PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,873 words searched).

  1. I'm peeling it . MOT · eng_british_Manchester_II/warr16b.cha, line 816 · Warren 2;03
  2. I'm peeling it . MOT · eng_british_Manchester_II/warr16b.cha, line 916 · Warren 2;03
  3. I'm throwing it . MOT · eng_british_Manchester_II/warr16b.cha, line 926 · Warren 2;03
  4. I'm not sure that I can make a horse with er lego . MOT · eng_british_Manchester_II/warr16b.cha, line 1169 · Warren 2;03
  5. I'm not sure that this is entirely successful child but er +... MOT · eng_british_Manchester_II/warr16b.cha, line 1182 · Warren 2;03
  6. I'm sorry . MOT · eng_british_Manchester_II/warr16b.cha, line 1284 · Warren 2;03
  1. eng_british_Manchester_II/warr16b.cha, line 816 · Warren, 2;3.08
    MOTgoing to eat it all up .
    MOTthere .
    MOT*MOT: I'm peeling it .
    MOTthrowing the peel into the bin with great accuracy .
    MOTgone .
  2. eng_british_Manchester_II/warr16b.cha, line 916 · Warren, 2;3.08
    CHIMummy want to peel it .
    MOTyeah .
    MOT*MOT: I'm peeling it .
    CHIMummy eat it all up .
    MOTwhere's Mummy putting the peel ?
  3. eng_british_Manchester_II/warr16b.cha, line 926 · Warren, 2;3.08
    CHIthe bin .
    MOTyeah .
    MOT*MOT: I'm throwing it .
    MOTyou eat some .
    MOTis it nice ?
  4. eng_british_Manchester_II/warr16b.cha, line 1169 · Warren, 2;3.08
    MOTpardon ?
    CHIa horse .
    MOT*MOT: I'm not sure that I can make a horse with er lego .
    MOTjust let me have a go .
    MOTyou want a horse .
  5. eng_british_Manchester_II/warr16b.cha, line 1182 · Warren, 2;3.08
    CHIno .
    CHIMummy see can make a [//] the horses .
    MOT*MOT: I'm not sure that this is entirely successful child but er +...
    MOTdoes it need a tail ?
    CHII want see braces .
  6. eng_british_Manchester_II/warr16b.cha, line 1284 · Warren, 2;3.08
    MOTyou'll just have to wait .
    MOTpet .
    MOT*MOT: I'm sorry .
    MOTyou'll just have to wait .
    CHIxxx .

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_II3.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr16b.chaWarren 2;3.081,873663.20

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. i'm6 · 100.0%