PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (965 utterances, 4,204 words searched).

  1. <it's not> [//] it looks like a zebra to me . INV · eng_USA_Valian/18a.cha, line 57 · 18A 2;05
  2. is that a zebra or a horse ? INV · eng_USA_Valian/18a.cha, line 59 · 18A 2;05
  3. that's a zebra . INV · eng_USA_Valian/18a.cha, line 650 · 18A 2;05
  4. that's a zebra, right . MOT · eng_USA_Valian/18a.cha, line 652 · 18A 2;05
  5. then what's this [% the zebra] ? INV · eng_USA_Valian/18a.cha, line 807 · 18A 2;05
  6. and that's a zebra . INV · eng_USA_Valian/18a.cha, line 848 · 18A 2;05
  7. now, is that a zebra ? INV · eng_USA_Valian/18a.cha, line 940 · 18A 2;05
  8. that's a zebra [% a squeaking toy] . INV · eng_USA_Valian/18a.cha, line 952 · 18A 2;05
  9. is that a zebra there ? INV · eng_USA_Valian/18a.cha, line 971 · 18A 2;05
  10. that's the first zebra, right . INV · eng_USA_Valian/18a.cha, line 973 · 18A 2;05
  11. well, that's a zebra, but I don't think that's really a zebra . MOT · eng_USA_Valian/18a.cha, line 987 · 18A 2;05
  12. well, that's a zebra, but I don't think that's really a zebra . MOT · eng_USA_Valian/18a.cha, line 987 · 18A 2;05
  13. and which one's the zebra in there ? INV · eng_USA_Valian/18a.cha, line 1034 · 18A 2;05
  14. a zebra [=! laughter] . MOT · eng_USA_Valian/18a.cha, line 1289 · 18A 2;05
  1. MOTyeah .
    MOTwhat do you +...
    INV*INV: <it's not> [//] it looks like a zebra to me .
    INVis that a zebra or a horse ?
    CHIuh .
  2. MOTwhat do you +...
    INV<it's not> [//] it looks like a zebra to me .
    INV*INV: is that a zebra or a horse ?
    CHIuh .
    INVokay, I think I'm gonna keep taking a few out .
  3. CHI<this a &eleph> [/] this is a elephant [=! laughter] .
    CHIdat's not xx .
    INV*INV: that's a zebra .
    MOTthat's a zebra, right .
    CHIwant to ask Investigator, he have a other toy .
  4. CHIdat's not xx .
    INVthat's a zebra .
    MOT*MOT: that's a zebra, right .
    CHIwant to ask Investigator, he have a other toy .
    MOTokay .
  5. INVthen what is this ?
    CHIa zebra [% inv picked up the other horse] [=! laughter] .
    INV*INV: then what's this [% the zebra] ?
    CHIa zebra .
    INVthen what's this ?
  6. INVthen how come this one doesn't have stripes ?
    CHIthis one doesn't have any, this one has stripes .
    INV*INV: and that's a zebra .
    INVwhat's this ?
    CHIa zebra [=! laughter] .
  7. CHIthey might all fall down .
    CHIxxx .
    INV*INV: now, is that a zebra ?
    CHIno .
    MOTwhy might they all fall down, honey ?
  8. INV# they might roll .
    CHI# they might roll # .
    INV*INV: that's a zebra [% a squeaking toy] .
    CHIno # .
    INVwhat's that ?
  9. MOTuhhuh .
    CHInow I'm gonna put them back [=! laughter] .
    INV*INV: is that a zebra there ?
    INVthat's the first zebra, right .
    CHIno .
  10. CHInow I'm gonna put them back [=! laughter] .
    INVis that a zebra there ?
    INV*INV: that's the first zebra, right .
    CHIno .
    CHIthis is not, this not zebra .
  11. MOTat least she's consistent .
    CHIthis a other zebra ?
    MOT*MOT: well, that's a zebra, but I don't think that's really a zebra .
    MOTdo you know why ?
    CHIyeah .
  12. CHIthat one .
    MOTmm hmm .
    INV*INV: and which one's the zebra in there ?
    CHIxxx .
    MOTdoes Projectdirector have any, um, techniques that she has you do to elicit any particular kind of +...
  13. MOTwhat's that ?
    CHIa a zebra [% no zebras in the book] .
    MOT*MOT: a zebra [=! laughter] .
    CHIxxx .
    INVwhere's its stripes ?

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. 18A eng_USA_Valian3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/18a.cha18A 2;5.4,20413143.33

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.

  1. zebra14 · 100.0%