PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. where's my tea ? MOT · bilingual_eng_Deuchar/870728er.cha, line 86 · M 2;01
  2. where's the other one M ? MOT · bilingual_eng_Deuchar/870728er.cha, line 594 · M 2;01
  3. where's the other cup M ? MOT · bilingual_eng_Deuchar/870728er.cha, line 623 · M 2;01
  1. bilingual_eng_Deuchar/870728er.cha, line 86 · M, 2;1.03
    MOTyou haven't given me any tea yet .
    MOTlook mum hasn't got any tea .
    MOT*MOT: where's my tea ?
    CHItea tea # mmm make tea .
    CHI<thank you> [>] .
  2. bilingual_eng_Deuchar/870728er.cha, line 594 · M, 2;1.03
    RAY<one two three four five six seven> [<] [>] .
    CHI<M uh have seven M got it> [<] .
    MOT*MOT: where's the other one M ?
    RAY<there's seven> [>] .
    CHI<M's got it> [<] .
  3. bilingual_eng_Deuchar/870728er.cha, line 623 · M, 2;1.03
    CHIM's juice .
    RAYcan I drink it ?
    MOT*MOT: where's the other cup M ?
    MOToh there it is look !
    MOTit's on the desk .

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_Deuchar3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870728er.chaM 2;1.03901333.33

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. where's3 · 100.0%