PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

3.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (932 utterances, 3,866 words searched).

  1. what did you do this morning # while I was gone ? FAT · eng_USA_Brown/eve15.cha, line 1627 · Eve 2;01
  2. who was the cake for ? FAT · eng_USA_Brown/eve15.cha, line 1646 · Eve 2;01
  3. did you tell Fraser who was here last week ? FAT · eng_USA_Brown/eve15.cha, line 1790 · Eve 2;01
  4. who was visiting us last week ? MOT · eng_USA_Brown/eve15.cha, line 1795 · Eve 2;01
  5. who was staying in our house ? MOT · eng_USA_Brown/eve15.cha, line 1798 · Eve 2;01
  6. the airplane was in the airport . MOT · eng_USA_Brown/eve15.cha, line 1892 · Eve 2;01
  7. the airplane was there . MOT · eng_USA_Brown/eve15.cha, line 1898 · Eve 2;01
  8. well that was nice of Becky . MOT · eng_USA_Brown/eve15.cha, line 2640 · Eve 2;01
  9. where was it ? MOT · eng_USA_Brown/eve15.cha, line 2887 · Eve 2;01
  10. it was still fizzing . MOT · eng_USA_Brown/eve15.cha, line 2946 · Eve 2;01
  11. was she crying ? MOT · eng_USA_Brown/eve15.cha, line 3230 · Eve 2;01
  12. how was Sarah ? COL · eng_USA_Brown/eve15.cha, line 4021 · Eve 2;01
  13. what I was having on my nose ? MOT · eng_USA_Brown/eve15.cha, line 4756 · Eve 2;01
  14. I was rubbing my eyes . MOT · eng_USA_Brown/eve15.cha, line 4764 · Eve 2;01
  15. don't know what it was . MOT · eng_USA_Brown/eve15.cha, line 4778 · Eve 2;01
  1. MOTEve # what did you do this morning ?
    FATtell Pop .
    FAT*FAT: what did you do this morning # while I was gone ?
    CHII play in the sandbox .
    FATwhat did you make in the sandbox ?
  2. FATwhat did you make in the sandbox ?
    CHIa birthday cake with Becky an(d) with Cathy .
    FAT*FAT: who was the cake for ?
    CHIfor [/] for # a horse had [/] <had (t)a> [/] have a drink of water .
    MOTthe horse had (t)a have a drink of water ?
  3. FATdid you tell Fraser what you did yesterday ?
    CHIwhat ?
    FAT*FAT: did you tell Fraser who was here last week ?
    MOTwho was visiting us last week ?
    MOTwho was staying in our house ?
  4. CHIwhat ?
    FATdid you tell Fraser who was here last week ?
    MOT*MOT: who was visiting us last week ?
    MOTwho was staying in our house ?
    CHIGranpa an(d) Granny .
  5. FATdid you tell Fraser who was here last week ?
    MOTwho was visiting us last week ?
    MOT*MOT: who was staying in our house ?
    CHIGranpa an(d) Granny .
    MOTthat's right .
  6. MOTin the airport ?
    MOTno .
    MOT*MOT: the airplane was in the airport .
    CHIeh ?
    MOTthe airplane was there .
  7. MOTthe airplane was in the airport .
    CHIeh ?
    MOT*MOT: the airplane was there .
    MOTwe saw it # didn't we ?
    CHIwe saw it .
  8. MOTdid Becky share her raisins with you this morning ?
    CHIyep .
    MOT*MOT: well that was nice of Becky .
    CHISue # I goin(g) have part an(d) Papa goin(g) have part .
    CHISue # <I want> [/] <I want> [/] I want +...
  9. CHII catch my bicycle an(d) I +...
    MOTdid you catch it ?
    MOT*MOT: where was it ?
    MOTcoming down the hill ?
    CHIyep .
  10. MOTyeah .
    MOTit's not finished yet .
    MOT*MOT: it was still fizzing .
    CHIwhere Sarah ?
    MOTshe's upstairs in her bed sleeping .
  11. CHIyeah .
    MOTwhy ?
    MOT*MOT: was she crying ?
    CHIyep .
    CHIan(d) we have xxx put water in the bucket .
  12. MOTthat's right .
    CHII go eat an ice cube .
    COL*COL: how was Sarah ?
    CHIin bed sleeping .
    CHII drink all my Fizzie .
  13. CHI<what you> [/] what you have on you nose +...
    CHIwhat [/] what you was having on you nose ?
    MOT*MOT: what I was having on my nose ?
    MOTnothing .
    MOTI was rubbing my eyes .
  14. MOTwhat I was having on my nose ?
    MOTnothing .
    MOT*MOT: I was rubbing my eyes .
    CHIhmm ?
    MOTI had something in my eye # not on my nose .
  15. MOTI had something in my eye # not on my nose .
    CHIwhat ?
    MOT*MOT: don't know what it was .
    MOTjust something .
    CHIeh ?

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. Eve eng_USA_Brown3.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve15.chaEve 2;1.3,86615153.88

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. was15 · 100.0%