PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (726 utterances, 1,836 words searched).

  1. sonna mukoo made ittara akan ne . %mov:"30217"_1139626_1144940 FAT · japanese_ishii/30217.cha, line 652 · Jun 3;02
  2. koko de sutoppu # koko de taiya ga sutoppu sun ne . %mov:"30217"_1144940_1147973 FAT · japanese_ishii/30217.cha, line 653 · Jun 3;02
  3. akan ne ? %mov:"30217"_2906536_2919926 FAT · japanese_ishii/30217.cha, line 1348 · Jun 3;02
  4. hikkakaru ne ? %mov:"30217"_2919926_2920600 FAT · japanese_ishii/30217.cha, line 1349 · Jun 3;02
  5. kore wa ne +... %mov:"30217"_3256701_3257770 FAT · japanese_ishii/30217.cha, line 1463 · Jun 3;02
  1. CHIhaii . %mov:"30217"_1135190_1136616
    CHIkore . %mov:"30217"_1136616_1139626
    FAT*FAT: sonna mukoo made ittara akan ne . %mov:"30217"_1139626_1144940
    FATkoko de sutoppu # koko de taiya ga sutoppu sun ne . %mov:"30217"_1144940_1147973
    CHIkoo ? %mov:"30217"_1147973_1148443
  2. CHIkore . %mov:"30217"_1136616_1139626
    FATsonna mukoo made ittara akan ne . %mov:"30217"_1139626_1144940
    FAT*FAT: koko de sutoppu # koko de taiya ga sutoppu sun ne . %mov:"30217"_1144940_1147973
    CHIkoo ? %mov:"30217"_1147973_1148443
    FATsoo [/] soo [/] soo . %mov:"30217"_1147973_1149389
  3. FATkotchi agaremasu ka ? %mov:"30217"_2903253_2905747
    CHIun . %mov:"30217"_2905747_2906536
    FAT*FAT: akan ne ? %mov:"30217"_2906536_2919926
    FAThikkakaru ne ? %mov:"30217"_2919926_2920600
    CHIhai . %mov:"30217"_2920600_2921639
  4. CHIun . %mov:"30217"_2905747_2906536
    FATakan ne ? %mov:"30217"_2906536_2919926
    FAT*FAT: hikkakaru ne ? %mov:"30217"_2919926_2920600
    CHIhai . %mov:"30217"_2920600_2921639
    CHIhashigo wa kotchi desu . %mov:"30217"_2921639_2923864
  5. FATnani ga ? %mov:"30217"_3255354_3256064
    CHIkao ga ? %mov:"30217"_3256064_3256701
    FAT*FAT: kore wa ne +... %mov:"30217"_3256701_3257770
    CHIun . %mov:"30217"_3257770_3258366
    FATkoo xxx . %mov:"30217"_3258366_3260155

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_ishii2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30217.chaJun 3;2.171,836552.72

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. ne5 · 100.0%