PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (543 utterances, 1,873 words searched).

  1. what about her ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1068 · Ruth 2;03
  2. how's her ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1072 · Ruth 2;03
  3. your ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1076 · Ruth 2;03
  4. how's teddy's ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1080 · Ruth 2;03
  5. did you fall on your ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1090 · Ruth 2;03
  6. how's teddy's ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1098 · Ruth 2;03
  7. how's Mo's ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1106 · Ruth 2;03
  8. has she got any ears ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1108 · Ruth 2;03
  9. she's not got any ears . MOT · eng_british_Manchester_II/ruth12a.cha, line 1112 · Ruth 2;03
  1. CHIme [/] me on there eyes .
    MOTright .
    MOT*MOT: what about her ears ?
    CHIhuh ?
    MOThow's her ears ?
  2. MOTwhat about her ears ?
    CHIhuh ?
    MOT*MOT: how's her ears ?
    CHIme .
    MOTyour ears ?
  3. MOThow's her ears ?
    CHIme .
    MOT*MOT: your ears ?
    CHImmhm .
    MOThow's teddy's ears ?
  4. MOTyour ears ?
    CHImmhm .
    MOT*MOT: how's teddy's ears ?
    CHIme [*] fall on there .
    MOTwhat darling ?
  5. MOTwhat darling ?
    CHIme [*] fall on there .
    MOT*MOT: did you fall on your ears ?
    CHImmhm .
    MOTdid you ?
  6. MOTdid you ?
    CHImmhm .
    MOT*MOT: how's teddy's ears ?
    CHInice .
    MOTthey're nice .
  7. MOTthey're nice .
    CHImmhm .
    MOT*MOT: how's Mo's ears ?
    MOThas she got any ears ?
    CHIno .
  8. CHImmhm .
    MOThow's Mo's ears ?
    MOT*MOT: has she got any ears ?
    CHIno .
    MOTshe's not got any ears .
  9. MOThas she got any ears ?
    CHIno .
    MOT*MOT: she's not got any ears .
    CHIno .
    MOToh dear .

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. Ruth eng_british_Manchester_II4.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth12a.chaRuth 2;3.061,873994.81

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. ears9 · 100.0%