PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,524 words searched).

  1. yeah . MOT · eng_british_Manchester_I/becky26a.cha, line 70 · Becky 2;08
  2. yeah ? INV · eng_british_Manchester_I/becky26a.cha, line 140 · Becky 2;08
  3. oh yeah . INV · eng_british_Manchester_I/becky26a.cha, line 780 · Becky 2;08
  4. yeah . MOT · eng_british_Manchester_I/becky26a.cha, line 1061 · Becky 2;08
  5. yeah . INV · eng_british_Manchester_I/becky26a.cha, line 1086 · Becky 2;08
  6. yeah ? INV · eng_british_Manchester_I/becky26a.cha, line 1588 · Becky 2;08
  1. eng_british_Manchester_I/becky26a.cha, line 70 · Becky, 2;8.30
    MOTis it all gone now ?
    MOTjust [/] just drink that and then I'll take it out .
    MOT*MOT: yeah .
    MOTgo on .
    MOThave a cup .
  2. eng_british_Manchester_I/becky26a.cha, line 140 · Becky, 2;8.30
    CHIcan you write Monday ?
    INVwrite Monday ?
    INV*INV: yeah ?
    INV<do you want me to write Monday> [>] ?
    MOT<don't bite that , Becky> [<] .
  3. eng_british_Manchester_I/becky26a.cha, line 780 · Becky, 2;8.30
    MOTthere you are .
    CHIsee it ?
    INV*INV: oh yeah .
    MOTa crocodile .
    CHIwhat has that bed [*] ?
  4. eng_british_Manchester_I/becky26a.cha, line 1061 · Becky, 2;8.30
    MOTwhat've you done ?
    CHII drew that there .
    MOT*MOT: yeah .
    MOTyou have drawn there .
    MOTbut that was ages ago when you were a baby .
  5. eng_british_Manchester_I/becky26a.cha, line 1086 · Becky, 2;8.30
    INVI'll have a look <in a minute> [>] .
    MOT<Caroline can> [<] have a look <when she goes> [/] where she goes out .
    INV*INV: yeah .
    MOTto the car .
    INVwhen the tape's finished .
  6. eng_british_Manchester_I/becky26a.cha, line 1588 · Becky, 2;8.30
    INVwow .
    CHI<I was> [/] I was watching with that video .
    INV*INV: yeah ?
    INVwere you ?
    CHIyes .

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_I3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky26a.chaBecky 2;8.301,524663.94

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. yeah6 · 100.0%