PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,593 words searched).

  1. let's have a look . MOT · eng_british_Manchester_I/becky16a.cha, line 181 · Becky 2;05
  2. let's see if we can find them . MOT · eng_british_Manchester_I/becky16a.cha, line 223 · Becky 2;05
  3. let's do the first one . MOT · eng_british_Manchester_I/becky16a.cha, line 233 · Becky 2;05
  4. so let's have a look . MOT · eng_british_Manchester_I/becky16a.cha, line 257 · Becky 2;05
  5. let's have a look . MOT · eng_british_Manchester_I/becky16a.cha, line 983 · Becky 2;05
  6. let's have a look . MOT · eng_british_Manchester_I/becky16a.cha, line 1237 · Becky 2;05
  7. let's have a look . MOT · eng_british_Manchester_I/becky16a.cha, line 1673 · Becky 2;05
  1. MOTI want to see what it is .
    INVwhat's +//.
    MOT*MOT: let's have a look .
    MOTit's sticker activity numbers .
    MOTit's got stickers in it that has , Becky .
  2. CHIwhere's stickers .
    MOTI think they're probably in the middle .
    MOT*MOT: let's see if we can find them .
    CHIwhere's the middle .
    MOTthey're here , look .
  3. MOTdo you want to do one ?
    CHIyeah .
    MOT*MOT: let's do the first one .
    MOTrabbit .
    CHIa rabbit .
  4. MOTthat's right .
    MOTnow you have to look in the middle and see if you can find # a picture of a carrot .
    MOT*MOT: so let's have a look .
    MOTcan you see a carrot ?
    CHII can't see carrot .
  5. MOTno .
    MOTI don't think it goes there .
    MOT*MOT: let's have a look .
    MOTstart from the beginning and have a look at the +//.
    MOTit doesn't go there , does it ?
  6. MOTxxx .
    CHIxxx .
    MOT*MOT: let's have a look .
    MOTthere you are .
    CHII 0have [*] just broken it .
  7. MOTwhoops .
    CHIwhat 0have I done ?
    MOT*MOT: let's have a look .
    CHIxxx .
    MOTI'm not xxx .

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. Becky eng_british_Manchester_I4.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky16a.chaBecky 2;5.081,593774.39

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. let's7 · 100.0%