PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 2,039 words searched).

  1. are we sure we want loud bangs at this time of day ? MOT · eng_british_Manchester_II/warr05a.cha, line 217 · Warren 1;11
  2. you're good at that now , aren't you ? MOT · eng_british_Manchester_II/warr05a.cha, line 329 · Warren 1;11
  3. he's probably right at the bottom . MOT · eng_british_Manchester_II/warr05a.cha, line 388 · Warren 1;11
  4. look at the basket . MOT · eng_british_Manchester_II/warr05a.cha, line 431 · Warren 1;11
  5. which dog did we see last week at Grandma's ? MOT · eng_british_Manchester_II/warr05a.cha, line 611 · Warren 1;11
  6. look at that . MOT · eng_british_Manchester_II/warr05a.cha, line 780 · Warren 1;11
  7. you're good at this jigsaw puzzle , aren't you ? MOT · eng_british_Manchester_II/warr05a.cha, line 1226 · Warren 1;11
  1. CHIWarren bang .
    CHIxxx bang .
    MOT*MOT: are we sure we want loud bangs at this time of day ?
    MOTit's turning over , isn't it ?
    CHIoh dear .
  2. CHIWarren do it .
    MOTyeah .
    MOT*MOT: you're good at that now , aren't you ?
    MOTwhoops .
    MOTflew off .
  3. MOTsee if you can fit [/] fit those together .
    MOTwonder where the rest of him is .
    MOT*MOT: he's probably right at the bottom .
    MOTthere's another bit .
    MOTand there's one more piece somewhere .
  4. MOTthat's not right .
    MOTthat one's not right there .
    MOT*MOT: look at the basket .
    MOTtry and finish off the front of the basket .
    CHIWarren go in there .
  5. CHIlook .
    MOTwhat dogs do you know ?
    MOT*MOT: which dog did we see last week at Grandma's ?
    CHIToby .
    MOTthat's right .
  6. MOTthat's a nice broken car .
    MOTI don't need to draw one if you've drawn one .
    MOT*MOT: look at that .
    MOTwhere's the broken car .
    CHII do a broken car there .
  7. MOTno .
    MOTnever mind .
    MOT*MOT: you're good at this jigsaw puzzle , aren't you ?
    MOTthere we go .
    CHIlook .

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. Warren eng_british_Manchester_II3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,039773.43

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. at7 · 100.0%