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/unkeler_pie13.cha change

Searching only french/unkeler_pie13.cha. Search all transcripts instead

6 matches in 6 utterances

22.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (68 utterances, 265 words searched).

Concordance Utterances Distribution Matched forms

allo c'est mamie ! MOT · french/unkeler_pie13.cha, line 211 · Pierre 1;09
c'est mamie au téléphone ? MOT · french/unkeler_pie13.cha, line 215 · Pierre 1;09
allo mamie ! MOT · french/unkeler_pie13.cha, line 218 · Pierre 1;09
écoute c'est mamie ! MOT · french/unkeler_pie13.cha, line 222 · Pierre 1;09
écoute mamie au téléphone ! MOT · french/unkeler_pie13.cha, line 224 · Pierre 1;09
mamie . MOT · french/unkeler_pie13.cha, line 228 · Pierre 1;09

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

per 1,000 words

0510152025

1;081;091;101;11

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/unkeler_pie13.cha	Pierre	1;9.30	265	6	6	22.64

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