PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

7.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,402 words searched).

  1. let's see . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 118 · Tim 2;02
  2. let's +... MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 171 · Tim 2;02
  3. let's keep going til [//] til we use up all the Legos . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 173 · Tim 2;02
  4. let's see what else we've got . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 226 · Tim 2;02
  5. let's see . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 315 · Tim 2;02
  6. let's see # these look good for feet, don't they ? MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 563 · Tim 2;02
  7. let's see . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 585 · Tim 2;02
  8. let's see . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 593 · Tim 2;02
  9. let's see . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 659 · Tim 2;02
  10. let's see . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 1325 · Tim 2;02
  1. MOT(o)kay .
    MOTnow we can put one right over their heads .
    MOT*MOT: let's see .
    MOToh oh .
    MOThow are we gonna do that ?
  2. CHIuh (I) make anonler [: another] one ?
    CHIca(n) I ?
    MOT*MOT: let's +...
    MOTlet's keep going til [//] til we use up all the Legos .
    MOTwant to ?
  3. CHIca(n) I ?
    MOTlet's +...
    MOT*MOT: let's keep going til [//] til we use up all the Legos .
    MOTwant to ?
    MOTgonna be as big as you are .
  4. CHIdaydee [: lady] .
    MOTboy oh boy do you have a stuffed up nose .
    MOT*MOT: let's see what else we've got .
    MOToh, we've got a lot of little ones, huh ?
    MOTwhere's the skinny one ?
  5. MOTI'm gonna first [//] first I wanna use em all up .
    MOTbefore we make a top, okay ?
    MOT*MOT: let's see .
    MOToh we're running out .
    MOTwe're running out of Legos .
  6. CHIyes .
    MOTI wish .
    MOT*MOT: let's see # these look good for feet, don't they ?
    MOTthese pieces .
    MOTbig feet .
  7. MOTsounds good to me .
    MOTokay .
    MOT*MOT: let's see .
    CHIlegs on it ?
    MOTbig # big fat legs .
  8. MOTbig # big fat legs .
    CHIyes .
    MOT*MOT: let's see .
    MOTwhere's some more like this ?
    MOTdo you see any ?
  9. MOTshould we ?
    CHIdat gotl [: got a] owie [?] .
    MOT*MOT: let's see .
    MOTshould the gobot have xxx ?
    MOTyes you do .
  10. CHIyes .
    MOTfor two of them .
    MOT*MOT: let's see .
    CHIxxx .
    MOTokay .

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. Tim eng_USA_Demetras_Trevor7.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/t_mot04.chaTim 2;2.061,40210107.13

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's10 · 100.0%