PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (579 utterances, 2,054 words searched).

  1. +" here I am . MOT · eng_british_Manchester_II/nic03a.cha, line 1290 · Nicole 2;01
  2. +" here I am . MOT · eng_british_Manchester_II/nic03a.cha, line 1292 · Nicole 2;01
  3. +" <here I am> [>] . MOT · eng_british_Manchester_II/nic03a.cha, line 1320 · Nicole 2;01
  4. +" here I am . MOT · eng_british_Manchester_II/nic03a.cha, line 1324 · Nicole 2;01
  5. +" here I am here I am . MOT · eng_british_Manchester_II/nic03a.cha, line 1332 · Nicole 2;01
  6. +" here I am here I am . MOT · eng_british_Manchester_II/nic03a.cha, line 1332 · Nicole 2;01
  1. MOTcome on .
    MOTyou do it .
    MOT*MOT: +" here I am .
    MOT+" here I am .
    MOT+" how do +//.
  2. MOTyou do it .
    MOT+" here I am .
    MOT*MOT: +" here I am .
    MOT+" how do +//.
    MOTwell .
  3. MOTPeter_Pointer ?
    CHI+" peter pointer where are you ?
    MOT*MOT: +" <here I am> [>] .
    CHI+" <here I am> [<] .
    MOT+" here I am .
  4. MOT+" <here I am> [>] .
    CHI+" <here I am> [<] .
    MOT*MOT: +" here I am .
    MOT+" how do you do .
    MOTwhat's the next one ?
  5. MOTwhat's the next one ?
    MOT+" Toby_tall Toby_tall where are you ?
    MOT*MOT: +" here I am here I am .
    MOT+" how do you do ?
    CHI+" peter pointer where are you ?

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. Nicole eng_british_Manchester_II2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic03a.chaNicole 2;1.152,054562.92

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. am6 · 100.0%