PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (297 utterances, 2,020 words searched).

  1. let's put some men <on the train # let> [>] them ride the train . MAX · eng_USA_Bloom/peter02.cha, line 1018 · Peter 1;09
  2. let's put some men on the train . MAX · eng_USA_Bloom/peter02.cha, line 1027 · Peter 1;09
  3. … here's one # let's give him a ride # here's another # let's take the men for a ride . MAX · eng_USA_Bloom/peter02.cha, line 1031 · Peter 1;09
  4. oh the bike # putting the men on the bike . MAX · eng_USA_Bloom/peter02.cha, line 1041 · Peter 1;09
  5. putting the men in the car ? MAX · eng_USA_Bloom/peter02.cha, line 1047 · Peter 1;09
  6. where are the men going ? MAX · eng_USA_Bloom/peter02.cha, line 1059 · Peter 1;09
  1. CHIhmm .
    MAXit's it's all fit together .
    MAX*MAX: let's put some men <on the train # let> [>] them ride the train .
    CHIhmm [<] .
    CHIhmm .
  2. CHIhmm [<] .
    CHIhmm .
    MAX*MAX: let's put some men on the train .
    CHImm .
    MAXhere # here's one # let's give him a ride # here's another # let's take the men for a ride .
  3. MAXlet's put some men on the train .
    CHImm .
    MAX*MAX: here # here's one # let's give him a ride # here's another # let's take the men for a ride .
    CHIhmm ## yyy .
    MAXoh the bike # putting the men on the bike .
  4. MAXhere # here's one # let's give him a ride # here's another # let's take the men for a ride .
    CHIhmm ## yyy .
    MAX*MAX: oh the bike # putting the men on the bike .
    CHIyyy .
    MAXputting the men in the car ?
  5. MAXoh the bike # putting the men on the bike .
    CHIyyy .
    MAX*MAX: putting the men in the car ?
    CHIoops !
    MAXoops # it fell .
  6. CHIbyebye .
    MAXbyebye ?
    MAX*MAX: where are the men going ?
    MAX0are they going for a ride ?
    CHIhmm .

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. Peter eng_USA_Bloom2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter02.chaPeter 1;9.252,020662.97

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. men6 · 100.0%