PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (348 utterances, 1,551 words searched).

  1. tryin(g) to make a what ? MOT · eng_USA_Brown/sarah052.cha, line 159 · Sarah 3;03
  2. can you make Millisandy talk ? KEN · eng_USA_Brown/sarah052.cha, line 284 · Sarah 3;03
  3. do you want me to make an o@l ? KEN · eng_USA_Brown/sarah052.cha, line 1230 · Sarah 3;03
  4. make s@l ? KEN · eng_USA_Brown/sarah052.cha, line 1306 · Sarah 3;03
  5. make the other s@l ? KEN · eng_USA_Brown/sarah052.cha, line 1322 · Sarah 3;03
  1. MOTxxx .
    CHII yyy .
    MOT*MOT: tryin(g) to make a what ?
    KENwhat did you say Bugs ?
    KENno she's not .
  2. KENI want to talk to Millisandy .
    CHIhere # Misy@f [= Millisandy] .
    KEN*KEN: can you make Millisandy talk ?
    MOThold Millisandy .
    KENhow was your birthday party # Millisandy ?
  3. CHIgood <&pi> [//] &pi +...
    CHImake an o@l .
    KEN*KEN: do you want me to make an o@l ?
    KENthere is an o@l .
    KENdo you know what this is ?
  4. CHIp@l # p@l # aah # t@l # aah xxx .
    CHImake s@l .
    KEN*KEN: make s@l ?
    CHIyeah .
    CHIs@l .
  5. KENthat's s@l .
    CHImake the other s@l .
    KEN*KEN: make the other s@l ?
    KENthe little s@l ?
    KENthe little s@l looks like that .

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. Sarah eng_USA_Brown3.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,551553.22

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. make5 · 100.0%