PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. she looked at the car . MOT · bilingual_eng_Deuchar/861023eg.cha, line 207 · M 1;03
  2. which I think she must have got <by looking at um> [//] by hearing clock . MOT · bilingual_eng_Deuchar/861023eg.cha, line 452 · M 1;03
  3. she spent one entire meal at the university pointing to the clock on the wall and saying &ga . MOT · bilingual_eng_Deuchar/861023eg.cha, line 456 · M 1;03
  4. she's looking at me # comparing with the photo . MOT · bilingual_eng_Deuchar/861023eg.cha, line 549 · M 1;03
  5. look at them with glasses . MOT · bilingual_eng_Deuchar/861023eg.cha, line 556 · M 1;03
  6. it's supposed to be nice near there at Sheffield Park . MOT · bilingual_eng_Deuchar/861023eg.cha, line 621 · M 1;03
  7. yes # <let's have a look to see> [//] we haven't had a proper look at this book and I like this book very much . GRA · bilingual_eng_Deuchar/861023eg.cha, line 646 · M 1;03
  1. 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> [?] [>] .
  2. bilingual_eng_Deuchar/861023eg.cha, line 452 · M, 1;3.29
    CHIyyy .
    MOTthat's why you said that could be a &ga isn't it ?
    MOT*MOT: which I think she must have got <by looking at um> [//] by hearing clock .
    GRA<I don't know> [>] .
    GRAyes [<] # she might have done # yes .
  3. bilingual_eng_Deuchar/861023eg.cha, line 456 · M, 1;3.29
    GRA<I don't know> [>] .
    GRAyes [<] # she might have done # yes .
    MOT*MOT: she spent one entire meal at the university pointing to the clock on the wall and saying &ga .
    GRAdid she ?
    MOTyes .
  4. bilingual_eng_Deuchar/861023eg.cha, line 549 · M, 1;3.29
    MOTthat's mummy .
    MOTis that mummy ?
    MOT*MOT: she's looking at me # comparing with the photo .
    CHIyyy .
    MOTand who's that ?
  5. bilingual_eng_Deuchar/861023eg.cha, line 556 · M, 1;3.29
    MOTand who's that ?
    MOTwho's that funny face ?
    MOT*MOT: look at them with glasses .
    CHIyyy .
    MOTGranny .
  6. bilingual_eng_Deuchar/861023eg.cha, line 621 · M, 1;3.29
    MOThad you been before ?
    GRAwe took Alexander yes great fun very very suitable trip .
    MOT*MOT: it's supposed to be nice near there at Sheffield Park .
    GRAyes it is .
    GRAwe've been in there once but +/.
  7. bilingual_eng_Deuchar/861023eg.cha, line 646 · M, 1;3.29
    MOTok .
    MOTnow are you going to show Granny anything else xxx ?
    GRA*GRA: yes # <let's have a look to see> [//] we haven't had a proper look at this book and I like this book very much .
    GRAcould you come and show me M ?
    MOTyes .

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_Deuchar4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609774.35

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. at7 · 100.0%