PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,451 words searched).

  1. oh you do look nice with that on . MOT · eng_british_Manchester_II/liz04b.cha, line 107 · Liz 2;00
  2. does that look nice ? INV · eng_british_Manchester_II/liz04b.cha, line 117 · Liz 2;00
  3. do I look silly ? INV · eng_british_Manchester_II/liz04b.cha, line 123 · Liz 2;00
  4. oh look shopping . MOT · eng_british_Manchester_II/liz04b.cha, line 212 · Liz 2;00
  5. oh: look . MOT · eng_british_Manchester_II/liz04b.cha, line 345 · Liz 2;00
  6. here's another white one look . MOT · eng_british_Manchester_II/liz04b.cha, line 463 · Liz 2;00
  7. I'm making a dead good cage look . MOT · eng_british_Manchester_II/liz04b.cha, line 471 · Liz 2;00
  8. shall we look what this Budgie's doing ? MOT · eng_british_Manchester_II/liz04b.cha, line 963 · Liz 2;00
  9. shall we have a look at some more books . MOT · eng_british_Manchester_II/liz04b.cha, line 1303 · Liz 2;00
  10. have a look +//. MOT · eng_british_Manchester_II/liz04b.cha, line 1306 · Liz 2;00
  1. MOToh .
    MOTlet me see .
    MOT*MOT: oh you do look nice with that on .
    CHIAnna on .
    INVyou want to put it on me ?
  2. INVgo on then .
    INVthere .
    INV*INV: does that look nice ?
    MOToh there you go .
    INVam I big and important now ?
  3. MOToh there you go .
    INVam I big and important now ?
    INV*INV: do I look silly ?
    INVyes I think I do .
    CHIMummy on .
  4. MOTit's got a bit chilly now .
    INVdo you want that one [= hoop] ?
    MOT*MOT: oh look shopping .
    CHIshopping .
    MOTyeah .
  5. CHIbrick .
    MOTbrick .
    MOT*MOT: oh: look .
    MOTthat one's got an eye on it .
    MOTeye eye .
  6. CHImore white .
    MOTmore white ?
    MOT*MOT: here's another white one look .
    CHILiz want white one .
    MOTyou want the white one ?
  7. MOTyou want the white one ?
    CHIyes .
    MOT*MOT: I'm making a dead good cage look .
    CHIcage .
    MOTyeah .
  8. MOTget some big [/] big clip(s) clips [*] .
    MOTcome on .
    MOT*MOT: shall we look what this Budgie's doing ?
    CHIBudgie .
    MOTBudgie .
  9. MOTLiz .
    MOTLiz .
    MOT*MOT: shall we have a look at some more books .
    MOThave a look +//.
    MOTwhat else shall we find in here ?
  10. MOTLiz .
    MOTshall we have a look at some more books .
    MOT*MOT: have a look +//.
    MOTwhat else shall we find in here ?
    CHITom_Tom .

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_II6.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz04b.chaLiz 2;0.141,45110106.89

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. look10 · 100.0%