PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (116 utterances, 457 words searched).

  1. [- to CH1] hey what about your pasta Master Jeremy ? MOT · bilingual_eng_french_Watkins/a01wat09.cha, line 129 · Jeremy 2;05
  2. Master Jeremy you have'nt finished your pasta, go on . FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 130 · Jeremy 2;05
  1. bilingual_eng_french_Watkins/a01wat09.cha, line 129 · Jeremy, 2;5.17
    FAT[- to MOT] you don't want some of this ?
    MOTno .
    MOT*MOT: [- to CH1] hey what about your pasta Master Jeremy ?
    FATMaster Jeremy you have'nt finished your pasta, go on .
    CHIxx xx that too .
  2. bilingual_eng_french_Watkins/a01wat09.cha, line 130 · Jeremy, 2;5.17
    MOTno .
    MOT[- to CH1] hey what about your pasta Master Jeremy ?
    FAT*FAT: Master Jeremy you have'nt finished your pasta, go on .
    CHIxx xx that too .
    MOTdon't you want to finish your pasta ?

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. Jeremy bilingual_eng_french_Watkins4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat09.chaJeremy 2;5.17457224.38

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. master2 · 100.0%