PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (900 utterances, 3,739 words searched).

  1. you were ? INV · eng_USA_Valian/13b.cha, line 86 · 13B 2;04
  2. we were up in the country, and we went to the # fair . MOT · eng_USA_Valian/13b.cha, line 766 · 13B 2;04
  3. what rides were you on, when we were at the fair ? MOT · eng_USA_Valian/13b.cha, line 788 · 13B 2;04
  4. what rides were you on, when we were at the fair ? MOT · eng_USA_Valian/13b.cha, line 788 · 13B 2;04
  5. which rides were you on ? MOT · eng_USA_Valian/13b.cha, line 821 · 13B 2;04
  6. where were you ? MOT · eng_USA_Valian/13b.cha, line 879 · 13B 2;04
  7. what names were on there ? MOT · eng_USA_Valian/13b.cha, line 1764 · 13B 2;04
  8. what names were on there ? MOT · eng_USA_Valian/13b.cha, line 1770 · 13B 2;04
  9. you don't want to tell Investigator what names were on there ? MOT · eng_USA_Valian/13b.cha, line 1778 · 13B 2;04
  10. you don't want to tell Investigator what names were on the football ? MOT · eng_USA_Valian/13b.cha, line 2463 · 13B 2;04
  11. they were the names of all of my students, in one of my classes . MOT · eng_USA_Valian/13b.cha, line 2474 · 13B 2;04
  1. CHIyeah .
    CHII was worried about you .
    INV*INV: you were ?
    INVwhy ?
    CHIbecause you and daddy came not with the car, with the school bus .
  2. CHIwhere, where was it ?
    MOTremember ?
    MOT*MOT: we were up in the country, and we went to the # fair .
    CHIwhat did we see ?
    MOTthere was a little rollercoaster at the fair .
  3. MOTwell, we will see it again .
    MOTbut not very soon .
    MOT*MOT: what rides were you on, when we were at the fair ?
    CHIMichael and Amber .
    CHIwho was it ?
  4. MOTyou remember the rides you went on ?
    CHIyeah .
    MOT*MOT: which rides were you on ?
    CHI[- burps] uh .
    MOTwhat was that ?
  5. INVwhere +/?
    CHIwhere were you ?
    MOT*MOT: where were you ?
    CHIwhere were you, Investigator ?
    INVI was at work .
  6. MOTshow them to Investigator .
    MOTthere, oh, they're all smudged .
    MOT*MOT: what names were on there ?
    CHIwhere are, where are the names ?
    MOTthey're all smudged off .
  7. CHIwhere are, where are the names ?
    MOTthey're all smudged off .
    MOT*MOT: what names were on there ?
    CHII don't want to .
    MOToh .
  8. MOToh .
    CHII'm gonna throw it .
    MOT*MOT: you don't want to tell Investigator what names were on there ?
    CHIno .
    MOToh .
  9. MOTwhat's the football doing, huh ?
    CHIthrowing it to Investigator .
    MOT*MOT: you don't want to tell Investigator what names were on the football ?
    CHIno .
    MOTokay .
  10. MOTcan I tell her ?
    CHIyes .
    MOT*MOT: they were the names of all of my students, in one of my classes .
    MOTthey bought the football for him, and signed it .
    CHIMom ?

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. 13B eng_USA_Valian2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/13b.cha13B 2;4.083,73910112.94

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. were11 · 100.0%