PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (603 utterances, 2,143 words searched).

  1. shall we put these eggs in the basket now ? MOT · eng_british_Manchester_I/becky09b.cha, line 256 · Becky 2;02
  2. shall [<] we put the cake in ? MOT · eng_british_Manchester_I/becky09b.cha, line 269 · Becky 2;02
  3. because we get [//] can't find it . MOT · eng_british_Manchester_I/becky09b.cha, line 1140 · Becky 2;02
  4. we'll have to ask him later if he knows where it is . MOT · eng_british_Manchester_I/becky09b.cha, line 1157 · Becky 2;02
  5. better be careful when we go in the garden then if there's a monster in the trees , hadn't we ? MOT · eng_british_Manchester_I/becky09b.cha, line 1546 · Becky 2;02
  6. …n we go in the garden then if there's a monster in the trees , hadn't we ? MOT · eng_british_Manchester_I/becky09b.cha, line 1546 · Becky 2;02
  1. eng_british_Manchester_I/becky09b.cha, line 256 · Becky, 2;2.30
    MOTlike that , look .
    MOTyeah ?
    MOT*MOT: shall we put these eggs in the basket now ?
    CHIyeah .
    CHIwhat is that ?
  2. eng_british_Manchester_I/becky09b.cha, line 269 · Becky, 2;2.30
    MOTthat's a cake .
    CHIcake [>] .
    MOT*MOT: shall [<] we put the cake in ?
    CHIyeah .
    MOTand that's a big tomato .
  3. eng_british_Manchester_I/becky09b.cha, line 1140 · Becky, 2;2.30
    MOTwhere is it ?
    CHIum # +...
    MOT*MOT: because we get [//] can't find it .
    MOTthought you might know where it was .
    CHIyou [/] you will find it .
  4. eng_british_Manchester_I/becky09b.cha, line 1157 · Becky, 2;2.30
    MOTI think daddy put it away yesterday , Becky .
    MOTI'm not quite sure where it is .
    MOT*MOT: we'll have to ask him later if he knows where it is .
    CHII see that one .
    MOThmm ?
  5. eng_british_Manchester_I/becky09b.cha, line 1546 · Becky, 2;2.30
    MOThas it ?
    CHIyeah .
    MOT*MOT: better be careful when we go in the garden then if there's a monster in the trees , hadn't we ?
    CHImmhm .
    MOThmm ?

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. Becky eng_british_Manchester_I2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09b.chaBecky 2;2.302,143562.80

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. we6 · 100.0%