PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,609 words searched).

  1. car yes . GRA · bilingual_eng_Deuchar/861023eg.cha, line 131 · M 1;03
  2. we just had a good car and <just wanted if we had> [?] [>] . GRA · bilingual_eng_Deuchar/861023eg.cha, line 135 · M 1;03
  3. where was the car picture ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 137 · M 1;03
  4. which was the car M ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 139 · M 1;03
  5. yes [<] she's picked it up and handed to me and said car . GRA · bilingual_eng_Deuchar/861023eg.cha, line 144 · M 1;03
  6. she looked at the car . MOT · bilingual_eng_Deuchar/861023eg.cha, line 207 · M 1;03
  7. do [//] which one's a car ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 220 · M 1;03
  8. a car . MOT · bilingual_eng_Deuchar/861023eg.cha, line 325 · M 1;03
  9. where else is a car ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 328 · M 1;03
  10. is it a car ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 357 · M 1;03
  11. car [>] ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 588 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 131 · M, 1;3.29
    GRAballie .
    CHIyyy .
    GRA*GRA: car yes .
    GRAand +...
    GRAis the sound on ?
  2. bilingual_eng_Deuchar/861023eg.cha, line 135 · M, 1;3.29
    GRAis the sound on ?
    MOTyes .
    GRA*GRA: we just had a good car and <just wanted if we had> [?] [>] .
    MOToh [<] !
    MOTwhere was the car picture ?
  3. bilingual_eng_Deuchar/861023eg.cha, line 137 · M, 1;3.29
    GRAwe just had a good car and <just wanted if we had> [?] [>] .
    MOToh [<] !
    MOT*MOT: where was the car picture ?
    GRAshow mummy .
    GRAwhich was the car M ?
  4. bilingual_eng_Deuchar/861023eg.cha, line 139 · M, 1;3.29
    MOTwhere was the car picture ?
    GRAshow mummy .
    GRA*GRA: which was the car M ?
    MOTthis one ?
    GRAyes .
  5. bilingual_eng_Deuchar/861023eg.cha, line 144 · M, 1;3.29
    MOToh !
    MOTit's usually [//] that's <real boring> [>] .
    GRA*GRA: yes [<] she's picked it up and handed to me and said car .
    MOTI think that's really the best way .
    CHIyyy .
  6. bilingual_eng_Deuchar/861023eg.cha, line 207 · M, 1;3.29
    GRAball .
    CHIyyy .
    MOT*MOT: she looked at the car .
    MOTdon't you think it's amazing she picks this out of the whole thing .
    GRA<mmm yes the cars are very important xxx red cars> [?] [>] .
  7. bilingual_eng_Deuchar/861023eg.cha, line 220 · M, 1;3.29
    GRAyes .
    CHIcar .
    MOT*MOT: do [//] which one's a car ?
    CHIyyy .
    GRAyes .
  8. bilingual_eng_Deuchar/861023eg.cha, line 325 · M, 1;3.29
    CHIyyy .
    MOTwhat's that ?
    MOT*MOT: a car .
    MOTis it ?
    GRAwhere else is a car ?
  9. bilingual_eng_Deuchar/861023eg.cha, line 328 · M, 1;3.29
    MOTa car .
    MOTis it ?
    GRA*GRA: where else is a car ?
    GRA<yes I think those> [//] these are a little bit xxx # oh look !
    CHIno .
  10. bilingual_eng_Deuchar/861023eg.cha, line 357 · M, 1;3.29
    CHIyyy .
    MOTwhat is it ?
    MOT*MOT: is it a car ?
    CHIyyy .
    MOToh there is a ball .
  11. bilingual_eng_Deuchar/861023eg.cha, line 588 · M, 1;3.29
    GRAthank you .
    MOTshe realized she's got a big weapon here .
    GRA*GRA: car [>] ?
    CHIyyy [<] .
    CHIyyy .

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_Deuchar6.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,60911116.84

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. car11 · 100.0%