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. tell her what it says ? MOT · bilingual_eng_Deuchar/870728er.cha, line 258 · M 2;01
  2. <how (a)bout her name Aaron> [>] ? RAY · bilingual_eng_Deuchar/870728er.cha, line 383 · M 2;01
  3. how does sp [//] how do you write her name ? MOT · bilingual_eng_Deuchar/870728er.cha, line 390 · M 2;01
  1. bilingual_eng_Deuchar/870728er.cha, line 258 · M, 2;1.03
    RAYI can put them down # there .
    MOTM could you tell Rayna what it says on this card ?
    MOT*MOT: tell her what it says ?
    MOTread it .
    MOTother side # M ?
  2. bilingual_eng_Deuchar/870728er.cha, line 383 · M, 2;1.03
    CHIyes .
    MOTmmm ?
    RAY*RAY: <how (a)bout her name Aaron> [>] ?
    CHI<that's Aaron> [<] .
    CHIAaron .
  3. bilingual_eng_Deuchar/870728er.cha, line 390 · M, 2;1.03
    CHI<that's Aaron> [<] .
    CHIAaron .
    MOT*MOT: how does sp [//] how do you write her name ?
    MOTshall I write it for you ?
    CHImmm mmm Ma mmm M not spoken .

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. her3 · 100.0%