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. that's not too bad is it ? MOT · bilingual_eng_french_Watkins/b2charous07.cha, line 37 · Olivier 2;08
  2. we're not arrived yet # no . MOT · bilingual_eng_french_Watkins/b2charous07.cha, line 43 · Olivier 2;08
  3. with the dollies' house # O K # why not . MOT · bilingual_eng_french_Watkins/b2charous07.cha, line 48 · Olivier 2;08
  1. CHItwo .
    MOTtwo francs ?
    MOT*MOT: that's not too bad is it ?
    MOThave we arrived yet ?
    CHI### xxx # sept+heures+et+demie .
  2. MOTwe're arrived uhuh O K .
    CHIxxx .
    MOT*MOT: we're not arrived yet # no .
    MOTwe'll play again when we're on the boat ?
    CHIyes .
  3. MOTwhat kind of game ?
    CHIum # <a dolly hat> [//] dollies' house .
    MOT*MOT: with the dollies' house # O K # why not .

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. not3 · 100.0%