PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (766 utterances, 2,002 words searched).

  1. takusan aru ? %mov:"20824"_196482_198877 FAT · japanese_ishii/20824.cha, line 97 · Jun 2;08
  2. aru ka ? %mov:"20824"_546059_548137 FAT · japanese_ishii/20824.cha, line 267 · Jun 2;08
  3. a, honto, hikooki an [: aru] naa . %mov:"20824"_1485511_1487190 FAT · japanese_ishii/20824.cha, line 713 · Jun 2;08
  4. takusan aru ne,, jidoosha ga . %mov:"20824"_2968945_2975050 FAT · japanese_ishii/20824.cha, line 1366 · Jun 2;08
  5. wa, takusan jidoosha aru na . %mov:"20824"_3239886_3242980 FAT · japanese_ishii/20824.cha, line 1459 · Jun 2;08
  1. CHIkoko xxx zoo . %mov:"20824"_186801_188371
    CHIhoora ! %mov:"20824"_188371_196482
    FAT*FAT: takusan aru ? %mov:"20824"_196482_198877
    CHIara ? %mov:"20824"_198877_203516
    FATkoko suwaru toko na . %mov:"20824"_203516_205810
  2. CHIkore ? %mov:"20824"_543741_545214
    FATsora [: sore wa] ookii wa . %mov:"20824"_545214_546059
    FAT*FAT: aru ka ? %mov:"20824"_546059_548137
    CHIxxx . %mov:"20824"_548137_548855
    FATakan na . %mov:"20824"_548855_550018
  3. CHImite . %mov:"20824"_1478237_1480597
    CHIa, a, hikooki yaro . %mov:"20824"_1480597_1485511
    FAT*FAT: a, honto, hikooki an [: aru] naa . %mov:"20824"_1485511_1487190
    FATkore hikooki ka ? %mov:"20824"_1487190_1488562
    FAThonto . %mov:"20824"_1488562_1489889
  4. CHIkoo ? %mov:"20824"_2965173_2968005
    FATsoo [/] soo . %mov:"20824"_2968005_2968945
    FAT*FAT: takusan aru ne,, jidoosha ga . %mov:"20824"_2968945_2975050
    CHIn ? %mov:"20824"_2975050_2975050
    FATikutsu an no . %mov:"20824"_2975734_2977054
  5. CHIpoi@o # haitta . %mov:"20824"_3232858_3238768
    FAThaitta ? %mov:"20824"_3238768_3239886
    FAT*FAT: wa, takusan jidoosha aru na . %mov:"20824"_3239886_3242980
    CHIkore wa,, kore ? %mov:"20824"_3242980_3244524
    CHIkore wa # kore wa # kore wa # kore ? %mov:"20824"_3244524_3247445

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_ishii2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20824.chaJun 2;8.242,002552.50

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. aru5 · 100.0%