PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (740 utterances, 2,490 words searched).

  1. so we need to find one that looks like that . MOT · eng_british_Manchester_I/gail02a.cha, line 111 · Gail 2;00
  2. sticker that looks like that shape . MOT · eng_british_Manchester_I/gail02a.cha, line 118 · Gail 2;00
  3. that looks like Mr_Messy . MOT · eng_british_Manchester_I/gail02a.cha, line 126 · Gail 2;00
  4. you've got to look very carefully and find one that looks like Mr_Messy . MOT · eng_british_Manchester_I/gail02a.cha, line 130 · Gail 2;00
  5. so we need to find a picture that looks like that . MOT · eng_british_Manchester_I/gail02a.cha, line 195 · Gail 2;00
  6. what looks like a bed+room ? MOT · eng_british_Manchester_I/gail02a.cha, line 210 · Gail 2;00
  7. but there's another one that looks like that . MOT · eng_british_Manchester_I/gail02a.cha, line 226 · Gail 2;00
  8. find another one that looks a bit like that with a head on . MOT · eng_british_Manchester_I/gail02a.cha, line 235 · Gail 2;00
  9. looks like that one . MOT · eng_british_Manchester_I/gail02a.cha, line 254 · Gail 2;00
  10. he looks +//. MOT · eng_british_Manchester_I/gail02a.cha, line 1642 · Gail 2;00
  11. he looks just like this . MOT · eng_british_Manchester_I/gail02a.cha, line 1650 · Gail 2;00
  1. CHImmhm .
    MOTright .
    MOT*MOT: so we need to find one that looks like that .
    CHIsticker .
    MOTyeah .
  2. CHIsticker .
    MOTyeah .
    MOT*MOT: sticker that looks like that shape .
    MOTthere .
    CHIthat .
  3. CHIthat .
    CHIokay .
    MOT*MOT: that looks like Mr_Messy .
    MOTright .
    MOTyou've got to look very carefully and find one that looks like Mr_Messy .
  4. MOTthat looks like Mr_Messy .
    MOTright .
    MOT*MOT: you've got to look very carefully and find one that looks like Mr_Messy .
    CHIthis one .
    MOTmmhm .
  5. MOTlook .
    MOTit's his bed+room .
    MOT*MOT: so we need to find a picture that looks like that .
    CHIyeah .
    MOTyeah ?
  6. MOTyeah .
    MOTlook very carefully .
    MOT*MOT: what looks like a bed+room ?
    CHIyeah .
    MOTthat's not a bed+room , is it ?
  7. MOTwe need to find a bed .
    MOTvery close .
    MOT*MOT: but there's another one that looks like that .
    CHIyes .
    MOTcan you find that +//.
  8. MOTcan you find that +//.
    MOTwhat about on this page ?
    MOT*MOT: find another one that looks a bit like that with a head on .
    MOTin the picture .
    MOTI think .
  9. MOTyes .
    MOTwhere ?
    MOT*MOT: looks like that one .
    MOTand then we'll stop .
    MOToh .
  10. MOTor like that .
    MOTlike that xxx .
    MOT*MOT: he looks +//.
    MOTdo you know +//.
    MOTwhat does he look like ?
  11. MOTwhat does he look like ?
    CHIxxx .
    MOT*MOT: he looks just like this .
    MOTlook .
    CHIsame .

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. Gail eng_british_Manchester_I4.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail02a.chaGail 2;0.052,49011114.42

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. looks11 · 100.0%