PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

23.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (23 utterances, 130 words searched).

  1. and what sort of boat is it ? MOT · bilingual_eng_french_Watkins/b2charous07.cha, line 9 · Olivier 2;08
  2. what kind of boat ? MOT · bilingual_eng_french_Watkins/b2charous07.cha, line 24 · Olivier 2;08
  3. we'll play again when we're on the boat ? MOT · bilingual_eng_french_Watkins/b2charous07.cha, line 44 · Olivier 2;08
  1. bilingual_eng_french_Watkins/b2charous07.cha, line 9 · Olivier, 2;8.
    CHIthere+we+are [*] the boat .
    CHIthere+we+are [*] the boat .
    MOT*MOT: and what sort of boat is it ?
    CHIxxx xxx .
    MOTah .
  2. bilingual_eng_french_Watkins/b2charous07.cha, line 24 · Olivier, 2;8.
    MOThave you got a rope ?
    CHIno 0subj [*] 0v not a rowing boat .
    MOT*MOT: what kind of boat ?
    CHI&je &jen a liner .
    MOTthat's all right then, it's got a big motor to push it along .
  3. bilingual_eng_french_Watkins/b2charous07.cha, line 44 · Olivier, 2;8.
    CHIxxx .
    MOTwe're not arrived yet # no .
    MOT*MOT: we'll play again when we're on the boat ?
    CHIyes .
    MOTwhat kind of game ?

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. Olivier bilingual_eng_french_Watkins23.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous07.chaOlivier 2;8.1303323.08

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. boat3 · 100.0%