PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (430 utterances, 1,513 words searched).

  1. what's the lion made with , Becky [//] um Becky . MOT · eng_british_Manchester_I/becky19a.cha, line 917 · Becky 2;06
  2. what's the lion made with ? MOT · eng_british_Manchester_I/becky19a.cha, line 922 · Becky 2;06
  3. what's happened to your trousers ? MOT · eng_british_Manchester_I/becky19a.cha, line 1292 · Becky 2;06
  4. what's the matter ? MOT · eng_british_Manchester_I/becky19a.cha, line 1350 · Becky 2;06
  5. what's the matter , Becky ? MOT · eng_british_Manchester_I/becky19a.cha, line 1352 · Becky 2;06
  6. what's the first line ? MOT · eng_british_Manchester_I/becky19a.cha, line 1705 · Becky 2;06
  1. eng_british_Manchester_I/becky19a.cha, line 917 · Becky, 2;6.19
    INVoh .
    INVthat's brilliant .
    MOT*MOT: what's the lion made with , Becky [//] um Becky .
    CHII don't know .
    MOTwhat's the lion made with ?
  2. eng_british_Manchester_I/becky19a.cha, line 922 · Becky, 2;6.19
    MOTwhat's the lion made with , Becky [//] um Becky .
    CHII don't know .
    MOT*MOT: what's the lion made with ?
    MOTwhat did you use to make him ?
    CHII don't know .
  3. eng_british_Manchester_I/becky19a.cha, line 1292 · Becky, 2;6.19
    MOTyou don't know .
    CHIno .
    MOT*MOT: what's happened to your trousers ?
    MOTyou're losing them , aren't you ?
    CHIthere .
  4. eng_british_Manchester_I/becky19a.cha, line 1350 · Becky, 2;6.19
    MOTyou're not feeling very well ?
    CHIno .
    MOT*MOT: what's the matter ?
    MOTwhat's the matter , Becky ?
    CHII don't know .
  5. eng_british_Manchester_I/becky19a.cha, line 1352 · Becky, 2;6.19
    CHIno .
    MOTwhat's the matter ?
    MOT*MOT: what's the matter , Becky ?
    CHII don't know .
    MOTdon't you ?
  6. eng_british_Manchester_I/becky19a.cha, line 1705 · Becky, 2;6.19
    MOTyou can +//.
    MOTyou know the first line .
    MOT*MOT: what's the first line ?
    CHIhas the first one ?
    CHIcan you remember ?

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_I3.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky19a.chaBecky 2;6.191,513663.97

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. what's6 · 100.0%