The document discusses advancements in machine translation through improved models, focusing on word-based, phrase-based, and syntax-based approaches. It highlights the significance of BLEU scores in evaluating translation quality and mentions the challenges faced in syntactic analysis and translation. The author, Dragos Munteanu, emphasizes the role of diverse strategies including deep learning and morphological analysis.

1. Dragos Munteanu
Director of Research and Development, Machine Translation

2. 2
USC/ISI LANGUAGE
WEAVER

3. 3
Better BLEU through better models
Word
based
Phrase
based
Syntax
based
Deep
learning?
BLEU

4. 4
Better BLEU through better models
Word
based
Phrase
based
Syntax
based
Deep
learning?
BLEU
The
Synta
x
Bet

5. 5
The Syntax Bet
I Lost The Syntax Bet
Phrase model
Syntax model
NIST OpenMT Evaluation

6. 6
The Syntax Bet
I Lost The Syntax Bet
Phrase model
Syntax modelBLEU
NIST OpenMT Evaluation

7. 7
The Snowflake Customer

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Embrace Diversity
Syntactic
Analysis
Compound
Splitting
Phrase
Based
De
romanizer
String
to Tree
Entity
Translation
Morph.
Analysis
Pre
Ordering
Trans-
literation
……
Hidden
Markov
Model
Hyper
Graphs
Foreign
Language
Your
Language