PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

21.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (22 utterances, 95 words searched).

  1. do your funny eyes to Nanny . MOT · bilingual_eng_french_Watkins/c2zan17.cha, line 38 · Christophe 6;06
  2. show her how you do your eyes . MOT · bilingual_eng_french_Watkins/c2zan17.cha, line 39 · Christophe 6;06
  1. bilingual_eng_french_Watkins/c2zan17.cha, line 38 · Christophe, 6;6.12
    GRAwell done poser .
    MOTStephanie, can you do a normal face, that's it do a normal face, no .
    MOT*MOT: do your funny eyes to Nanny .
    MOTshow her how you do your eyes .
    GRAxx .
  2. bilingual_eng_french_Watkins/c2zan17.cha, line 39 · Christophe, 6;6.12
    MOTStephanie, can you do a normal face, that's it do a normal face, no .
    MOTdo your funny eyes to Nanny .
    MOT*MOT: show her how you do your eyes .
    GRAxx .
    CHIcan you film me ?

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_Watkins21.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan17.chaChristophe 6;6.12952221.05

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. eyes2 · 100.0%