PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.96 per 1,000 words of the child (CHI), in 1 of 1 transcripts (426 utterances, 1,007 words searched).

  1. me [*] 0have [*] got find hippo nose . CHI · eng_british_Manchester_I/becky18a.cha, line 132 · Becky 2;06
  2. find a birdie's nose . CHI · eng_british_Manchester_I/becky18a.cha, line 261 · Becky 2;06
  3. put it on your nose . CHI · eng_british_Manchester_I/becky18a.cha, line 406 · Becky 2;06
  4. <do you need a> [/] do you need a nose ? CHI · eng_british_Manchester_I/becky18a.cha, line 1701 · Becky 2;06
  5. um and then touch the nose . CHI · eng_british_Manchester_I/becky18a.cha, line 1717 · Becky 2;06
  6. a pink nose ? CHI · eng_british_Manchester_I/becky18a.cha, line 1915 · Becky 2;06
  1. eng_british_Manchester_I/becky18a.cha, line 132 · Becky, 2;6.05
    MOTright .
    MOTyour [/] your go now then , Becky .
    CHI*CHI: me [*] 0have [*] got find hippo nose .
    MOTyou've gotta find hippo's nose .
    MOToh .
  2. eng_british_Manchester_I/becky18a.cha, line 261 · Becky, 2;6.05
    CHII just xxx .
    MOTwhat did you find ?
    CHI*CHI: find a birdie's nose .
    MOTthe birdie's nose .
    MOToh no .
  3. eng_british_Manchester_I/becky18a.cha, line 406 · Becky, 2;6.05
    MOTno .
    MOTthat's right .
    CHI*CHI: put it on your nose .
    CHIthere .
    MOTthere's not right .
  4. eng_british_Manchester_I/becky18a.cha, line 1701 · Becky, 2;6.05
    CHIwhy ?
    INVbecause my eyesight's okay .
    CHI*CHI: <do you need a> [/] do you need a nose ?
    INVI do need a nose .
    INVyes .
  5. eng_british_Manchester_I/becky18a.cha, line 1717 · Becky, 2;6.05
    INVright .
    CHIxxx .
    CHI*CHI: um and then touch the nose .
    INVyou [/] you what ?
    MOTgoing to touch your nose ?
  6. eng_british_Manchester_I/becky18a.cha, line 1915 · Becky, 2;6.05
    CHIxxx .
    MOTa pink nose .
    CHI*CHI: a pink nose ?
    MOTuhhum .
    CHIand need some eyes .

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. Becky eng_british_Manchester_I5.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18a.chaBecky 2;6.051,007665.96

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. nose6 · 100.0%