PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/york_para004.cha change

Searching only french/york_para004.cha. Search all transcripts instead

4 matches in 4 utterances

17.17 per 1,000 words of the child (CHI), in 1 of 1 transcripts (209 utterances, 233 words searched).

Concordance Utterances Distribution Matched forms

bonhomme e [: est] pas tuture [: voiture] . 787182_789720 CHI · french/york_para004.cha, line 685 · Anne 1;11
bonhomme e [: est] pas tuture [: voiture] . 789720_796140 CHI · french/york_para004.cha, line 688 · Anne 1;11
xxx bonhomme . 796140_798185 CHI · french/york_para004.cha, line 690 · Anne 1;11
0 l'aut(re) tonhomme [: bonhomme] ? 1744951_1753264 CHI · french/york_para004.cha, line 1398 · Anne 1;11

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

05101520

1;101;112;002;01

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/york_para004.cha	Anne	1;11.29	233	4	4	17.17

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.