PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (359 utterances, 1,619 words searched).

  1. look at this poor dolly . MOT · eng_british_Manchester_II/warr08b.cha, line 51 · Warren 2;00
  2. look . MOT · eng_british_Manchester_II/warr08b.cha, line 551 · Warren 2;00
  3. look at the monkey hanging off . MOT · eng_british_Manchester_II/warr08b.cha, line 559 · Warren 2;00
  4. and look what we've got here . MOT · eng_british_Manchester_II/warr08b.cha, line 715 · Warren 2;00
  5. oh look . MOT · eng_british_Manchester_II/warr08b.cha, line 725 · Warren 2;00
  6. because look . MOT · eng_british_Manchester_II/warr08b.cha, line 801 · Warren 2;00
  7. look at this sock . MOT · eng_british_Manchester_II/warr08b.cha, line 803 · Warren 2;00
  8. look at this sock . MOT · eng_british_Manchester_II/warr08b.cha, line 807 · Warren 2;00
  1. MOTare they sleeping in the car ?
    MOTthat's a funny place to sleep .
    MOT*MOT: look at this poor dolly .
    MOTI bet she's cold , isn't she ?
    MOTwhat's she wearing ?
  2. MOTthe fish on the top .
    MOTfish on top .
    MOT*MOT: look .
    MOTa monkey .
    CHIgo throw down .
  3. CHIgo throw down .
    CHIthrow down .
    MOT*MOT: look at the monkey hanging off .
    MOTdon't bash with bricks .
    MOTdid that hurt ?
  4. CHIplease .
    MOTwe've got the wibbly@wp wobbly .
    MOT*MOT: and look what we've got here .
    CHIegg .
    CHImore eggs .
  5. CHItwo eggs .
    CHIbottle .
    MOT*MOT: oh look .
    MOThere's another egg .
    MOThow many eggs now ?
  6. MOTcan I put your socks on properly sweetheart ?
    MOTcome and sit here .
    MOT*MOT: because look .
    MOTlook at this sock .
    MOTit's falling off .
  7. MOTcome and sit here .
    MOTbecause look .
    MOT*MOT: look at this sock .
    MOTit's falling off .
    MOTlook at this sock .
  8. MOTlook at this sock .
    MOTit's falling off .
    MOT*MOT: look at this sock .
    MOTit's upside down and falling off .
    CHIMummy eat apple .

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_II4.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr08b.chaWarren 2;0.241,619884.94

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. look8 · 100.0%