PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

7.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (171 utterances, 901 words searched).

  1. look mum hasn't got any tea . MOT · bilingual_eng_Deuchar/870728er.cha, line 85 · M 2;01
  2. Rayna got up by herself yes . MOT · bilingual_eng_Deuchar/870728er.cha, line 143 · M 2;01
  3. I got a wooly hat and you got a wig . RAY · bilingual_eng_Deuchar/870728er.cha, line 344 · M 2;01
  4. I got a wooly hat and you got a wig . RAY · bilingual_eng_Deuchar/870728er.cha, line 344 · M 2;01
  5. <you've got> [<] [//] oh no you've got the red one . MOT · bilingual_eng_Deuchar/870728er.cha, line 577 · M 2;01
  6. <you've got> [<] [//] oh no you've got the red one . MOT · bilingual_eng_Deuchar/870728er.cha, line 577 · M 2;01
  7. have you got them all there ? MOT · bilingual_eng_Deuchar/870728er.cha, line 578 · M 2;01
  1. bilingual_eng_Deuchar/870728er.cha, line 85 · M, 2;1.03
    CHIyyy .
    MOTyou haven't given me any tea yet .
    MOT*MOT: look mum hasn't got any tea .
    MOTwhere's my tea ?
    CHItea tea # mmm make tea .
  2. bilingual_eng_Deuchar/870728er.cha, line 143 · M, 2;1.03
    CHIyes .
    CHIRayna by herself .
    MOT*MOT: Rayna got up by herself yes .
    CHIM good yyy I jump .
    MOTno no no not jump you [//] not to jump around or you get down .
  3. bilingual_eng_Deuchar/870728er.cha, line 344 · M, 2;1.03
    CHI<mum mum> [<] .
    MOT<I'm going to close it so> [<] it doesn't bang ok ?
    RAY*RAY: I got a wooly hat and you got a wig .
    CHImmm mum # draw Rayna .
    MOTI've already written Rayna .
  4. bilingual_eng_Deuchar/870728er.cha, line 577 · M, 2;1.03
    MOTmmm ?
    CHIred [>] .
    MOT*MOT: <you've got> [<] [//] oh no you've got the red one .
    MOThave you got them all there ?
    MOTtwo three # well there is something missing .
  5. bilingual_eng_Deuchar/870728er.cha, line 578 · M, 2;1.03
    CHIred [>] .
    MOT<you've got> [<] [//] oh no you've got the red one .
    MOT*MOT: have you got them all there ?
    MOTtwo three # well there is something missing .
    MOTone two three # there should be eight [>] and there are only seven .

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_Deuchar7.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870728er.chaM 2;1.03901577.77

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. got7 · 100.0%