PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 1,411 words searched).

  1. oh no that doesn't look like a monkey , does it ? MOT · eng_british_Manchester_II/liz05a.cha, line 85 · Liz 2;00
  2. what else does it have ? MOT · eng_british_Manchester_II/liz05a.cha, line 192 · Liz 2;00
  3. um does that look right ? MOT · eng_british_Manchester_II/liz05a.cha, line 496 · Liz 2;00
  4. does it look right the picture ? MOT · eng_british_Manchester_II/liz05a.cha, line 502 · Liz 2;00
  5. what else does he need ? MOT · eng_british_Manchester_II/liz05a.cha, line 1057 · Liz 2;00
  6. is that what Mummy does ? MOT · eng_british_Manchester_II/liz05a.cha, line 1329 · Liz 2;00
  1. eng_british_Manchester_II/liz05a.cha, line 85 · Liz, 2;0.21
    MOTmonkeys have long legs .
    MOTand long arms .
    MOT*MOT: oh no that doesn't look like a monkey , does it ?
    CHIpig .
    MOTmmhm .
  2. eng_british_Manchester_II/liz05a.cha, line 192 · Liz, 2;0.21
    CHIchimney .
    CHIchimney .
    MOT*MOT: what else does it have ?
    CHIum .
    MOTwindows ?
  3. eng_british_Manchester_II/liz05a.cha, line 496 · Liz, 2;0.21
    MOToh: oh I think you're right there , aren't you ?
    MOTnow where's the rest of the bear ?
    MOT*MOT: um does that look right ?
    CHIturn round .
    CHIin there .
  4. eng_british_Manchester_II/liz05a.cha, line 502 · Liz, 2;0.21
    CHIturn round .
    CHIin there .
    MOT*MOT: does it look right the picture ?
    CHIright there .
    CHIdoors .
  5. eng_british_Manchester_II/liz05a.cha, line 1057 · Liz, 2;0.21
    MOTwe've got two teddys now .
    MOTthat's right .
    MOT*MOT: what else does he need ?
    CHIbuttons .
    MOThow many ?
  6. eng_british_Manchester_II/liz05a.cha, line 1329 · Liz, 2;0.21
    MOTsome windows .
    MOTsome crumbs there , were there ?
    MOT*MOT: is that what Mummy does ?
    CHIdraw hand .
    MOToh no I don't want the ink all over my hand .

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_II4.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz05a.chaLiz 2;0.211,411664.25

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. does6 · 100.0%