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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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/anne02a.cha change

Searching only eng_british_Manchester_I/anne02a.cha. Search all transcripts instead

6 matches in 5 utterances

2.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (628 utterances, 2,108 words searched).

Concordance Utterances Distribution Matched forms

it's a car . MOT · eng_british_Manchester_I/anne02a.cha, line 2054 · Anne 1;10
the dolly's driving the car ,, isn't she ? MOT · eng_british_Manchester_I/anne02a.cha, line 2056 · Anne 1;10
can you see a car like Anne's car ? MOT · eng_british_Manchester_I/anne02a.cha, line 2138 · Anne 1;10
can you see a car like Anne's car ? MOT · eng_british_Manchester_I/anne02a.cha, line 2138 · Anne 1;10
where's Anne's car ? MOT · eng_british_Manchester_I/anne02a.cha, line 2142 · Anne 1;10
that's Anne's car ,, isn't it ? MOT · eng_british_Manchester_I/anne02a.cha, line 2146 · Anne 1;10

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

per 1,000 words

0123

1;091;101;112;00

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
eng_british_Manchester_I/anne02a.cha	Anne	1;10.21	2,108	5	6	2.85

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