PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (325 utterances, 1,639 words searched).

  1. oh # they cut it out of the metal . MEL · eng_USA_Brown/sarah117.cha, line 62 · Sarah 4;07
  2. maybe that was the name of the man who made this . MEL · eng_USA_Brown/sarah117.cha, line 68 · Sarah 4;07
  3. …n't know what you do # but I think you need Borax to get the dirt out of you . MOT · eng_USA_Brown/sarah117.cha, line 318 · Sarah 4;07
  4. want a drink of milk ? MOT · eng_USA_Brown/sarah117.cha, line 345 · Sarah 4;07
  5. you've got a lot of teachers # in that school ? GAI · eng_USA_Brown/sarah117.cha, line 566 · Sarah 4;07
  6. is that (be)cause your mouth's full of cookie ? MEL · eng_USA_Brown/sarah117.cha, line 762 · Sarah 4;07
  7. the night of Donny's party somebody must have taken the saucers . MOT · eng_USA_Brown/sarah117.cha, line 962 · Sarah 4;07
  8. what kind of things ? MEL · eng_USA_Brown/sarah117.cha, line 1183 · Sarah 4;07
  9. we had it on top of the washin(g) machine . MOT · eng_USA_Brown/sarah117.cha, line 1216 · Sarah 4;07
  10. why do you think it's called a dog instead of being called a # cat ? MEL · eng_USA_Brown/sarah117.cha, line 1294 · Sarah 4;07
  11. she took a whole can of Dutch Cleanser and whoo # all over the floor # y(ou) know ? MOT · eng_USA_Brown/sarah117.cha, line 1314 · Sarah 4;07
  1. MELhow do they do it ?
    CHIyeah .
    MEL*MEL: oh # they cut it out of the metal .
    CHIbut how the names get on it ?
    MELhow ?
  2. CHIbut how the names get on it ?
    MELhow ?
    MEL*MEL: maybe that was the name of the man who made this .
    CHIhullo [: hello] .
    CHIhow # (a)nd [?] # xxx are # you coming # here # you .
  3. MOThuh ?
    CHInope .
    MOT*MOT: Sarah # I don't know what you do # but I think you need Borax to get the dirt out of you .
    MOTtwenty mule +...
    MOTwhat is it # twenty mule team ?
  4. CHIwas it ?
    MELguess so .
    MOT*MOT: want a drink of milk ?
    CHIyeah # yeah .
    CHIlook it the funny face .
  5. MOTshe's got a pipe dream .
    GAIyou've got what ?
    GAI*GAI: you've got a lot of teachers # in that school ?
    CHImmhm .
    MELthe teacher had to stay in bed (be)cause she was gonna lose her mind ?
  6. CHIit really is .
    MELyou're not talking too clearly today .
    MEL*MEL: is that (be)cause your mouth's full of cookie ?
    MOTdon't talk with your mouth full .
    CHI(be)cause I like to do that .
  7. GAImmhm .
    MOTlast week I only had xxx .
    MOT*MOT: the night of Donny's party somebody must have taken the saucers .
    MOTthey must've been takin(g) cups out o(f) here # I don't know # and the saucers .
    MOT(a)n(d) puttin(g) em way over here # down (a)n(d) behind ?
  8. MOTthings that make your legs beautiful ?
    CHIyeah .
    MEL*MEL: what kind of things ?
    CHIuh # it's not at this house but somethin(g) white # that make your your legs beautiful .
    MELwhat do you do with it ?
  9. MOT+" what the heck is that smell .
    MOT+" it smells somethin(g) horrible .
    MOT*MOT: we had it on top of the washin(g) machine .
    MOTthe bakin(g) oven ?
    MOT(a)n(d) she went around playin(g) house (a)n(d) I was talkin(g) .
  10. CHIuh +...
    MOTwell # don't +...
    MEL*MEL: why do you think it's called a dog instead of being called a # cat ?
    CHIhunm # uhuh .
    CHII don't want [?] any [?] .
  11. MOTyesterday before I went out she took the Dutch Cleanser ?
    MOTxxx ?
    MOT*MOT: she took a whole can of Dutch Cleanser and whoo # all over the floor # y(ou) know ?
    MOTthen she took a wet mop (a)n(d) put it on top # y(ou) know ?
    MOTI said +"/.

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown6.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.111,63911116.71

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

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