PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

7.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (342 utterances, 1,356 words searched).

  1. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 100 · Liz 2;00
  2. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 120 · Liz 2;00
  3. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 143 · Liz 2;00
  4. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 217 · Liz 2;00
  5. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 229 · Liz 2;00
  6. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 263 · Liz 2;00
  7. mmhm . MOT · eng_british_Manchester_II/liz06b.cha, line 811 · Liz 2;00
  8. mmhm . INV · eng_british_Manchester_II/liz06b.cha, line 1038 · Liz 2;00
  9. mmhm . INV · eng_british_Manchester_II/liz06b.cha, line 1043 · Liz 2;00
  10. mmhm it's getting big , isn't it ? MOT · eng_british_Manchester_II/liz06b.cha, line 1149 · Liz 2;00
  1. MOTyou have to take the other two off first .
    CHIgreen .
    MOT*MOT: mmhm .
    CHIblue one .
    MOTyeah .
  2. CHIthree .
    CHIthree ones .
    MOT*MOT: mmhm .
    CHIthat one back .
    MOTare you putting that one back ?
  3. MOTyeah .
    CHIpink .
    MOT*MOT: mmhm .
    MOTand blue .
    MOTgreen next .
  4. MOTthere .
    CHItoys out .
    MOT*MOT: mmhm .
    CHIbricks out .
    MOTwhat do you want love ?
  5. CHItwo bricks .
    CHIup there .
    MOT*MOT: mmhm .
    CHItwo .
    CHILiz .
  6. CHImonkey off .
    CHIon elephant .
    MOT*MOT: mmhm .
    CHIno .
    CHIno go .
  7. MOTmust have been when the tunnel fell down .
    CHItunnel fell down .
    MOT*MOT: mmhm .
    CHIblue one fall down .
    MOTyeah .
  8. MOTthat's right .
    CHIAnna .
    INV*INV: mmhm .
    CHIAnna .
    INVmmhm .
  9. INVmmhm .
    CHIAnna .
    INV*INV: mmhm .
    CHILiz's .
    MOTright you can get your bricks out now .
  10. MOTput this fancy bit there .
    CHIhouse .
    MOT*MOT: mmhm it's getting big , isn't it ?
    MOTit's one of these modern blocks of flats , is it ?
    CHIno windows .

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. Liz eng_british_Manchester_II7.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz06b.chaLiz 2;0.281,35610107.37

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. mmhm10 · 100.0%