PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

6.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (226 utterances, 1,057 words searched).

  1. here # just let +... GRA · bilingual_eng_Deuchar/871126eg.cha, line 46 · M 2;05
  2. just [/] just it'll run itself and +... GRA · bilingual_eng_Deuchar/871126eg.cha, line 47 · M 2;05
  3. just [/] just it'll run itself and +... GRA · bilingual_eng_Deuchar/871126eg.cha, line 47 · M 2;05
  4. we just play in this area then . GRA · bilingual_eng_Deuchar/871126eg.cha, line 51 · M 2;05
  5. just where you are is fine # I don't think you need the other thing . MOT · bilingual_eng_Deuchar/871126eg.cha, line 60 · M 2;05
  6. mmm # bless you # can Gran just wipe it all off ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 648 · M 2;05
  7. …e it then M # wipe your nose lovey # that's a good girl # and again # just up here . GRA · bilingual_eng_Deuchar/871126eg.cha, line 653 · M 2;05
  1. CHIyyy .
    MOTcan I leave you for half an hour or so ?
    GRA*GRA: here # just let +...
    GRAjust [/] just it'll run itself and +...
    GRAwe've got xxx +...
  2. MOTcan I leave you for half an hour or so ?
    GRAhere # just let +...
    GRA*GRA: just [/] just it'll run itself and +...
    GRAwe've got xxx +...
    GRAis that near enough ?
  3. GRAis that near enough ?
    MOTyes # I think so .
    GRA*GRA: we just play in this area then .
    MOTyes .
    MOTum +...
  4. CHIlook big train .
    GRAyes .
    MOT*MOT: just where you are is fine # I don't think you need the other thing .
    GRAthat's all right .
    MOTxxx .
  5. CHI0.
    CHIyyy bless me .
    GRA*GRA: mmm # bless you # can Gran just wipe it all off ?
    CHIno [>] .
    GRA<will you> [<] wipe it then M # wipe your nose lovey # that's a good girl # and again # just up here .
  6. GRAmmm # bless you # can Gran just wipe it all off ?
    CHIno [>] .
    GRA*GRA: <will you> [<] wipe it then M # wipe your nose lovey # that's a good girl # and again # just up here .
    CHIwhere ?
    GRAby your nose # that's right .

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. M bilingual_eng_Deuchar6.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/871126eg.chaM 2;5.021,057676.62

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. just7 · 100.0%