PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (654 utterances, 3,015 words searched).

  1. we don't know about that one . INV · eng_USA_Valian/01a.cha, line 493 · 01A 2;01
  2. what about chickens ? MOT · eng_USA_Valian/01a.cha, line 642 · 01A 2;01
  3. what about Tot Time ? MOT · eng_USA_Valian/01a.cha, line 1254 · 01A 2;01
  4. let's see, where's the book about eating lunch ? MOT · eng_USA_Valian/01a.cha, line 1832 · 01A 2;01
  5. I thought this was the one you were talking about . MOT · eng_USA_Valian/01a.cha, line 1837 · 01A 2;01
  6. she was worried about her baby . MOT · eng_USA_Valian/01a.cha, line 2053 · 01A 2;01
  7. what about Baba ? MOT · eng_USA_Valian/01a.cha, line 2127 · 01A 2;01
  8. it's been about a half an hour . INV · eng_USA_Valian/01a.cha, line 2215 · 01A 2;01
  1. MOTmaybe peanut butter .
    MOTmaybe a peanut butter sandwich .
    INV*INV: we don't know about that one .
    CHIlet birdie in .
    CHIbirdie +...
  2. MOTthat's right, Baba .
    CHIegg, Baba, egg, Baba, Baba .
    MOT*MOT: what about chickens ?
    CHIegg .
    MOTthey come out of eggs .
  3. CHITot Time .
    CHITot .
    MOT*MOT: what about Tot Time ?
    CHIthese at Tot, these at Tot Time .
    MOTyes there's a toy +...
  4. INV&=laugh .
    MOTdo you wanna look at the +//.
    MOT*MOT: let's see, where's the book about eating lunch ?
    MOTyou brought that upstairs .
    MOTI thought this was the one you were talking about .
  5. MOTlet's see, where's the book about eating lunch ?
    MOTyou brought that upstairs .
    MOT*MOT: I thought this was the one you were talking about .
    MOTwhat a good lunch .
    MOTare you more interested in the babies [% CHI is looking at a flyer that came from a box of Pampers] ?
  6. MOTbig hug .
    MOTbecause she's glad to see him again .
    MOT*MOT: she was worried about her baby .
    MOTbut he came back, he was fine, he just had an adventure .
    MOTdo you know what these are ?
  7. CHIBaba .
    CHIBaba .
    MOT*MOT: what about Baba ?
    CHIxx hair ?
    MOTshe has hair .
  8. INVxxx .
    MOTvery strange names xxx .
    INV*INV: it's been about a half an hour .
    INVxxx .

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. 01A eng_USA_Valian2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/01a.cha01A 2;1.033,015882.65

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. about8 · 100.0%