PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. we're going to leave those up there <for the moment or do we [//] we might want the xxx right> [>] ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 33 · M 1;03
  2. <this photograph> [<] might be good of Web [?][>] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 82 · M 1;03
  3. <right # we might have a pause> [>] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 255 · M 1;03
  4. yes [<] # she might have done # yes . GRA · bilingual_eng_Deuchar/861023eg.cha, line 455 · M 1;03
  5. I think that might be quite an answer . GRA · bilingual_eng_Deuchar/861023eg.cha, line 830 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 33 · M, 1;3.29
    GRAthere we are .
    GRAwhat are we going to play with ?
    GRA*GRA: we're going to leave those up there <for the moment or do we [//] we might want the xxx right> [>] ?
    CHIyyy [<] .
    MOT<xxx well you may want to play with> [>] .
  2. bilingual_eng_Deuchar/861023eg.cha, line 82 · M, 1;3.29
    GRAfetch the ball .
    GRAgo to granny [>] .
    MOT*MOT: <this photograph> [<] might be good of Web [?][>] .
    GRAyes .
    GRAor isn't it # we should've had this new one that I brought .
  3. bilingual_eng_Deuchar/861023eg.cha, line 255 · M, 1;3.29
    CHIyyy .
    MOTwho's that ?
    MOT*MOT: <right # we might have a pause> [>] .
    MOT<I think yes we will have a pause alright> [?] .
    CHIyyy [<] .
  4. bilingual_eng_Deuchar/861023eg.cha, line 455 · M, 1;3.29
    MOTwhich I think she must have got <by looking at um> [//] by hearing clock .
    GRA<I don't know> [>] .
    GRA*GRA: yes [<] # she might have done # yes .
    MOTshe spent one entire meal at the university pointing to the clock on the wall and saying &ga .
    GRAdid she ?
  5. bilingual_eng_Deuchar/861023eg.cha, line 830 · M, 1;3.29
    MOTit transmits .
    GRAyes .
    GRA*GRA: I think that might be quite an answer .

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_Deuchar3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609553.11

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. might5 · 100.0%