PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (625 utterances, 2,154 words searched).

  1. what about, wanna read one of these books ? MOT · eng_USA_Valian/03a.cha, line 121 · 03A 2;01
  2. and what are these ? MOT · eng_USA_Valian/03a.cha, line 227 · 03A 2;01
  3. what are these ? MOT · eng_USA_Valian/03a.cha, line 260 · 03A 2;01
  4. what are these things over here ? MOT · eng_USA_Valian/03a.cha, line 530 · 03A 2;01
  5. we have some of these . MOT · eng_USA_Valian/03a.cha, line 532 · 03A 2;01
  6. look at all these toys . MOT · eng_USA_Valian/03a.cha, line 1291 · 03A 2;01
  7. you want to play with these letters ? MOT · eng_USA_Valian/03a.cha, line 1466 · 03A 2;01
  8. and who are these two ? [+ V] MOT · eng_USA_Valian/03a.cha, line 1700 · 03A 2;01
  9. ok, wanna do these ? MOT · eng_USA_Valian/03a.cha, line 1773 · 03A 2;01
  1. INVgood .
    MOTwhy did it break ?
    MOT*MOT: what about, wanna read one of these books ?
    CHIcan you do that ?
    INVwhat are you doing ?
  2. MOThot dog .
    CHIhot dog .
    MOT*MOT: and what are these ?
    CHIpuppies .
    MOTpuppies .
  3. CHIpeach .
    MOTo:h, look .
    MOT*MOT: what are these ?
    MOTlook at this .
    MOTlook, what's that ?
  4. MOTwhat'd the policeman say, no more front seat ?
    CHIno more front seat .
    MOT*MOT: what are these things over here ?
    MOTwe have some of these .
    CHIducks !
  5. CHIno more front seat .
    MOTwhat are these things over here ?
    MOT*MOT: we have some of these .
    CHIducks !
    MOTducks .
  6. MOTwhat does that elephant look like ?
    CHII got a truck . [+ V]
    MOT*MOT: look at all these toys .
    MOTlook at this .
    CHI(a)nother one .
  7. CHIxxx .
    MOTyou wanna play with this ?
    MOT*MOT: you want to play with these letters ?
    MOThuh ?
    IN2xxx .
  8. CHIxxx .
    MOTxxx .
    MOT*MOT: and who are these two ? [+ V]
    MOTwho's that ?
    CHIxx .
  9. INVxxx .
    CHIxxx .
    MOT*MOT: ok, wanna do these ?
    INVxxx .
    MOTok, now you put them back and tell us what they are .

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. 03A eng_USA_Valian4.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/03a.cha03A 2;1.232,154994.18

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. these9 · 100.0%