PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,601 words searched).

  1. thank you . INV · eng_british_Manchester_I/domin02b.cha, line 363 · Dominic 1;11
  2. thank you . MOT · eng_british_Manchester_I/domin02b.cha, line 553 · Dominic 1;11
  3. thank you . MOT · eng_british_Manchester_I/domin02b.cha, line 740 · Dominic 1;11
  4. thank you . MOT · eng_british_Manchester_I/domin02b.cha, line 1124 · Dominic 1;11
  1. INVoh yes .
    INVmmm .
    INV*INV: thank you .
    MOTthis is a bit of cheese .
    MOTyou like cheese , don't you ?
  2. CHIxxx .
    MOT<that's one> [/] that's one way of putting them on , Dominic .
    MOT*MOT: thank you .
    CHIno no no .
    MOTno no no what ?
  3. MOTI was gonna [: going to] help you .
    CHIxxx .
    MOT*MOT: thank you .
    MOTnow .
    MOTlet me put it on .
  4. MOTare you gonna [: going to] put them back on there ?
    MOTI'll keep the burger .
    MOT*MOT: thank you .
    CHIoh .
    MOTwhy are you trying to eat everything ?

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. Dominic eng_british_Manchester_I2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin02b.chaDominic 1;11.1,601442.50

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. thank4 · 100.0%