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We describe two attempt to improve our stochastic language models. In the first, we identify a systematic overestimation in the traditional backoff model, and use statisticalreasoning to correct it. Our …...

This paper presents a corpus-based method to assign grammatical subject/object re- lations to ambiguous German constructs. It makes use of an unsupervised learning procedure to collect training and test data, …...

We propose a backoff model for phrase- based machine translation that translates unseen word forms in foreign-language text by hierarchical morphological ab- stractions at the word and the phrase level. …...