PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

8.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (283 utterances, 1,293 words searched).

  1. what will she buy ? GAI · eng_USA_Brown/sarah098.cha, line 83 · Sarah 4;02
  2. will she buy a present for you with the bill ? GAI · eng_USA_Brown/sarah098.cha, line 87 · Sarah 4;02
  3. she made a t@l this morning . MOT · eng_USA_Brown/sarah098.cha, line 147 · Sarah 4;02
  4. she was all excited . MOT · eng_USA_Brown/sarah098.cha, line 149 · Sarah 4;02
  5. she didn't expect it to come out # I guess and look like a t@l . MOT · eng_USA_Brown/sarah098.cha, line 151 · Sarah 4;02
  6. long as she couldn't tell why this isn't a z@l . MEL · eng_USA_Brown/sarah098.cha, line 383 · Sarah 4;02
  7. she made a mess of herself ? GAI · eng_USA_Brown/sarah098.cha, line 529 · Sarah 4;02
  8. I knew that was a@l natural when she said c@l a@l . MOT · eng_USA_Brown/sarah098.cha, line 718 · Sarah 4;02
  9. she would say something and Sarah would have to repeat it back . MOT · eng_USA_Brown/sarah098.cha, line 846 · Sarah 4;02
  10. she'd look at her # y(ou) know . MOT · eng_USA_Brown/sarah098.cha, line 856 · Sarah 4;02
  11. she's never been to the dentist . MOT · eng_USA_Brown/sarah098.cha, line 1128 · Sarah 4;02
  1. eng_USA_Brown/sarah098.cha, line 83 · Sarah, 4;2.28
    MOT+" Nana # you can spend it all # too .
    CHII said # you can spend it .
    GAI*GAI: what will she buy ?
    CHIfor me .
    GAIwill she buy a present for you with the bill ?
  2. eng_USA_Brown/sarah098.cha, line 87 · Sarah, 4;2.28
    GAIwhat will she buy ?
    CHIfor me .
    GAI*GAI: will she buy a present for you with the bill ?
    MELmodesty takes over .
    CHIum .
  3. eng_USA_Brown/sarah098.cha, line 147 · Sarah, 4;2.28
    CHIgi(ve) me my alphabet .
    CHIt@l # r@l # e@l # g@l .
    MOT*MOT: she made a t@l this morning .
    MOTshe was all excited .
    MOTshe didn't expect it to come out # I guess and look like a t@l .
  4. eng_USA_Brown/sarah098.cha, line 149 · Sarah, 4;2.28
    CHIt@l # r@l # e@l # g@l .
    MOTshe made a t@l this morning .
    MOT*MOT: she was all excited .
    MOTshe didn't expect it to come out # I guess and look like a t@l .
    CHII know how to do an e@l .
  5. eng_USA_Brown/sarah098.cha, line 151 · Sarah, 4;2.28
    MOTshe made a t@l this morning .
    MOTshe was all excited .
    MOT*MOT: she didn't expect it to come out # I guess and look like a t@l .
    CHII know how to do an e@l .
    CHIthat's so easy .
  6. eng_USA_Brown/sarah098.cha, line 383 · Sarah, 4;2.28
    CHIthere's only one .
    CHII can write that # n@l # n@l .
    MEL*MEL: long as she couldn't tell why this isn't a z@l .
    CHII know how to spell cat .
    CHIwhat is that ?
  7. eng_USA_Brown/sarah098.cha, line 529 · Sarah, 4;2.28
    CHIcurly hair # curly hair .
    CHIhe made a mess of herself .
    GAI*GAI: she made a mess of herself ?
    CHIuhhuh .
    CHII can make a children .
  8. eng_USA_Brown/sarah098.cha, line 718 · Sarah, 4;2.28
    MELno .
    CHIdog # cat .
    MOT*MOT: I knew that was a@l natural when she said c@l a@l .
    MELit spells jam .
    MELjam .
  9. eng_USA_Brown/sarah098.cha, line 846 · Sarah, 4;2.28
    MOTthat sounds like when uh +...
    MOTI think it was Courtney one day had a list .
    MOT*MOT: she would say something and Sarah would have to repeat it back .
    MOTlike yyy # yyy # yyy .
    MOTsome darn thing .
  10. eng_USA_Brown/sarah098.cha, line 856 · Sarah, 4;2.28
    MOTsome darn thing .
    MOTI don't know what it was .
    MOT*MOT: she'd look at her # y(ou) know .
    CHIwhat is dis ?
    MELoh now you know .
  11. eng_USA_Brown/sarah098.cha, line 1128 · Sarah, 4;2.28
    CHIeyeglasses for cuts .
    CHIneedle # doctor # xxx .
    MOT*MOT: she's never been to the dentist .
    CHIthat's the wrong way ?
    MOTyou're right # that's the wrong way .

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_Brown8.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah098.chaSarah 4;2.281,29311118.51

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. she11 · 100.0%