PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (301 utterances, 1,154 words searched).

  1. no this must be Bert then . MOT · eng_british_Manchester_II/liz18a.cha, line 346 · Liz 2;05
  2. um well I think we'll be having Anna's toys in a minute . MOT · eng_british_Manchester_II/liz18a.cha, line 1127 · Liz 2;05
  3. and Anna'll be bringing her toys in . MOT · eng_british_Manchester_II/liz18a.cha, line 1157 · Liz 2;05
  4. would that be all right ? MOT · eng_british_Manchester_II/liz18a.cha, line 1179 · Liz 2;05
  5. it might be Elmo . MOT · eng_british_Manchester_II/liz18a.cha, line 1268 · Liz 2;05
  1. eng_british_Manchester_II/liz18a.cha, line 346 · Liz, 2;5.01
    MOT<is this> [/] is this Ernie ?
    CHIno .
    MOT*MOT: no this must be Bert then .
    CHIBert then .
    CHIBert .
  2. eng_british_Manchester_II/liz18a.cha, line 1127 · Liz, 2;5.01
    MOTwww .
    CHI<I want I want> [/] I want to build a tunnel .
    MOT*MOT: um well I think we'll be having Anna's toys in a minute .
    MOTso we'd better not build a tunnel just yet .
    MOTyou can build one later eh ?
  3. eng_british_Manchester_II/liz18a.cha, line 1157 · Liz, 2;5.01
    CHIin a minute .
    MOTyeah because this bit's nearly finished you see .
    MOT*MOT: and Anna'll be bringing her toys in .
    MOTwon't [: willn't] she ?
    CHIwe 0have [*] got building blocks .
  4. eng_british_Manchester_II/liz18a.cha, line 1179 · Liz, 2;5.01
    MOTyeah well we could build one with Anna's bricks when they come in , couldn't we ?
    MOTeh ?
    MOT*MOT: would that be all right ?
    CHIhe's on there .
    MOTyeah .
  5. eng_british_Manchester_II/liz18a.cha, line 1268 · Liz, 2;5.01
    CHIwho's this ?
    MOTum I'm not sure .
    MOT*MOT: it might be Elmo .
    CHIElmo .
    MOTwe don't watch Sesame_Street , do we ?

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. Liz eng_british_Manchester_II4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz18a.chaLiz 2;5.011,154554.33

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. be5 · 100.0%