PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,317 words searched).

  1. now what are you doing ? MOT · eng_british_Manchester_II/liz15a.cha, line 97 · Liz 2;04
  2. where's Liz gone now ? MOT · eng_british_Manchester_II/liz15a.cha, line 554 · Liz 2;04
  3. now you're a bit close to here . MOT · eng_british_Manchester_II/liz15a.cha, line 824 · Liz 2;04
  4. no I'm fine now thanks . MOT · eng_british_Manchester_II/liz15a.cha, line 973 · Liz 2;04
  5. had enough now . MOT · eng_british_Manchester_II/liz15a.cha, line 977 · Liz 2;04
  6. no I'm all right now ta . MOT · eng_british_Manchester_II/liz15a.cha, line 983 · Liz 2;04
  7. all gone now . MOT · eng_british_Manchester_II/liz15a.cha, line 1344 · Liz 2;04
  1. eng_british_Manchester_II/liz15a.cha, line 97 · Liz, 2;4.03
    CHIoh: .
    MOTare you mixing them up ?
    MOT*MOT: now what are you doing ?
    MOTLiz .
    MOTcome here .
  2. eng_british_Manchester_II/liz15a.cha, line 554 · Liz, 2;4.03
    MOTwhee .
    MOToh: .
    MOT*MOT: where's Liz gone now ?
    MOTboo .
    CHII want .
  3. eng_british_Manchester_II/liz15a.cha, line 824 · Liz, 2;4.03
    MOTthat's lovely .
    MOTyeah that'll [/] that'll do .
    MOT*MOT: now you're a bit close to here .
    MOTthere we go .
    MOTthat's it .
  4. eng_british_Manchester_II/liz15a.cha, line 973 · Liz, 2;4.03
    CHIall gone .
    CHIyou want some more ?
    MOT*MOT: no I'm fine now thanks .
    CHIyou want +/.
    MOThad enough now .
  5. eng_british_Manchester_II/liz15a.cha, line 977 · Liz, 2;4.03
    MOTno I'm fine now thanks .
    CHIyou want +/.
    MOT*MOT: had enough now .
    CHIsome .
    CHIany more ?
  6. eng_british_Manchester_II/liz15a.cha, line 983 · Liz, 2;4.03
    CHIsome .
    CHIany more ?
    MOT*MOT: no I'm all right now ta .
    MOTyou have some .
    MOToh: .
  7. eng_british_Manchester_II/liz15a.cha, line 1344 · Liz, 2;4.03
    CHIand all gone .
    CHIand all gone .
    MOT*MOT: all gone now .
    CHIdo it again ?
    MOTI don't think there's anything else to put under there , is there ?

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_II5.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz15a.chaLiz 2;4.031,317775.32

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. now7 · 100.0%