PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. we just play in this area then . GRA · bilingual_eng_Deuchar/871126eg.cha, line 51 · M 2;05
  2. you close it # right # <mind mummy's fingers> [>] then . GRA · bilingual_eng_Deuchar/871126eg.cha, line 94 · M 2;05
  3. <will you> [<] wipe it then M # wipe your nose lovey # that's a good girl # and again # just up h… GRA · bilingual_eng_Deuchar/871126eg.cha, line 653 · M 2;05
  4. no [<] all right then sweetheart . GRA · bilingual_eng_Deuchar/871126eg.cha, line 670 · M 2;05
  5. mmm # we put this on here then # they could pull it along couldn't they ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1185 · M 2;05
  1. bilingual_eng_Deuchar/871126eg.cha, line 51 · M, 2;5.02
    GRAis that near enough ?
    MOTyes # I think so .
    GRA*GRA: we just play in this area then .
    MOTyes .
    MOTum +...
  2. bilingual_eng_Deuchar/871126eg.cha, line 94 · M, 2;5.02
    GRAmmm .
    CHII close it .
    GRA*GRA: you close it # right # <mind mummy's fingers> [>] then .
    CHI<where's mummy> [<] ?
    CHIwhere's mum ?
  3. bilingual_eng_Deuchar/871126eg.cha, line 653 · M, 2;5.02
    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 .
  4. bilingual_eng_Deuchar/871126eg.cha, line 670 · M, 2;5.02
    GRAin your eyes # it's that a bit wet [//] is that a bit [//] does that want wiping too # no [>] ?
    CHIyeah [>] .
    GRA*GRA: no [<] all right then sweetheart .
    CHIlook # look # big tower .
    GRAyes .
  5. bilingual_eng_Deuchar/871126eg.cha, line 1185 · M, 2;5.02
    GRAxxx .
    CHIno # oh down now down .
    GRA*GRA: mmm # we put this on here then # they could pull it along couldn't they ?
    CHIyyy [>] .
    GRA<go on> [<] .

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_Deuchar4.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/871126eg.chaM 2;5.021,057554.73

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. then5 · 100.0%