PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (633 utterances, 2,301 words searched).

  1. let's see if we can knock doggie over with the train . MOT · eng_british_Manchester_I/anne09a.cha, line 772 · Anne 2;00
  2. let's have a look at it . MOT · eng_british_Manchester_I/anne09a.cha, line 971 · Anne 2;00
  3. let's see if we can . MOT · eng_british_Manchester_I/anne09a.cha, line 1010 · Anne 2;00
  4. let's see if we can do this one ,, shall we ? MOT · eng_british_Manchester_I/anne09a.cha, line 1014 · Anne 2;00
  5. let's see if we can find the page the carrots go on . MOT · eng_british_Manchester_I/anne09a.cha, line 1063 · Anne 2;00
  6. let's see if we can find the page that the apples go on . MOT · eng_british_Manchester_I/anne09a.cha, line 1138 · Anne 2;00
  7. let's see what else we can find . MOT · eng_british_Manchester_I/anne09a.cha, line 1713 · Anne 2;00
  1. eng_british_Manchester_I/anne09a.cha, line 772 · Anne, 2;0.29
    CHIknock doggie .
    MOTknock doggie ?
    MOT*MOT: let's see if we can knock doggie over with the train .
    MOTare you ready ?
    MOTready ?
  2. eng_british_Manchester_I/anne09a.cha, line 971 · Anne, 2;0.29
    CHIyeah .
    MOTyeah ?
    MOT*MOT: let's have a look at it .
    CHIno no page .
    MOTpardon ?
  3. eng_british_Manchester_I/anne09a.cha, line 1010 · Anne, 2;0.29
    MOThere's the pieces in the middle .
    MOTwhat [/] what we can do is we can take them off and see if we can stick them in the right places .
    MOT*MOT: let's see if we can .
    MOTright .
    MOTlet's see if we can do this one ,, shall we ?
  4. eng_british_Manchester_I/anne09a.cha, line 1014 · Anne, 2;0.29
    MOTlet's see if we can .
    MOTright .
    MOT*MOT: let's see if we can do this one ,, shall we ?
    MOTnow .
    MOTwhat've we got here ?
  5. eng_british_Manchester_I/anne09a.cha, line 1063 · Anne, 2;0.29
    CHIcarrot .
    MOTcarrots ?
    MOT*MOT: let's see if we can find the page the carrots go on .
    CHIhere .
    MOThang on .
  6. eng_british_Manchester_I/anne09a.cha, line 1138 · Anne, 2;0.29
    MOTbit tricky to get them off ,, isn't it ?
    MOTthere .
    MOT*MOT: let's see if we can find the page that the apples go on .
    CHIhere [>] .
    MOTactually [<] it looks like you can put them on different pages .
  7. eng_british_Manchester_I/anne09a.cha, line 1713 · Anne, 2;0.29
    CHIread it here .
    MOTread it in a bit .
    MOT*MOT: let's see what else we can find .
    MOTcan you see a piggy anywhere ?
    CHIyeah .

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. Anne eng_british_Manchester_I3.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09a.chaAnne 2;0.292,301773.04

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%