PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

7.58 per 1,000 words of the child (CHI), in 1 of 1 transcripts (273 utterances, 792 words searched).

  1. by the nose . CHI · eng_USA_Brown/sarah105.cha, line 66 · Sarah 4;04
  2. pow # right in the nose . CHI · eng_USA_Brown/sarah105.cha, line 69 · Sarah 4;04
  3. you [?] put the nose # um +... CHI · eng_USA_Brown/sarah105.cha, line 1050 · Sarah 4;04
  4. um # yeah # the nose . CHI · eng_USA_Brown/sarah105.cha, line 1158 · Sarah 4;04
  5. you did the eyes # and she did the nose . CHI · eng_USA_Brown/sarah105.cha, line 1324 · Sarah 4;04
  6. see # one nose . CHI · eng_USA_Brown/sarah105.cha, line 1327 · Sarah 4;04
  1. eng_USA_Brown/sarah105.cha, line 66 · Sarah, 4;4.18
    CHIget the gold .
    CHIhow ?
    CHI*CHI: by the nose .
    CHIpow # right in the nose .
    CHI<bing@o # bing@o # bing@o> [/] # bing@o .
  2. eng_USA_Brown/sarah105.cha, line 69 · Sarah, 4;4.18
    CHIhow ?
    CHIby the nose .
    CHI*CHI: pow # right in the nose .
    CHI<bing@o # bing@o # bing@o> [/] # bing@o .
    CHIlet me beat up myself .
  3. eng_USA_Brown/sarah105.cha, line 1050 · Sarah, 4;4.18
    CHIwhoa .
    CHInow # le(t) me see .
    CHI*CHI: you [?] put the nose # um +...
    CHIand you [?] put the eyes # and I put the mouth .
    GAIok .
  4. eng_USA_Brown/sarah105.cha, line 1158 · Sarah, 4;4.18
    CHIthere .
    GAIanything else ?
    CHI*CHI: um # yeah # the nose .
    CHI<I'm> [/] I'm gonna make the ears # ok ?
    MELwhere do you want the nose ?
  5. eng_USA_Brown/sarah105.cha, line 1324 · Sarah, 4;4.18
    CHII did the mouth +...
    GAIwhat ?
    CHI*CHI: you did the eyes # and she did the nose .
    CHIsee # one nose .
    MOTwhat's that ?
  6. eng_USA_Brown/sarah105.cha, line 1327 · Sarah, 4;4.18
    GAIwhat ?
    CHIyou did the eyes # and she did the nose .
    CHI*CHI: see # one nose .
    MOTwhat's that ?
    MOTthat can't be rosy cheeks .

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_Brown7.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.18792667.58

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%