This paper deals with translation ambiguity and target polysemy problems together. Two monolingual balanced corpora are employed to learn word co-occurrence for translation ambiguity resolution, and augmented translation restrictions for target polysemy resolution. Experiments show that the model achieves of monolingual information retrieval, and is addition to the select-all model. Combining the target polysemy resolution, the retrieval performance is about increase to the model resolving translation ambiguity only. .
