PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,740 words searched).

  1. do you want a tissue to wipe his eyes ? MOT · eng_british_Manchester_II/warr10b.cha, line 1022 · Warren 2;01
  2. oh can I have the tissue actually ? MOT · eng_british_Manchester_II/warr10b.cha, line 1029 · Warren 2;01
  3. you have the monkey and I'll have the tissue . MOT · eng_british_Manchester_II/warr10b.cha, line 1031 · Warren 2;01
  4. I'll put the tissue up my sleeve for your nose . MOT · eng_british_Manchester_II/warr10b.cha, line 1034 · Warren 2;01
  5. had I better get my tissue out again ? MOT · eng_british_Manchester_II/warr10b.cha, line 1156 · Warren 2;01
  1. eng_british_Manchester_II/warr10b.cha, line 1022 · Warren, 2;1.14
    INVhe's crying again , is he ?
    MOTwipe his eyes .
    MOT*MOT: do you want a tissue to wipe his eyes ?
    CHIWarren have it .
    MOTthank you .
  2. eng_british_Manchester_II/warr10b.cha, line 1029 · Warren, 2;1.14
    CHIWarren have it .
    MOTthank you .
    MOT*MOT: oh can I have the tissue actually ?
    MOTyou have the monkey and I'll have the tissue .
    MOTI'll put the tissue up my sleeve for your nose .
  3. eng_british_Manchester_II/warr10b.cha, line 1031 · Warren, 2;1.14
    MOTthank you .
    MOToh can I have the tissue actually ?
    MOT*MOT: you have the monkey and I'll have the tissue .
    MOTI'll put the tissue up my sleeve for your nose .
    MOTWarren .
  4. eng_british_Manchester_II/warr10b.cha, line 1034 · Warren, 2;1.14
    MOToh can I have the tissue actually ?
    MOTyou have the monkey and I'll have the tissue .
    MOT*MOT: I'll put the tissue up my sleeve for your nose .
    MOTWarren .
    MOTI don't really want you sitting on my knee .
  5. eng_british_Manchester_II/warr10b.cha, line 1156 · Warren, 2;1.14
    MOTwhat've you done to him ?
    MOToh .
    MOT*MOT: had I better get my tissue out again ?
    MOTyou wipe his eyes .
    CHIMummy wipe his eyes .

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_II2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr10b.chaWarren 2;1.141,740552.87

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. tissue5 · 100.0%