PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,309 words searched).

  1. how many are there ? MOT · eng_USA_Valian/19a.cha, line 327 · 19A 2;08
  2. how many cups do you think there are here ? MOT · eng_USA_Valian/19a.cha, line 451 · 19A 2;08
  3. how many cups of tea are there here [% interrupted by CHI] ? MOT · eng_USA_Valian/19a.cha, line 468 · 19A 2;08
  4. how many spoons are there ? MOT · eng_USA_Valian/19a.cha, line 548 · 19A 2;08
  5. how many spoons are up here ? MOT · eng_USA_Valian/19a.cha, line 1145 · 19A 2;08
  1. CHIxx purple xx .
    CHIxxx fork and knives .
    MOT*MOT: how many are there ?
    CHIone, two, three, four, five .
    MOToh, watch [//] one, two, three knives .
  2. CHI# no more .
    MOTno more .
    MOT*MOT: how many cups do you think there are here ?
    CHIthat was the dish+washer making noise .
    MOToh, was it ?
  3. CHIuhhuh .
    CHIcan you have some more tea ?
    MOT*MOT: how many cups of tea are there here [% interrupted by CHI] ?
    CHIcan I have some more tea ?
    MOTno [% CHI laughs] .
  4. MOTI have some spoons .
    CHIno .
    MOT*MOT: how many spoons are there ?
    CHIone two three four of them ?
    MOToh [=? no], watch, there are three, aren't there ?
  5. MOToh there they are .
    MOTlet me ask you something .
    MOT*MOT: how many spoons are up here ?
    CHIxxx .
    MOTmhm .

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. 19A eng_USA_Valian3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309553.82

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. many5 · 100.0%