PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (358 utterances, 1,492 words searched).

  1. does the engineer have a name ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 100 · Michael 2;02
  2. oh, El # did it have a crash ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 287 · Michael 2;02
  3. did you have any casualties ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 507 · Michael 2;02
  4. do you have a buckle ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 744 · Michael 2;02
  5. may I have that please ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 843 · Michael 2;02
  6. they have magnets on them . MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 1107 · Michael 2;02
  7. may I have it ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 1396 · Michael 2;02
  1. MOTthe persh [//] the person is the engineer .
    CHIdat's de en(g)ineer righ(t) here .
    MOT*MOT: does the engineer have a name ?
    CHIyes .
    MOTwhat is the engineer's [//] what's the name of the engineer in choo choo ?
  2. CHIgonna go down shunno [: tunnel] .
    MOTit's going to go down into a tunnel ?
    MOT*MOT: oh, El # did it have a crash ?
    CHIyes .
    CHIbuh [: big] crash .
  3. CHI&m my xxx ka [: train] c(r)ash .
    MOTyou had a bad # bad crash ?
    MOT*MOT: did you have any casualties ?
    CHI<wesuh pu wigh her> [: let's put right here] .
    MOToops .
  4. CHIbuckle .
    MOTbuckle ?
    MOT*MOT: do you have a buckle ?
    CHIbuckle ?
    CHIbuckle ?
  5. MOTnow, let me put this back into you .
    MOTthank you .
    MOT*MOT: may I have that please ?
    CHIno wan(t) help .
    MOTyou wanna help ?
  6. MOTthose are magnets .
    MOTthese are shapes and letters .
    MOT*MOT: they have magnets on them .
    CHIoh go(t) my <wawa skwish> [: water squish] .
    CHIoh wah oh .
  7. MOTstrong what ?
    CHIe [: there] you do [: go] mom .
    MOT*MOT: may I have it ?
    CHI<yuh huh> [: uhhuh] .
    MOTthank you .

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. Michael eng_USA_Demetras_Trevor4.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/m_mot03.chaMichael 2;2.201,492774.69

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. have7 · 100.0%