Methods and systems for search query language identification

A system for generating weak-labeled data to train a machine learning model for query language prediction, the system comprising:

• at least one processor;
• and
• at least one data storage storing instructions which, when executed by the at least one processor, cause the at least one processor to perform steps comprising:
• generating a seed dictionary comprising a plurality of labeled dictionary terms;
• receiving a plurality of unlabeled sample query terms;
• comparing, at a first time, the plurality of unlabeled sample query terms to the plurality of labeled dictionary terms;
• generating a first set of labeled sample query terms by labeling at least a subset of the plurality of unlabeled sample query terms based on the first comparison;
• comparing, at a second time, remaining unlabeled sample query terms with the first set of labeled sample query terms;
• generating a second set of labeled sample query terms by labeling the remaining unlabeled sample query terms based on the second comparison;
• and
• providing the first and second sets of labeled sample query terms to a machine learning model configured for query language prediction.