PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (472 utterances, 1,914 words searched).

  1. it's a nice seesaw . MOT · eng_british_Manchester_II/liz03a.cha, line 878 · Liz 2;00
  2. that's very nice . MOT · eng_british_Manchester_II/liz03a.cha, line 1121 · Liz 2;00
  3. oh: they're very nice peas . MOT · eng_british_Manchester_II/liz03a.cha, line 1132 · Liz 2;00
  4. mmm they're very nice . INV · eng_british_Manchester_II/liz03a.cha, line 1143 · Liz 2;00
  1. CHIseesaw .
    MOTthat's it .
    MOT*MOT: it's a nice seesaw .
    CHImatter [: (see_saw_)marjorie(_daw)] .
    MOThmm ?
  2. INVthat's a good idea .
    MOTthank you darling .
    MOT*MOT: that's very nice .
    MOThad I better have a fork # do you think ?
    MOThave you got any ?
  3. MOToh thanks .
    MOTta love .
    MOT*MOT: oh: they're very nice peas .
    MOTare you having them ?
    MOToh you're giving them to Anna .
  4. INVare they for me ?
    INVthank you .
    INV*INV: mmm they're very nice .
    INVthank you .
    CHIno .

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_II2.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz03a.chaLiz 2;0.071,914442.09

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. nice4 · 100.0%