PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 1,682 words searched).

  1. hokooki chau ne . %mov:"20706"_413186_417603 FAT · japanese_ishii/20706.cha, line 255 · Jun 2;07
  2. ikinai yo chau ne . %mov:"20706"_1604632_1605622 FAT · japanese_ishii/20706.cha, line 760 · Jun 2;07
  3. chau no . %mov:"20706"_1977667_1978514 FAT · japanese_ishii/20706.cha, line 860 · Jun 2;07
  4. oshiro chau . %mov:"20706"_2144507_2144985 FAT · japanese_ishii/20706.cha, line 941 · Jun 2;07
  5. impitsu chau no . %mov:"20706"_3044753_3044753 FAT · japanese_ishii/20706.cha, line 1369 · Jun 2;07
  1. CHInaa kore nani ? %mov:"20706"_408614_408614
    FAThikooki . %mov:"20706"_412475_413186
    FAT*FAT: hokooki chau ne . %mov:"20706"_413186_417603
    FAThikooki ya de . %mov:"20706"_417603_418628
    CHIhikooki . %mov:"20706"_418628_419626
  2. FATe ? %mov:"20706"_1601634_1602813
    CHIgakkoo ikinai [: ikanai] yo . %mov:"20706"_1602813_1604632
    FAT*FAT: ikinai yo chau ne . %mov:"20706"_1604632_1605622
    FATikanai yo . %mov:"20706"_1605622_1606789
    CHIikanai yo . %mov:"20706"_1606789_1608141
  3. FATsonna herumetto kabutten no . %mov:"20706"_1968242_1976665
    FATkore Okaasan no yan ka . %mov:"20706"_1976665_1977667
    FAT*FAT: chau no . %mov:"20706"_1977667_1978514
    FATnani kabutten nya,, sore . %mov:"20706"_1978514_1982873
    CHIbooshi ya zoo . %mov:"20706"_1982873_1984868
  4. FATushiro . %mov:"20706"_2142469_2143407
    CHIoshiro ? %mov:"20706"_2143407_2144507
    FAT*FAT: oshiro chau . %mov:"20706"_2144507_2144985
    FATu shi ro . %mov:"20706"_2144985_2145991
    CHIwaa ! %mov:"20706"_2145991_2146926
  5. CHIempitsu ? %mov:"20706"_3043059_3044252
    FATsoo . %mov:"20706"_3044252_3044753
    FAT*FAT: impitsu chau no . %mov:"20706"_3044753_3044753
    FATempitsu . %mov:"20706"_3045942_3046874
    CHIempitsu ? %mov:"20706"_3046874_3047795

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_ishii2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20706.chaJun 2;7.061,682552.97

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. chau5 · 100.0%