PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (744 utterances, 2,861 words searched).

  1. thank you very much . COL · eng_USA_Brown/eve07.cha, line 260 · Eve 1;09
  2. it's not very good . MOT · eng_USA_Brown/eve07.cha, line 981 · Eve 1;09
  3. not very far . MOT · eng_USA_Brown/eve07.cha, line 1134 · Eve 1;09
  4. not very far . MOT · eng_USA_Brown/eve07.cha, line 1137 · Eve 1;09
  5. not very good . MOT · eng_USA_Brown/eve07.cha, line 1163 · Eve 1;09
  6. no # that wasn't very good . MOT · eng_USA_Brown/eve07.cha, line 1166 · Eve 1;09
  7. not very good . MOT · eng_USA_Brown/eve07.cha, line 1298 · Eve 1;09
  8. thank you very much . COL · eng_USA_Brown/eve07.cha, line 2517 · Eve 1;09
  9. thank you very much . COL · eng_USA_Brown/eve07.cha, line 3549 · Eve 1;09
  1. MOTI had sugar in my coffee .
    MOTI don't need any more sugar # Eve .
    COL*COL: thank you very much .
    COLI'll just have some coffee .
    CHIjust have # grape juice .
  2. CHIEve +...
    MOTdo you want to taste it ?
    MOT*MOT: it's not very good .
    MOTlet's see if Sarah would like to have a drink +...
    CHIEve want some too .
  3. CHIgo her tummy .
    CHII fall down .
    MOT*MOT: not very far .
    MOTnot very far .
    CHII try (a)gain .
  4. CHII fall down .
    MOTnot very far .
    MOT*MOT: not very far .
    CHII try (a)gain .
    MOTwhat ?
  5. MOTwhat ?
    CHInot very good .
    MOT*MOT: not very good .
    MOTno # that wasn't very good .
    CHIEve .
  6. CHInot very good .
    MOTnot very good .
    MOT*MOT: no # that wasn't very good .
    CHIEve .
    MOTwhat about Eve ?
  7. MOTokay .
    CHInot very good .
    MOT*MOT: not very good .
    MOTno .
    CHII try it again .
  8. CHIcame # take sugar .
    MOTyou're going to give the sugar to Fraser .
    COL*COL: thank you very much .
    CHImore grape juice .
    MOTmore ?
  9. MOTwhat is that ?
    CHIthat Fraser spoon .
    COL*COL: thank you very much .
    COLwhat am I supposed to do with it ?
    MOTthank you .

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_Brown3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve07.chaEve 1;9.2,861993.15

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. very9 · 100.0%