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. yeah first <I make you xxx > [>] . RAY · bilingual_eng_Deuchar/870728er.cha, line 281 · M 2;01
  2. yeah . RAY · bilingual_eng_Deuchar/870728er.cha, line 351 · M 2;01
  3. yeah [>] . RAY · bilingual_eng_Deuchar/870728er.cha, line 512 · M 2;01
  1. bilingual_eng_Deuchar/870728er.cha, line 281 · M, 2;1.03
    RAYgranny grandpa .
    MOTyes # shall we write um Rayna's name now ?
    RAY*RAY: yeah first <I make you xxx > [>] .
    CHI<make M Rayna # David> [<] Aaron .
    MOTI'm not sure how to write [//] spell your name .
  2. bilingual_eng_Deuchar/870728er.cha, line 351 · M, 2;1.03
    MOTI've already written Rayna .
    MOTI'm going to write um shall I write a Aaron .
    RAY*RAY: yeah .
    CHIthat Aaron .
    MOTthis one is for Aaron ok .
  3. bilingual_eng_Deuchar/870728er.cha, line 512 · M, 2;1.03
    CHIyyy .
    MOTok you guys I think we should take a shower .
    RAY*RAY: yeah [>] .
    CHImmm [<] take bag shower .
    MOT<mmm xxx put all these things away shall we> [>] ?

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. yeah3 · 100.0%