PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.65 per 1,000 words of the child (CHI), in 1 of 1 transcripts (299 utterances, 1,076 words searched).

  1. I should get a really one . CHI · eng_USA_Brown/sarah067.cha, line 109 · Sarah 3;06
  2. she should ha(ve) [?] # xxx (a)n(d) uh one uh two uh xxx . CHI · eng_USA_Brown/sarah067.cha, line 1022 · Sarah 3;06
  3. we should have a little bear . CHI · eng_USA_Brown/sarah067.cha, line 1123 · Sarah 3;06
  4. we should have a little bear . CHI · eng_USA_Brown/sarah067.cha, line 1125 · Sarah 3;06
  5. we should have # a +... CHI · eng_USA_Brown/sarah067.cha, line 1140 · Sarah 3;06
  1. eng_USA_Brown/sarah067.cha, line 109 · Sarah, 3;6.30
    CHIit's not a really one .
    MOTno ?
    CHI*CHI: I should get a really one .
    MOTwhom [//] # who would ya talk to if ya had a really one ?
    CHIEaster_Bunny .
  2. eng_USA_Brown/sarah067.cha, line 1022 · Sarah, 3;6.30
    CHI<Mary had a little lamb> [=! singing] . [+ bch]
    CHIMary had a two little lambs .
    CHI*CHI: she should ha(ve) [?] # xxx (a)n(d) uh one uh two uh xxx .
    CHIMary had a little lamb [/] # little lamb .
    CHIMary had a little lamb # funny little lamb # a bunny # oh if he had been .
  3. eng_USA_Brown/sarah067.cha, line 1123 · Sarah, 3;6.30
    CHIbang you in the hole +...
    CHI<where's the> [/] # where's the # xxx .
    CHI*CHI: we should have a little bear .
    CHIwe should have a little bear .
    MOTwhere'd cha hear that song ?
  4. eng_USA_Brown/sarah067.cha, line 1125 · Sarah, 3;6.30
    CHI<where's the> [/] # where's the # xxx .
    CHIwe should have a little bear .
    CHI*CHI: we should have a little bear .
    MOTwhere'd cha hear that song ?
    CHIum # down to school .
  5. eng_USA_Brown/sarah067.cha, line 1140 · Sarah, 3;6.30
    CHI0 .
    MOTyou are huh ?
    CHI*CHI: we should have # a +...
    CHIthat one doesn't work anyhow .
    CHII could stand xxx that one .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Sarah eng_USA_Brown4.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah067.chaSarah 3;6.301,076554.65

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. should5 · 100.0%