1. A method for improving a machine translation engine by augmenting the machine translation engine with preferred translations, the method comprising: receiving indications of content items that are machine translations of source content items, wherein each content item is associated with a user score; identifying, as low scoring content items, the content items that are associated with a user score below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for one of more n-grams of the multiple n-grams; selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and augmenting the machine translation engine by one or both of: including the preferred translations in training data used to generate the machine translation engine; or configuring the machine translation engine to, when performing a translation of an item, identify when a preferred translation matches a phrase in the item by matching the source phrases of the preferred translations to phrases in the item, and, when an identified preferred translation matches a phrase in the item, use the translation of the source phrase in that preferred translation instead of results that would otherwise be generated by the machine translation engine.
1. A method for improving a machine translation engine by augmenting the machine translation engine with preferred translations, the method comprising: receiving indications of content items that are machine translations of source content items, wherein each content item is associated with a user score; identifying, as low scoring content items, the content items that are associated with a user score below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for one of more n-grams of the multiple n-grams; selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and augmenting the machine translation engine by one or both of: including the preferred translations in training data used to generate the machine translation engine; or configuring the machine translation engine to, when performing a translation of an item, identify when a preferred translation matches a phrase in the item by matching the source phrases of the preferred translations to phrases in the item, and, when an identified preferred translation matches a phrase in the item, use the translation of the source phrase in that preferred translation instead of results that would otherwise be generated by the machine translation engine. 7. The method of claim 1 , wherein at least one of the user scores is a combination of multiple individual ratings that were provided by users through an interface configured to receive user indications of a translation quality.