PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,218 words searched).

  1. let's have a look then . MOT · eng_british_Manchester_II/john32a.cha, line 48 · John 2;10
  2. let's have a look then . MOT · eng_british_Manchester_II/john32a.cha, line 60 · John 2;10
  3. what are they about then ? INV · eng_british_Manchester_II/john32a.cha, line 105 · John 2;10
  4. okay then , John . MOT · eng_british_Manchester_II/john32a.cha, line 326 · John 2;10
  5. let me put the rubbish away then . MOT · eng_british_Manchester_II/john32a.cha, line 910 · John 2;10
  6. and then we can draw the cow . MOT · eng_british_Manchester_II/john32a.cha, line 1049 · John 2;10
  1. eng_british_Manchester_II/john32a.cha, line 48 · John, 2;10.09
    MOTwhat's inside ?
    CHITumble_Tots .
    MOT*MOT: let's have a look then .
    MOTcan you get it out ?
    CHIthat 0is [*] from Tumble_Tots .
  2. eng_british_Manchester_II/john32a.cha, line 60 · John, 2;10.09
    MOTwww .
    CHIfrom Tumble_Tots .
    MOT*MOT: let's have a look then .
    CHITumble_Tots .
    CHIfrom Tumble_Tots .
  3. eng_british_Manchester_II/john32a.cha, line 105 · John, 2;10.09
    INVa green one as well .
    INVmmhm .
    INV*INV: what are they about then ?
    CHImy money .
    CHImy money is stuck .
  4. eng_british_Manchester_II/john32a.cha, line 326 · John, 2;10.09
    INVoh yeah .
    INVher hand's disappeared there .
    MOT*MOT: okay then , John .
    MOToh very good John .
    MOTwell done .
  5. eng_british_Manchester_II/john32a.cha, line 910 · John, 2;10.09
    CHI<no no> [/] no .
    CHIno [/] no .
    MOT*MOT: let me put the rubbish away then .
    CHIno .
    CHIxxx .
  6. eng_british_Manchester_II/john32a.cha, line 1049 · John, 2;10.09
    CHImagic .
    MOTyes .
    MOT*MOT: and then we can draw the cow .
    MOTshall I draw the shape ?
    MOTthere we are .

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. John eng_british_Manchester_II4.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john32a.chaJohn 2;10.091,218664.93

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. then6 · 100.0%