PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

19.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (90 utterances, 353 words searched).

  1. no # this is my spoon . MOT · eng_USA_Brown/eve08.cha, line 78 · Eve 1;09
  2. no # he's not at Emerson making pennies . MOT · eng_USA_Brown/eve08.cha, line 150 · Eve 1;09
  3. tapioca # I'm sorry there is no tapioca . MOT · eng_USA_Brown/eve08.cha, line 260 · Eve 1;09
  4. there is no tapioca . MOT · eng_USA_Brown/eve08.cha, line 268 · Eve 1;09
  5. there is no tapioca for lunch . MOT · eng_USA_Brown/eve08.cha, line 283 · Eve 1;09
  6. there is no tapioca . MOT · eng_USA_Brown/eve08.cha, line 321 · Eve 1;09
  7. no what ? MOT · eng_USA_Brown/eve08.cha, line 412 · Eve 1;09
  1. CHIthat ?
    CHIthat Fraser spoon .
    MOT*MOT: no # this is my spoon .
    MOTwhere Fraser's spoon ?
    MOTeh ?
  2. MOTwhere is Papa ?
    CHIEmma make penny .
    MOT*MOT: no # he's not at Emerson making pennies .
    MOTwhere'd he go ?
    CHIChicago .
  3. CHIthat Fraser paper .
    CHItapioca .
    MOT*MOT: tapioca # I'm sorry there is no tapioca .
    CHIwant tapioca .
    MOTthere is no tapioca .
  4. MOTtapioca # I'm sorry there is no tapioca .
    CHIwant tapioca .
    MOT*MOT: there is no tapioca .
    CHIwant tap .
    MOTtomorrow I'll make some for you .
  5. CHIwant tapioca lunch .
    CHIwant tapioca lunch .
    MOT*MOT: there is no tapioca for lunch .
    MOTI'm sorry .
    CHII ride a funny clown .
  6. MOTstraighten the rug .
    CHIwant tapioca .
    MOT*MOT: there is no tapioca .
    MOTwe'll make some this afternoon .
    CHItapioca .
  7. MOThere .
    CHI<no no no> [/] no .
    MOT*MOT: no what ?
    CHIno piece a cheese .
    CHIthat ?

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_Brown19.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve08.chaEve 1;9.3537719.83

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. no7 · 100.0%