PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,451 words searched).

  1. hasn't Anna got a lot of toys ? MOT · eng_british_Manchester_II/liz04b.cha, line 28 · Liz 2;00
  2. that's one way of emptying it . MOT · eng_british_Manchester_II/liz04b.cha, line 222 · Liz 2;00
  3. there's one of these . MOT · eng_british_Manchester_II/liz04b.cha, line 297 · Liz 2;00
  4. more one of these ? MOT · eng_british_Manchester_II/liz04b.cha, line 486 · Liz 2;00
  5. perhaps if we use some of these great big ones . MOT · eng_british_Manchester_II/liz04b.cha, line 499 · Liz 2;00
  6. it could go on top of there . MOT · eng_british_Manchester_II/liz04b.cha, line 761 · Liz 2;00
  7. yes came out of the tunnel . MOT · eng_british_Manchester_II/liz04b.cha, line 1115 · Liz 2;00
  1. CHIwhat 0has [*] she got ?
    MOTwhat's she got ?
    MOT*MOT: hasn't Anna got a lot of toys ?
    CHIlot of toys .
    MOTyeah .
  2. CHIall gone .
    MOToh: .
    MOT*MOT: that's one way of emptying it .
    MOTall this shopping .
    MOTwow .
  3. CHImore .
    MOTI don't know if there is more fish .
    MOT*MOT: there's one of these .
    MOTwhat's this ?
    CHIpenguin .
  4. CHImore .
    MOTmore what ?
    MOT*MOT: more one of these ?
    CHIyeah .
    MOTanother cage ?
  5. MOTokay .
    MOTwe'll see if we've got enough bricks left .
    MOT*MOT: perhaps if we use some of these great big ones .
    CHIbig .
    MOToh don't stand on it because they hurt your toes , don't they ?
  6. CHI<one go> [/] one go in there .
    MOTno it's too big darling .
    MOT*MOT: it could go on top of there .
    MOTthat's right .
    MOTit can go on there , can't it ?
  7. MOTyeah that's his face , isn't it ?
    CHIout tunnel .
    MOT*MOT: yes came out of the tunnel .
    CHIout the tunnel .
    MOTyeah .

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_II4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz04b.chaLiz 2;0.141,451774.82

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.

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