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次へ: Experiments with our Machine 上へ: Overview of our Statistical 戻る: Language Model ( -gram).

Decoding

The decoding process is as follows.

  1. Test Corpus

    We prepared French test sentences.

  2. Pattern-Based Machine Translation

    We use a French-English PBMT. If an input French sentence matches with the French patterns, we can obtain a translated "English" test sentence.

  3. "English"-English Statistical Machine Translation

    Using an "English"-English phrase table, $ N$ -gram model, and Moses [4], we decode the "English" test sentence. This involves "English"-English translation, resulting in an English sentence.

  4. French-English Statistical Machine Translation System

    If an input French sentence does not match with the French patterns, we conduct a standard French-English SMT, using a French-English phrase table and $ N$ -gram model, and obtain an English sentence.

Figure 5 shows a flowchart of the decoding process.

図 5: Flowchart of Decoding
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Jin'ichi Murakami 平成22年12月20日