PHPCLANCHILDES with regular expressions

Regular expression

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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/lyon_nat16b.cha change

Searching only french/lyon_nat16b.cha. Search all transcripts instead

4 matches in 4 utterances

62.50 per 1,000 words of the child (CHI), in 1 of 1 transcripts (164 utterances, 64 words searched).

Concordance Utterances Distribution Matched forms

‹yyy [= ! imite un animal]› . 1052152_1055098 CHI · french/lyon_nat16b.cha, line 886 · Nathan 1;08
‹yyy [= ! imite un animal]› . 1056052_1058232 CHI · french/lyon_nat16b.cha, line 898 · Nathan 1;08
‹yyy [= ! comme un souffle]› . 1123863_1127380 CHI · french/lyon_nat16b.cha, line 990 · Nathan 1;08
encore ‹un [?]› . 1150110_1151635 CHI · french/lyon_nat16b.cha, line 1044 · Nathan 1;08

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

per 1,000 words

020406080

1;071;081;091;10

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/lyon_nat16b.cha	Nathan	1;8.16	64	4	4	62.50

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