Row 65328

Row ID: 65328 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 65328 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I don't know much about language acquisition; I studied perception (and helped raise two babies). It should be noted that the first six months of a baby's life involve laying a lot of raw perceptual ground work that may be prerequisite to participating in the interactive exchanges that really propel language acquisition forward. Around the six month mark (plus or minus a few) the baby is busy forming the means to make perceptual distinctions and *categories*- like cluster centers in sensory space- that make it possible to determine that a portion of the space of possible hissing sounds is "s"-like and a different portion of that space is "z"-like.

The sea of perceptual input that babies get \*is\* a ton of data, but the inductive biases for making sense of it are amazingly weak. It would be like getting the raw bits from a hard drive and trying to make sense of them without knowing a priori that groupings of *eight* bits are significant, let alone that these bytes are organized into clusters by a file system...

FieldValue
text I don't know much about language acquisition; I studied perception (and helped raise two babies). It should be noted that the first six months of a baby's life involve laying a lot of raw perceptual ground work that may be prerequisite to participating in the interactive exchanges that really propel language acquisition forward. Around the six month mark (plus or minus a few) the baby is busy forming the means to make perceptual distinctions and *categories*- like cluster centers in sensory spac…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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Raw Record

{
  "text": "I don't know much about language acquisition; I studied perception (and helped raise two babies). It should be noted that the first six months of a baby's life involve laying a lot of raw perceptual ground work that may be prerequisite to participating in the interactive exchanges that really propel language acquisition forward. Around the six month mark (plus or minus a few) the baby is busy forming the means to make perceptual distinctions and *categories*- like cluster centers in sensory space- that make it possible to determine that a portion of the space of possible hissing sounds is \"s\"-like and a different portion of that space is \"z\"-like.\n\nThe sea of perceptual input that babies get \\*is\\* a ton of data, but the inductive biases for making sense of it are amazingly weak. It would be like getting the raw bits from a hard drive and trying to make sense of them without knowing a priori that groupings of *eight* bits are significant, let alone that these bytes are organized into clusters by a file system...",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1iZ1Jkd25GYU9XYmowZmUxZE01RHNVamJNRUtjN3RWbnRXRXo1QmJyb2YzZVFjeUdfcE5CeU9pVjNieWFiWlo5RjVmVjhvZjBKODBKLVB0dWRFZU1KUlE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9zM1RaR2FBemZCZG03TEZnUUxsM3UxVG5FenRJNlltYk1zRlRvWHRtSmt5bE9ZWi1xamMyLU1vdHB2N3JERmRXa3lzdWVBZGVYR2tGdXJYY0xKYWlqenIyendkeXNuQmNseGVUYWVwX0pTWW5mMGpycXA2ZldUbk15dk1DUjIwUVpJNktXNmVHcWpQdnhXbkVaSDJXUkNXWE0wVTlZWmdObHVNT09SR3J1bXFUa1ktZTlaVWp6dm53RThXblQ4Z2JJU3k5SzNiNmpsLXk4LTQzZkpwS2xlZz09"
}
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