PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 1,725 words searched).

  1. enjin wa an [: aru] no ka,, sore ? %mov:"20815"_317529_319811 FAT · japanese_ishii/20815.cha, line 186 · Jun 2;08
  2. mieru ka,, enjin ? %mov:"20815"_319811_321664 FAT · japanese_ishii/20815.cha, line 187 · Jun 2;08
  3. sonna toko chigau yan,, enjin wa . %mov:"20815"_322326_322326 FAT · japanese_ishii/20815.cha, line 189 · Jun 2;08
  4. enjin wa doko yatta ? %mov:"20815"_323515_326895 FAT · japanese_ishii/20815.cha, line 190 · Jun 2;08
  5. soo, soko ga enjin . %mov:"20815"_326895_328364 FAT · japanese_ishii/20815.cha, line 191 · Jun 2;08
  6. naka enjin mieru ? %mov:"20815"_328364_329747 FAT · japanese_ishii/20815.cha, line 192 · Jun 2;08
  7. misete,, enjin . %mov:"20815"_329747_331994 FAT · japanese_ishii/20815.cha, line 193 · Jun 2;08
  1. CHIhandoru koko . %mov:"20815"_315396_316524
    FAThandoru aru nee . %mov:"20815"_316524_317529
    FAT*FAT: enjin wa an [: aru] no ka,, sore ? %mov:"20815"_317529_319811
    FATmieru ka,, enjin ? %mov:"20815"_319811_321664
    CHIhore . %mov:"20815"_321664_322326
  2. FAThandoru aru nee . %mov:"20815"_316524_317529
    FATenjin wa an [: aru] no ka,, sore ? %mov:"20815"_317529_319811
    FAT*FAT: mieru ka,, enjin ? %mov:"20815"_319811_321664
    CHIhore . %mov:"20815"_321664_322326
    FATsonna toko chigau yan,, enjin wa . %mov:"20815"_322326_322326
  3. FATmieru ka,, enjin ? %mov:"20815"_319811_321664
    CHIhore . %mov:"20815"_321664_322326
    FAT*FAT: sonna toko chigau yan,, enjin wa . %mov:"20815"_322326_322326
    FATenjin wa doko yatta ? %mov:"20815"_323515_326895
    FATsoo, soko ga enjin . %mov:"20815"_326895_328364
  4. CHIhore . %mov:"20815"_321664_322326
    FATsonna toko chigau yan,, enjin wa . %mov:"20815"_322326_322326
    FAT*FAT: enjin wa doko yatta ? %mov:"20815"_323515_326895
    FATsoo, soko ga enjin . %mov:"20815"_326895_328364
    FATnaka enjin mieru ? %mov:"20815"_328364_329747
  5. FATsonna toko chigau yan,, enjin wa . %mov:"20815"_322326_322326
    FATenjin wa doko yatta ? %mov:"20815"_323515_326895
    FAT*FAT: soo, soko ga enjin . %mov:"20815"_326895_328364
    FATnaka enjin mieru ? %mov:"20815"_328364_329747
    FATmisete,, enjin . %mov:"20815"_329747_331994
  6. FATenjin wa doko yatta ? %mov:"20815"_323515_326895
    FATsoo, soko ga enjin . %mov:"20815"_326895_328364
    FAT*FAT: naka enjin mieru ? %mov:"20815"_328364_329747
    FATmisete,, enjin . %mov:"20815"_329747_331994
    FAThora, shimeta . %mov:"20815"_331994_335384
  7. FATsoo, soko ga enjin . %mov:"20815"_326895_328364
    FATnaka enjin mieru ? %mov:"20815"_328364_329747
    FAT*FAT: misete,, enjin . %mov:"20815"_329747_331994
    FAThora, shimeta . %mov:"20815"_331994_335384
    CHIiin@o gan@o . %mov:"20815"_335384_337182

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. Jun japanese_ishii4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20815.chaJun 2;8.151,725774.06

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. enjin7 · 100.0%