PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

4.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (639 utterances, 3,114 words searched).

  1. I didn't know how strong you like it . MOT · eng_USA_Valian/06b.cha, line 180 · 06B 2;03
  2. how many eyes does he have ? MOT · eng_USA_Valian/06b.cha, line 298 · 06B 2;03
  3. how many ? MOT · eng_USA_Valian/06b.cha, line 302 · 06B 2;03
  4. [- laughing] how many eyes do you have ? MOT · eng_USA_Valian/06b.cha, line 321 · 06B 2;03
  5. can you remember how those go . MOT · eng_USA_Valian/06b.cha, line 635 · 06B 2;03
  6. how many of them are there ? MOT · eng_USA_Valian/06b.cha, line 881 · 06B 2;03
  7. how are you gonna get down ? MOT · eng_USA_Valian/06b.cha, line 1092 · 06B 2;03
  8. show Investigator how strong you are . MOT · eng_USA_Valian/06b.cha, line 1784 · 06B 2;03
  9. I don't know how much longer xx . MOT · eng_USA_Valian/06b.cha, line 1856 · 06B 2;03
  10. you wanna show Investigator how you put that table up ? MOT · eng_USA_Valian/06b.cha, line 2037 · 06B 2;03
  11. how's that table go ? MOT · eng_USA_Valian/06b.cha, line 2040 · 06B 2;03
  12. how do you get it to stay up though ? MOT · eng_USA_Valian/06b.cha, line 2054 · 06B 2;03
  13. how do you hold it up ? MOT · eng_USA_Valian/06b.cha, line 2057 · 06B 2;03
  14. how do you keep it up there ? MOT · eng_USA_Valian/06b.cha, line 2066 · 06B 2;03
  1. CHIxxx .
    MOT[- mother brings tea to Investigator] you can make this to suit yourself .
    MOT*MOT: I didn't know how strong you like it .
    MOTmaybe you can use one of Child's tea dishes for your tea bag .
    INVwhat a good idea .
  2. MOTyeah .
    CHIxx eyes .
    MOT*MOT: how many eyes does he have ?
    CHIeyes .
    MOThow many ?
  3. MOThow many eyes does he have ?
    CHIeyes .
    MOT*MOT: how many ?
    CHIthree .
    MOTwhere ?
  4. MOTwhere's three ?
    CHI[- pointing to trunk] there .
    MOT*MOT: [- laughing] how many eyes do you have ?
    CHItwo .
    MOTtwo .
  5. MOTxxx .
    MOTyour name is Child, Child .
    MOT*MOT: can you remember how those go .
    MOToh, oh, gentle with J_P .
    MOTlet's see gentleness here .
  6. MOTstrawberries !
    CHIyeah !
    MOT*MOT: how many of them are there ?
    CHIxxx .
    CHII blow my nose .
  7. MOTdon't hang on ok ?
    MOTjust concentrate on your balance .
    MOT*MOT: how are you gonna get down ?
    CHI[- laughing] do again !
    CHIxxx .
  8. CHIyeah .
    MOTalright, J_P, pull it .
    MOT*MOT: show Investigator how strong you are .
    MOThold on .
    MOTChild, you hold on as tight as you can .
  9. MOTok, all right, let her rip [% more frisbee tug] .
    MOTdo you wanna move into the xx .
    MOT*MOT: I don't know how much longer xx .
    INVwell, there isn't that much longer .
    INVwell, if she's gonna come back in, I won't move, but xx .
  10. MOTwhat have you got there ?
    CHIxxx .
    MOT*MOT: you wanna show Investigator how you put that table up ?
    MOThow's that table go ?
    INVlook at that !
  11. CHIxxx .
    MOTyou wanna show Investigator how you put that table up ?
    MOT*MOT: how's that table go ?
    INVlook at that !
    INVthat's amazing !
  12. INVuh, that's hard work .
    CHIxxx .
    MOT*MOT: how do you get it to stay up though ?
    MOThow do you hold it up ?
    MOTwhat do you have to do to keep it up ?
  13. CHIxxx .
    MOThow do you get it to stay up though ?
    MOT*MOT: how do you hold it up ?
    MOTwhat do you have to do to keep it up ?
    CHIright there .
  14. CHIright there .
    MOTthat's gonna fall .
    MOT*MOT: how do you keep it up there ?
    MOTwhat do you have to do ?
    CHIthe other thing [=? part] .

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. 06B eng_USA_Valian4.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/06b.cha06B 2;3.153,11414144.50

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. how14 · 100.0%