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. Sergio went but it was closed . MOT · bilingual_eng_Deuchar/861023eg.cha, line 59 · M 1;03
  2. where was the car picture ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 137 · M 1;03
  3. which was the car M ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 139 · M 1;03
  4. and that was an <ordinary clock on the wall> [>] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 466 · M 1;03
  5. was she ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 571 · M 1;03
  1. GRAcobbler # were you pleased with the cobbler ?
    MOTno because I haven't [//] nobody has picked them up yet .
    MOT*MOT: Sergio went but it was closed .
    GRAoh !
    GRAwhat's this ?
  2. 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 ?
  3. MOTwhere was the car picture ?
    GRAshow mummy .
    GRA*GRA: which was the car M ?
    MOTthis one ?
    GRAyes .
  4. GRAah !
    CHIyyy .
    MOT*MOT: and that was an <ordinary clock on the wall> [>] .
    CHImummy [<] .
    MOTshe doesn't with my watch no .
  5. CHI0.
    MOTxxx she's xxx hasn't she ?
    GRA*GRA: was she ?
    MOTwho's this ?
    MOTwho's this ?

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. was5 · 100.0%