MandarinMandarinPROPNNumber=Sing5 needobl
3,,PUNCT_2 Mandarinpunct
4youyouPRONCase=Nom Person=2 PronType=Prs5 neednsubj
5needneedVERBMood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Finrootroot
6aaDETDefinite=Ind PronType=Art7 classifierdet
7classifierclassifierNOUNNumber=Sing5 needobj
8betweenbetweenADP_10 numbercase
9thetheDETDefinite=Def PronType=Art10 numberdet
10numbernumberNOUNNumber=Sing7 classifiernmod
11andandCCONJ_13 nouncc
12thetheDETDefinite=Def PronType=Art13 noundet
13nounnounNOUNNumber=Sing7 classifierconj
14..PUNCT_5 needpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1needpresentyoua classifier and the nounMandarinbetween the numbervn want-32.1-1-1 «NP V NP ADV»: agent=Pivot classifier=Theme

Example 4

The AI classifier recognised the cat in the photo.

detcompoundnsubjdetobjcasedetoblpunctrootTheDETAINOUNclassifierNOUNrecognisedVERBtheDETcatNOUNinADPtheDETphotoNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art3 classifierdet
2AIaiNOUNNumber=Sing3 classifiercompound
3classifierclassifierNOUNNumber=Sing4 recognisednsubj
4recognisedrecogniseVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
5thetheDETDefinite=Def PronType=Art6 catdet
6catcatNOUNNumber=Sing4 recognisedobj
7ininADP_9 photocase
8thetheDETDefinite=Def PronType=Art9 photodet
9photophotoNOUNNumber=Sing4 recognisedobl
10..PUNCT_4 recognisedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1recognisepastthe AI classifierthe catthe photovn comprehend-87.2-1 «NP V NP»: agent=Experiencer cat=Stimulus

Example 5

«A loaf of bread» works like a classifier in English.

punctdetnsubjcasenmodpunctcasedetoblcasenmodpunctroot«PUNCTADETloafNOUNofADPbreadNOUN»PUNCTworksVERBlikeADPaDETclassifierNOUNinADPEnglishPROPN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1««PUNCT_3 loafpunct
2AaDETDefinite=Ind PronType=Art3 loafdet
3loafloafNOUNNumber=Sing7 worksnsubj
4ofofADP_5 breadcase
5breadbreadNOUNNumber=Sing3 loafnmod
6»»PUNCT_3 loafpunct
7worksworkVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
8likelikeADP_10 classifiercase
9aaDETDefinite=Ind PronType=Art10 classifierdet
10classifierclassifierNOUNNumber=Sing7 worksobl
11ininADP_12 Englishcase
12EnglishEnglishPROPNNumber=Sing10 classifiernmod
13..PUNCT_7 workspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1workpresenta loaf of breadlike a classifier in Englishvn employment-95.3 «NP V»: agent=Agent

Example 6

We trained a classifier on pictures of fruit.

nsubjdetobjcaseoblcasenmodpunctrootWePRONtrainedVERBaDETclassifierNOUNonADPpicturesNOUNofADPfruitNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WewePRONCase=Nom Number=Plur Person=1 PronType=Prs2 trainednsubj
2trainedtrainVERBMood=Ind Number=Plur Person=1 Tense=Past VerbForm=Finrootroot
3aaDETDefinite=Ind PronType=Art4 classifierdet
4classifierclassifierNOUNNumber=Sing2 trainedobj
5ononADP_6 picturescase
6picturespictureNOUNNumber=Plur2 trainedobl
7ofofADP_8 fruitcase
8fruitfruitNOUNNumber=Sing6 picturesnmod
9..PUNCT_2 trainedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1trainpastWea classifierpictures of fruitvn hire-13.5.3 «NP V NP»: agent=Agent classifier=Theme

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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/C/classifier/