PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,217 words searched).

  1. good girl . INV · eng_british_Manchester_I/becky15a.cha, line 341 · Becky 2;05
  2. good . MOT · eng_british_Manchester_I/becky15a.cha, line 407 · Becky 2;05
  3. good . MOT · eng_british_Manchester_I/becky15a.cha, line 1139 · Becky 2;05
  4. how [/] how is good ? MOT · eng_british_Manchester_I/becky15a.cha, line 1169 · Becky 2;05
  5. is he good ? MOT · eng_british_Manchester_I/becky15a.cha, line 1171 · Becky 2;05
  6. good . MOT · eng_british_Manchester_I/becky15a.cha, line 1175 · Becky 2;05
  7. not very good blue . MOT · eng_british_Manchester_I/becky15a.cha, line 1703 · Becky 2;05
  1. eng_british_Manchester_I/becky15a.cha, line 341 · Becky, 2;5.01
    CHII 0have [*] done a wee .
    MOTyou finished ?
    INV*INV: good girl .
    CHIyes .
    CHIxxx .
  2. eng_british_Manchester_I/becky15a.cha, line 407 · Becky, 2;5.01
    MOTbut he's alright now , is he ?
    CHIyeah .
    MOT*MOT: good .
    MOTdon't crayon on that , Becky .
    CHIxxx .
  3. eng_british_Manchester_I/becky15a.cha, line 1139 · Becky, 2;5.01
    MOThow are you ?
    CHIfine .
    MOT*MOT: good .
    CHIhow 0is [*] Sukie ?
    MOThow's Sukie ?
  4. eng_british_Manchester_I/becky15a.cha, line 1169 · Becky, 2;5.01
    MOTyou're strangling him .
    CHIhow's you good [*] ?
    MOT*MOT: how [/] how is good ?
    MOTis he good ?
    CHIyeah .
  5. eng_british_Manchester_I/becky15a.cha, line 1171 · Becky, 2;5.01
    CHIhow's you good [*] ?
    MOThow [/] how is good ?
    MOT*MOT: is he good ?
    CHIyeah .
    MOTgood .
  6. eng_british_Manchester_I/becky15a.cha, line 1175 · Becky, 2;5.01
    MOTis he good ?
    CHIyeah .
    MOT*MOT: good .
    CHIhow xxx .
    MOTthank you .
  7. eng_british_Manchester_I/becky15a.cha, line 1703 · Becky, 2;5.01
    MOTblue .
    CHIxxx .
    MOT*MOT: not very good blue .
    MOTpress very hard .
    MOTlet's have a look .

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_I5.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15a.chaBecky 2;5.011,217775.75

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. good7 · 100.0%