Concordance

Query N03-1017 16 (512.3 per million)

model,4-1-N03-1017,ak	We propose a new <term> phrase-based translation model </term> and <term> decoding algorithm </term> that enables us to evaluate and compare several , previously proposed <term> phrase-based translation models </term> .	#2544 We propose a newphrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models.
tech,8-1-N03-1017,ak	We propose a new <term> phrase-based translation model </term> and <term> decoding algorithm </term> that enables us to evaluate and compare several , previously proposed <term> phrase-based translation models </term> .	#2548 We propose a new phrase-based translation model anddecoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models.
model,21-1-N03-1017,ak	We propose a new <term> phrase-based translation model </term> and <term> decoding algorithm </term> that enables us to evaluate and compare several , previously proposed <term> phrase-based translation models </term> .	#2561 We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposedphrase-based translation models.
model,18-2-N03-1017,ak	Within our framework , we carry out a large number of experiments to understand better and explain why <term> phrase-based models </term> outperform <term> word-based models </term> .	#2583 Within our framework, we carry out a large number of experiments to understand better and explain whyphrase-based models outperform word-based models.
model,21-2-N03-1017,ak	Within our framework , we carry out a large number of experiments to understand better and explain why <term> phrase-based models </term> outperform <term> word-based models </term> .	#2586 Within our framework, we carry out a large number of experiments to understand better and explain why phrase-based models outperformword-based models.
other,9-3-N03-1017,ak	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2598 Our empirical results, which hold for all examinedlanguage pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations.
tech,27-3-N03-1017,ak	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2616 Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means:heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations.
other,30-3-N03-1017,ak	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2619 Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning ofphrase translations from word-based alignments and lexical weighting of phrase translations.
lr,33-3-N03-1017,ak	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2622 Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations fromword-based alignments and lexical weighting of phrase translations.
tech,36-3-N03-1017,ak	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2625 Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments andlexical weighting of phrase translations.
other,39-3-N03-1017,ak	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2628 Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting ofphrase translations.
other,3-4-N03-1017,ak	Surprisingly , learning <term> phrases </term> longer than three <term> words </term> and learning <term> phrases </term> from <term> high-accuracy word-level alignment models </term> does not have a strong impact on performance .	#2634 Surprisingly, learningphrases longer than three words and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance.
other,7-4-N03-1017,ak	Surprisingly , learning <term> phrases </term> longer than three <term> words </term> and learning <term> phrases </term> from <term> high-accuracy word-level alignment models </term> does not have a strong impact on performance .	#2638 Surprisingly, learning phrases longer than threewords and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance.
other,10-4-N03-1017,ak	Surprisingly , learning <term> phrases </term> longer than three <term> words </term> and learning <term> phrases </term> from <term> high-accuracy word-level alignment models </term> does not have a strong impact on performance .	#2641 Surprisingly, learning phrases longer than three words and learningphrases from high-accuracy word-level alignment models does not have a strong impact on performance.
model,12-4-N03-1017,ak	Surprisingly , learning <term> phrases </term> longer than three <term> words </term> and learning <term> phrases </term> from <term> high-accuracy word-level alignment models </term> does not have a strong impact on performance .	#2643 Surprisingly, learning phrases longer than three words and learning phrases fromhigh-accuracy word-level alignment models does not have a strong impact on performance.
other,2-5-N03-1017,ak	Learning only <term> syntactically motivated phrases </term> degrades the performance of our systems .	#2658 Learning onlysyntactically motivated phrases degrades the performance of our systems.


	in Help