PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

43.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (17 utterances, 92 words searched).

  1. and who else ? GRA · bilingual_eng_french_Watkins/c1zan10.cha, line 13 · Christophe 3;11
  2. and who else ? GRA · bilingual_eng_french_Watkins/c1zan10.cha, line 15 · Christophe 3;11
  3. and who else ? GRA · bilingual_eng_french_Watkins/c1zan10.cha, line 19 · Christophe 3;11
  4. and who else ? GRA · bilingual_eng_french_Watkins/c1zan10.cha, line 21 · Christophe 3;11
  1. bilingual_eng_french_Watkins/c1zan10.cha, line 13 · Christophe, 3;11.29
    GRAyes .
    CHIhello nana .
    GRA*GRA: and who else ?
    CHINanny .
    GRAand who else ?
  2. bilingual_eng_french_Watkins/c1zan10.cha, line 15 · Christophe, 3;11.29
    GRAand who else ?
    CHINanny .
    GRA*GRA: and who else ?
    CHIeuh .
    GRAwhat about Richard ?
  3. bilingual_eng_french_Watkins/c1zan10.cha, line 19 · Christophe, 3;11.29
    GRAwhat about Richard ?
    CHIRichard, Nanny me and Nana .
    GRA*GRA: and who else ?
    CHIMichael .
    GRAand who else ?
  4. bilingual_eng_french_Watkins/c1zan10.cha, line 21 · Christophe, 3;11.29
    GRAand who else ?
    CHIMichael .
    GRA*GRA: and who else ?
    CHINanny .
    GRAcan you think of any other people ?

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. Christophe bilingual_eng_french_Watkins43.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan10.chaChristophe 3;11.29924443.48

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. who4 · 100.0%