PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (252 utterances, 1,064 words searched).

  1. oh I see . MOT · eng_british_Manchester_II/warr25b.cha, line 492 · Warren 2;06
  2. pull the soft stuff off and see what you can find . MOT · eng_british_Manchester_II/warr25b.cha, line 637 · Warren 2;06
  3. see if we can get a good picture of lion's face . MOT · eng_british_Manchester_II/warr25b.cha, line 761 · Warren 2;06
  4. I think I see . MOT · eng_british_Manchester_II/warr25b.cha, line 1044 · Warren 2;06
  5. what we can do you see . MOT · eng_british_Manchester_II/warr25b.cha, line 1083 · Warren 2;06
  6. that's another problem you see . MOT · eng_british_Manchester_II/warr25b.cha, line 1133 · Warren 2;06
  1. eng_british_Manchester_II/warr25b.cha, line 492 · Warren, 2;6.24
    CHII make some more holes .
    CHII make some more holes .
    MOT*MOT: oh I see .
    MOTthis is what you're going to do .
    CHIxxx .
  2. eng_british_Manchester_II/warr25b.cha, line 637 · Warren, 2;6.24
    MOTwhat can you feel ?
    CHIxxx .
    MOT*MOT: pull the soft stuff off and see what you can find .
    CHIoh my lion .
    MOTyeah .
  3. eng_british_Manchester_II/warr25b.cha, line 761 · Warren, 2;6.24
    MOToh there's the shape of lion's face .
    MOTtry that again .
    MOT*MOT: see if we can get a good picture of lion's face .
    CHIno .
    CHIno xxx .
  4. eng_british_Manchester_II/warr25b.cha, line 1044 · Warren, 2;6.24
    CHIwant it the back .
    MOToh hang on .
    MOT*MOT: I think I see .
    MOTright .
    MOT<let's have a> [/] let's have a think how we can do this .
  5. eng_british_Manchester_II/warr25b.cha, line 1083 · Warren, 2;6.24
    CHImake it now .
    MOTright .
    MOT*MOT: what we can do you see .
    MOTwe can put the train at this end .
    MOTand we can put lots of these like coaches afterwards , can't we ?
  6. eng_british_Manchester_II/warr25b.cha, line 1133 · Warren, 2;6.24
    CHII have some pink trains .
    MOTwell there isn't the space on the mat for it .
    MOT*MOT: that's another problem you see .
    CHIanother train .
    CHIdon't want go in .

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. Warren eng_british_Manchester_II5.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr25b.chaWarren 2;6.241,064665.64

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. see6 · 100.0%