PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

62.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (21 utterances, 64 words searched).

  1. [- to MOT] talking of which I really must get around to finding myself a de… FAT · bilingual_eng_french_Watkins/a01wat10.cha, line 10 · Jeremy 2;09
  2. [- to MOT] talking of which I really must get around to finding myself a dentist . FAT · bilingual_eng_french_Watkins/a01wat10.cha, line 10 · Jeremy 2;09
  3. [- to CH1] what are you doing, bonking the table ? FAT · bilingual_eng_french_Watkins/a01wat10.cha, line 21 · Jeremy 2;09
  4. [- to CH1] Poussin please stop . MOT · bilingual_eng_french_Watkins/a01wat10.cha, line 26 · Jeremy 2;09
  1. bilingual_eng_french_Watkins/a01wat10.cha, line 10 · Jeremy, 2;9.17
    FAT*FAT: [- to MOT] talking of which I really must get around to finding myself a dentist .
    MOTwww .
    FATwww .
  2. bilingual_eng_french_Watkins/a01wat10.cha, line 21 · Jeremy, 2;9.17
    MOTwww .
    CHImoi bonk ə@u [: the] table .
    FAT*FAT: [- to CH1] what are you doing, bonking the table ?
    MOTwww .
    CHImoi bonking ɩ@u [: the] table .
  3. bilingual_eng_french_Watkins/a01wat10.cha, line 26 · Jeremy, 2;9.17
    MOTwww .
    FATwww .
    MOT*MOT: [- to CH1] Poussin please stop .
    CHII'm bonking ə@u [: the] table .
    MOTyes well stop, okay we got it .

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_Watkins62.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat10.chaJeremy 2;9.17643462.50

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.

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