PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 2,050 words searched).

  1. there's a deep hole . MOT · eng_british_Manchester_II/warr28a.cha, line 492 · Warren 2;07
  2. there's two ears . MOT · eng_british_Manchester_II/warr28a.cha, line 810 · Warren 2;07
  3. there's Paul and Daddy . MOT · eng_british_Manchester_II/warr28a.cha, line 1029 · Warren 2;07
  4. and there's Warren . MOT · eng_british_Manchester_II/warr28a.cha, line 1108 · Warren 2;07
  5. there's Mummy . MOT · eng_british_Manchester_II/warr28a.cha, line 1284 · Warren 2;07
  6. there's Mummy on her bike with her hair spraying [//] flying out behind . MOT · eng_british_Manchester_II/warr28a.cha, line 1354 · Warren 2;07
  7. there's a funny rhinoceros . MOT · eng_british_Manchester_II/warr28a.cha, line 1446 · Warren 2;07
  1. CHImy [*] make it .
    MOTwell you can make another one .
    MOT*MOT: there's a deep hole .
    MOTyou make another deep hole .
    CHIon the end .
  2. MOTdoes he ?
    MOTdoes he need lots of hair or a little bit ?
    MOT*MOT: there's two ears .
    MOTshall Mummy put some hair on Daddy ?
    CHIyes .
  3. CHIDaddy's got a smile .
    MOTlook .
    MOT*MOT: there's Paul and Daddy .
    MOTthat's what they looked like on Friday night when they came in .
    MOTwho shall I make next ?
  4. CHIsquashed Warren's mouth .
    MOTlook .
    MOT*MOT: and there's Warren .
    CHIlook at that .
    MOTso who have we got ?
  5. MOTI look like a mad monk .
    MOTMummy's got her hair in a ponytail .
    MOT*MOT: there's Mummy .
    CHIno .
    CHInext to Warren .
  6. MOTlook .
    MOTthere we go .
    MOT*MOT: there's Mummy on her bike with her hair spraying [//] flying out behind .
    MOTthere you go .
    MOTwhat's happened to my nose ?
  7. MOTjust leave it .
    MOTthere we go .
    MOT*MOT: there's a funny rhinoceros .
    CHI<no no> [/] no .
    MOToh sorry .

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. Warren eng_british_Manchester_II3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr28a.chaWarren 2;7.122,050773.41

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. there's7 · 100.0%