PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,679 words searched).

  1. what's this one ? MOT · eng_british_Manchester_II/liz02a.cha, line 34 · Liz 1;11
  2. what's that ? MOT · eng_british_Manchester_II/liz02a.cha, line 130 · Liz 1;11
  3. what's broken sweetheart ? MOT · eng_british_Manchester_II/liz02a.cha, line 347 · Liz 1;11
  4. what's that you're drawing ? MOT · eng_british_Manchester_II/liz02a.cha, line 477 · Liz 1;11
  5. what's in this picture ? MOT · eng_british_Manchester_II/liz02a.cha, line 914 · Liz 1;11
  6. and what's this here ? MOT · eng_british_Manchester_II/liz02a.cha, line 948 · Liz 1;11
  7. and what's he been doing ? MOT · eng_british_Manchester_II/liz02a.cha, line 973 · Liz 1;11
  8. what's that ? MOT · eng_british_Manchester_II/liz02a.cha, line 1179 · Liz 1;11
  9. what's that ? MOT · eng_british_Manchester_II/liz02a.cha, line 1356 · Liz 1;11
  1. MOTthe red one's still missing .
    MOTcan you see that one ?
    MOT*MOT: what's this one ?
    CHIblue .
    MOTmmhm .
  2. MOTa teddy bear ?
    MOToh: that's nice .
    MOT*MOT: what's that ?
    MOToh here's the postman .
    MOTdo you think there'll be any for us ?
  3. INVoh: no hands .
    CHIbroken .
    MOT*MOT: what's broken sweetheart ?
    CHIbroken .
    CHIbroken .
  4. CHI<pen> [>] .
    MOT<whoops> [<] .
    MOT*MOT: what's that you're drawing ?
    CHIteddy .
    MOTa teddy ?
  5. MOTHarold_the_Helicopter .
    MOToh: there's a little man stuck on the front .
    MOT*MOT: what's in this picture ?
    CHIrabbits .
    MOTrabbits ?
  6. MOTthat's right .
    MOTthat's Harold_the_Helicopter .
    MOT*MOT: and what's this here ?
    MOToh: .
    MOToh: .
  7. CHIThomas_Tank .
    MOTmmhm .
    MOT*MOT: and what's he been doing ?
    CHIThomas_Tank .
    MOTyeah .
  8. MOTwhat're you saying love ?
    CHIxxx .
    MOT*MOT: what's that ?
    CHIxxx .
    MOTsorry I don't know what you're saying .
  9. CHItwo .
    MOToh look .
    MOT*MOT: what's that ?
    MOTare you going to draw something ?
    CHIno .

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. Liz eng_british_Manchester_II5.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679995.36

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. what's9 · 100.0%