PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,470 words searched).

  1. come here . MOT · eng_british_Manchester_II/liz09b.cha, line 871 · Liz 2;02
  2. come here . MOT · eng_british_Manchester_II/liz09b.cha, line 873 · Liz 2;02
  3. come on . MOT · eng_british_Manchester_II/liz09b.cha, line 895 · Liz 2;02
  4. come on . MOT · eng_british_Manchester_II/liz09b.cha, line 897 · Liz 2;02
  5. come on then . MOT · eng_british_Manchester_II/liz09b.cha, line 921 · Liz 2;02
  6. come here . MOT · eng_british_Manchester_II/liz09b.cha, line 923 · Liz 2;02
  7. come on then . MOT · eng_british_Manchester_II/liz09b.cha, line 1405 · Liz 2;02
  1. eng_british_Manchester_II/liz09b.cha, line 871 · Liz, 2;2.02
    CHItea all gone .
    MOTit's all gone .
    MOT*MOT: come here .
    MOTcome here .
    MOTwhat's [/] what's the matter ?
  2. eng_british_Manchester_II/liz09b.cha, line 873 · Liz, 2;2.02
    MOTit's all gone .
    MOTcome here .
    MOT*MOT: come here .
    MOTwhat's [/] what's the matter ?
    CHIAnna all gone .
  3. eng_british_Manchester_II/liz09b.cha, line 895 · Liz, 2;2.02
    CHItossing .
    MOTyeah on the floor ?
    MOT*MOT: come on .
    MOTcome on .
    MOTdo you want to wee ?
  4. eng_british_Manchester_II/liz09b.cha, line 897 · Liz, 2;2.02
    MOTyeah on the floor ?
    MOTcome on .
    MOT*MOT: come on .
    MOTdo you want to wee ?
    CHIno .
  5. eng_british_Manchester_II/liz09b.cha, line 921 · Liz, 2;2.02
    MOTokay .
    CHIagain .
    MOT*MOT: come on then .
    MOTcome here .
    MOTturn that way otherwise you'll hit the couch .
  6. eng_british_Manchester_II/liz09b.cha, line 923 · Liz, 2;2.02
    CHIagain .
    MOTcome on then .
    MOT*MOT: come here .
    MOTturn that way otherwise you'll hit the couch .
    MOTright head down .
  7. eng_british_Manchester_II/liz09b.cha, line 1405 · Liz, 2;2.02
    MOTyou need a wee ?
    MOTokay .
    MOT*MOT: come on then .
    MOTthere you are .
    CHIknickers off .

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. Liz eng_british_Manchester_II4.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz09b.chaLiz 2;2.021,470774.76

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. come7 · 100.0%