PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

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

  1. shall she write it in your book for you ? MOT · eng_british_Manchester_I/becky26a.cha, line 155 · Becky 2;08
  2. did she ? MOT · eng_british_Manchester_I/becky26a.cha, line 1005 · Becky 2;08
  3. <Caroline can> [<] have a look <when she goes> [/] where she goes out . MOT · eng_british_Manchester_I/becky26a.cha, line 1082 · Becky 2;08
  4. <Caroline can> [<] have a look <when she goes> [/] where she goes out . MOT · eng_british_Manchester_I/becky26a.cha, line 1082 · Becky 2;08
  1. MOTin your book ?
    MOTdo you want Caroline to write it down in your book ?
    MOT*MOT: shall she write it in your book for you ?
    MOTdon't break that .
    INVdo you want me to write Monday ?
  2. INVnot in the bath .
    CHImy [*] did .
    MOT*MOT: did she ?
    INVdid you ?
    CHIyeah .
  3. INVwell .
    INVI'll have a look <in a minute> [>] .
    MOT*MOT: <Caroline can> [<] have a look <when she goes> [/] where she goes out .
    INVyeah .
    MOTto the car .

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_I2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky26a.chaBecky 2;8.301,524342.62

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. she4 · 100.0%