C04-1059 model can be used to guide the language model adaptation process . As introduced in section
C04-1059 alternatives to retrieve the data for language model adaptation gives an improvement over using
C04-1059 Abstract We explore unsupervised language model adaptation techniques for Statistical Machine
D08-1090 translations in the other text . Unlike language model adaptation , the entirety of the bias text
C04-1059 Adaptation via Sentence Retrieval Our language model adaptation is an unsupervised data augmentation
C04-1059 Summary In this paper , we studied language model adaptation for statistical machine translation
C04-1059 when using more sentences for language model adaptation . The effect is more pronounced
D08-1090 Unless otherwise specified no language model adaptation was used . We first establish
D08-1090 likely circumvent this process . Language model adaptation does not suffer from this phenomenon
C04-1059 further improvements using this language model adaptation technique . The oracle experiment
D12-1047 Translation Model Based Cross-Lingual Language Model Adaptation : from Word Models to Phrase
C04-1059 operators are used specially for our language model adaptation : Sum Operator : #sum ( 1 t ...
D12-1047 Cross-Lingual Data Selection for Language Model Adaptation Our LM adaptation is an unsupervised
D08-1090 information is added to the system with language model adaptation . Because the bias text is extracted
D08-1090 phrasal translation rules . 3.1 Language Model Adaptation For every source document , we
D11-1033 systems also perform target-side language model adaptation ( Eck et al. , 2004 ) ; we eschew
C04-1059 language models . Figure-2 shows the language model adaptation after tuning the interpolation
D08-1090 in table 4 . While gains from language model adaptation were substantial on the tuning
C04-1059 damaging in practice . <title> Language Model Adaptation for Statistical Machine Translation
D08-1090 Applying translation model and language model adaptation fairly , using only bias text
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