PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

9.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (111 utterances, 667 words searched).

  1. you've brought that one in too haven't you ? FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 22 · Jeremy 2;05
  2. take that one out too . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 23 · Jeremy 2;05
  3. that's a big one, put that outside too . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 76 · Jeremy 2;05
  4. they're all big ones, you take them out too . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 101 · Jeremy 2;05
  5. so that's a big one too . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 109 · Jeremy 2;05
  6. that's right move that out too . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 112 · Jeremy 2;05
  1. CHIdʒɜguli@u [=? where shall I] put it ?
    FATand what about that big one there ?
    FAT*FAT: you've brought that one in too haven't you ?
    FATtake that one out too .
    FATyou see ?
  2. FATand what about that big one there ?
    FATyou've brought that one in too haven't you ?
    FAT*FAT: take that one out too .
    FATyou see ?
    FATthat's right .
  3. FATwhat ?
    CHI0v 0subj [*] not small ones ?
    FAT*FAT: that's a big one, put that outside too .
    CHIthere's a small one .
    FATwhat about that one there ?
  4. CHIuhm .
    FAT<now what about one of the> [//] what about those three there ?
    FAT*FAT: they're all big ones, you take them out too .
    CHIyes .
    FATcome on .
  5. CHImoi leave ə@u [: the] big ones ?
    MOTyes outside .
    FAT*FAT: so that's a big one too .
    FATnow what about the small ones ?
    FATwhy don't you move the small ones out while you are about it ?
  6. FATnow what about the small ones ?
    FATwhy don't you move the small ones out while you are about it ?
    FAT*FAT: that's right move that out too .
    CHIno !
    FATwell, go on !

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_Watkins9.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat07.chaJeremy 2;5.12667669.00

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. too6 · 100.0%