PHPCLANCHILDES with regular expressions

17 matches in 15 utterances

10.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,593 words searched).

  1. CHIyes .
    MOTare you've got to put it on there .
    MOT*MOT: no .
    MOTthe other way round , look .
    MOTso that it matches up .
  2. MOTnone at all ?
    CHIthose are socks there .
    MOT*MOT: no .
    MOTthey're not socks .
    CHIthose .
  3. CHIthere .
    CHIthis is red .
    MOT*MOT: no .
    MOTthat's white .
    MOToh dear .
  4. CHImum .
    CHIkangaroo's no good .
    MOT*MOT: he's no good ?
    CHIno .
    MOTwhy ?
  5. CHIyeah .
    CHIxxx .
    MOT*MOT: no .
    MOTI don't think it goes there .
    MOTlet's have a look .
  6. MOTdoes it go there ?
    CHIno .
    MOT*MOT: no .
    MOTso it must go here somewhere .
    CHIno .
  7. INVwww .
    CHIit doesn't fit there .
    MOT*MOT: no .
    CHIit doesn't fit there .
    CHIoh look .
  8. MOTdo you think it might go here ?
    MOTbecause there are nine fishs .
    MOT*MOT: no .
    MOTnot [/] not there .
    MOTit goes here .
  9. CHIno .
    MOTcome on then .
    INV*INV: no .
    MOTsee where this goes .
    MOTwhere do you think number four goes .
  10. CHIis [*] it go there ?
    CHImum ?
    MOT*MOT: no no .
    MOTthat's three teddys .
    MOTit doesn't go there .
  11. CHIyes .
    CHIhe's a [//] he's fluffy elephant .
    MOT*MOT: no .
    MOTI don't think elephants are fluffy .
    CHIno .
  12. MOTthey're not fluffy , are they ?
    CHIno .
    MOT*MOT: no .
    CHIonly Caroline's got hair .
    MOTpardon ?
  13. MOTcan you see the shape where it fits on here ?
    MOTxxx .
    MOT*MOT: no .
    MOTother way up .
    MOTthere we are .
  14. CHIthis 0is [*] a thunder .
    MOTit's not a thunder .
    MOT*MOT: no no .
    CHIwhat's that ?
    MOTan aeroplane .
  15. MOTdo you think a bit of cellotape might be needed for that one ?
    CHIyeah .
    MOT*MOT: oh no .
    MOTseems to be alright .
    CHIoh .

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. Becky eng_british_Manchester_I10.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky16a.chaBecky 2;5.081,593151710.67

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. no17 · 100.0%