PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

22.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (17 utterances, 90 words searched).

  1. alors attends Christophe, il faut trouver un cadeau pour Nanny . MOT · bilingual_eng_french_Watkins/c2zan09.cha, line 19 · Christophe 5;04
  2. give Nanny her presents . MOT · bilingual_eng_french_Watkins/c2zan09.cha, line 20 · Christophe 5;04
  1. bilingual_eng_french_Watkins/c2zan09.cha, line 19 · Christophe, 5;4.09
    FATwww .
    MOTwww .
    MOT*MOT: alors attends Christophe, il faut trouver un cadeau pour Nanny .
    MOTgive Nanny her presents .
    CHIwɛ@u [=? which what where] ?
  2. bilingual_eng_french_Watkins/c2zan09.cha, line 20 · Christophe, 5;4.09
    MOTwww .
    MOTalors attends Christophe, il faut trouver un cadeau pour Nanny .
    MOT*MOT: give Nanny her presents .
    CHIwɛ@u [=? which what where] ?
    MOTnot that one, they're for +/.

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_Watkins22.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan09.chaChristophe 5;4.09902222.22

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. nanny2 · 100.0%