PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (281 utterances, 974 words searched).

  1. how do you get it out ? MOT · eng_USA_Bliss/norjusti.cha, line 16 · Justin 4;06
  2. how do you get the pieces out ? MOT · eng_USA_Bliss/norjusti.cha, line 19 · Justin 4;06
  3. come over here and tell me how many balls on that page . MOT · eng_USA_Bliss/norjusti.cha, line 265 · Justin 4;06
  4. how many ? MOT · eng_USA_Bliss/norjusti.cha, line 377 · Justin 4;06
  5. how many stars on that ball ? MOT · eng_USA_Bliss/norjusti.cha, line 843 · Justin 4;06
  6. how many should we use this time ? FAT · eng_USA_Bliss/norjusti.cha, line 1095 · Justin 4;06
  7. how many do you wanna get this time ? FAT · eng_USA_Bliss/norjusti.cha, line 1102 · Justin 4;06
  8. how many turns do you want ? FAT · eng_USA_Bliss/norjusti.cha, line 1526 · Justin 4;06
  1. MOTwanna take it apart first ?
    CHIright here +...
    MOT*MOT: how do you get it out ?
    MOThow do you get the pieces out ?
    MOTlike this ?
  2. CHIright here +...
    MOThow do you get it out ?
    MOT*MOT: how do you get the pieces out ?
    MOTlike this ?
    CHIyeah .
  3. CHIyeah .
    MOTokay .
    MOT*MOT: come over here and tell me how many balls on that page .
    CHIone .
    MOTokay .
  4. MOTmhm .
    CHIseven grand pianos .
    MOT*MOT: how many ?
    MOTcan you count em ?
    CHIseven pitchers .
  5. MOTnumber three .
    CHIyeah .
    MOT*MOT: how many stars on that ball ?
    CHIone two three four five six seven eight nine ten eleven twelve thirteen fourteen fifteen sixteen !
    MOTsixteen stars .
  6. FATsquares ?
    CHIyep .
    FAT*FAT: how many should we use this time ?
    CHIwhat ?
    FAThow many do you wanna get this time ?
  7. FAThow many should we use this time ?
    CHIwhat ?
    FAT*FAT: how many do you wanna get this time ?
    FATjust a few ?
    CHIwhat ?
  8. CHIoh .
    FATwait a minute !
    FAT*FAT: how many turns do you want ?
    CHI0 .
    FAThm: .

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. Justin eng_USA_Bliss8.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bliss/norjusti.chaJustin 4;06.974888.21

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. how8 · 100.0%