PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

3.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (714 utterances, 3,251 words searched).

  1. she did put it on, honey . MOT · eng_USA_Valian/17b.cha, line 35 · 17B 2;05
  2. well sweetie, she's +... MOT · eng_USA_Valian/17b.cha, line 259 · 17B 2;05
  3. I think she wants you to draw a picture for her . MOT · eng_USA_Valian/17b.cha, line 285 · 17B 2;05
  4. does she sound like the lady on a record ? MOT · eng_USA_Valian/17b.cha, line 548 · 17B 2;05
  5. was she talking to you ? MOT · eng_USA_Valian/17b.cha, line 551 · 17B 2;05
  6. she can't see . MOT · eng_USA_Valian/17b.cha, line 607 · 17B 2;05
  7. she did ? MOT · eng_USA_Valian/17b.cha, line 696 · 17B 2;05
  8. no, she doesn't . MOT · eng_USA_Valian/17b.cha, line 1148 · 17B 2;05
  9. she's gonna have a heck of a time transcribing when you have the nookie [… MOT · eng_USA_Valian/17b.cha, line 1666 · 17B 2;05
  10. Child, maybe when we're all done playing with Investigator, maybe she'll let you listen to yourself for a minute or two . MOT · eng_USA_Valian/17b.cha, line 1775 · 17B 2;05
  11. when we're all done, she can do it, ok ? MOT · eng_USA_Valian/17b.cha, line 1797 · 17B 2;05
  12. she's gonna start crying in a minute . INV · eng_USA_Valian/17b.cha, line 1821 · 17B 2;05
  1. MOTdon't touch it .
    CHIput on . [+ V]
    MOT*MOT: she did put it on, honey .
    INVyeah .
    MOTsee it going round and round ?
  2. MOTxxx .
    CHIxxx .
    MOT*MOT: well sweetie, she's +...
    MOTyou can do painting after Investigator goes, ok ?
    MOTbecause we can't paint in the living room .
  3. MOTthe one on the basket ?
    CHIwant the basket .
    MOT*MOT: I think she wants you to draw a picture for her .
    MOTmaybe you can draw a circle for Investigator .
    CHI[- to inv] I gonna draw you a circle .
  4. INVI was singing on the radio, huh ?
    INVthis is very interesting .
    MOT*MOT: does she sound like the lady on a record ?
    MOTwas she talking to you ?
    CHIno, she wasn't .
  5. INVthis is very interesting .
    MOTdoes she sound like the lady on a record ?
    MOT*MOT: was she talking to you ?
    CHIno, she wasn't .
    MOToh [=! laughs] .
  6. MOTyes right, they are pretty, but +...
    MOTshow her .
    MOT*MOT: she can't see .
    INVoh, running shoes .
    MOTshow her your sneakers .
  7. CHIno .
    CHIyeah .
    MOT*MOT: she did ?
    CHIshe did, don't .
    CHIxxx .
  8. CHIsame kind of truck .
    CHIyou don't have your big coat .
    MOT*MOT: no, she doesn't .
    INVI don't have my what ?
    CHIhave your big coat on .
  9. MOTexcept now we can't hear you talk .
    CHIxxx .
    MOT*MOT: she's gonna have a heck of a time transcribing when you have the nookie [: pacifier] in your mouth .
    MOTis somebody tired ?
    CHIyeah .
  10. MOThe really laughs a lot .
    INV[- to CHI in a squeaky voice] yup, all day Sunday I was sitting there laughing at you, and you weren't even there [% CHI giggles] .
    MOT*MOT: Child, maybe when we're all done playing with Investigator, maybe she'll let you listen to yourself for a minute or two .
    INVwould you like to listen ?
    MOTwould you like to hear what you sound like on the tape recorder, on the radio ?
  11. CHIxxx tape recorder .
    MOTnot now .
    MOT*MOT: when we're all done, she can do it, ok ?
    MOTwe've got a little bit longer to talk .
    MOTcould you take your nookie [: pacifier] out of your mouth, please ?
  12. INVwhy don't you give it to Biddy ?
    INVI think Biddy needs it .
    INV*INV: she's gonna start crying in a minute .
    MOTChild [% makes crying noises for Biddy] .
    CHIxxx .

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. 17B eng_USA_Valian3.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17b.cha17B 2;5.213,25112123.69

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. she12 · 100.0%