Preface; Part I. Foundations: 1. Introduction; 2. Words, sentences, corpora; 3. Probability theory; Part II. Core Methods: 4. Word-based models; 5. Phrase-based models; 6. Decoding; 7. Language models; 8. Evaluation; Part III. Advanced Topics: 9. Discriminative training; 10. Integrating linguistic
Statistical Machine Translation
โ Scribed by Philipp Koehn
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No coin nor oath required. For personal study only.
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ะะฝัะพัะผะฐัะธะบะฐ ะธ ะฒััะธัะปะธัะตะปัะฝะฐั ัะตั ะฝะธะบะฐ;ะัะบััััะฒะตะฝะฝัะน ะธะฝัะตะปะปะตะบั;ะะพะผะฟัััะตัะฝะฐั ะปะธะฝะณะฒะธััะธะบะฐ;
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