W06-1002 play a major role in Japanese orthographic normalization . Although it is possible to
W06-0109 play a major role in Japanese orthographic normalization . Although it is possible to
W02-0309 segmentation a language-specific orthographic normalization step is performed . It maps German
J13-1009 crossed constituent boundaries . Orthographic Normalization . Orthographic normalization
W02-0309 parametrizing the retrieval process : Orthographic Normalization ( O ) . In a preprocessing step
P06-1001 and AlY , respectively ) . Since orthographic normalization is tied to the use of MADA and
J13-1009 . Orthographic Normalization . Orthographic normalization has a significant impact on parsing
P06-1001 produce the other schemes . ON : Orthographic Normalization addresses the issue of sub-optimal
J15-1009 and lemmatization , as well as orthographic normalization . Even though the processing
W06-1002 Conclusions Performing such tasks as orthographic normalization and named entity extraction accurately
W06-0109 Conclusions Performing such tasks as orthographic normalization and named entity extraction accurately
W02-0309 ) . In a preprocessing step , orthographic normalization rules ( cf. Section 2 ) were
N06-2051 BLEU and NIST metrics . Basic orthographic normalization serves as a baseline ( merging
P14-1010 Morfessor does not perform any orthographic normalizations , it can be desegmented with
P08-2015 morphological preprocessing and orthographic normalization . Thus our baseline token OOV
W14-3628 followed by an illustration of the orthographic normalization schemes we applied ( Section
P14-2034 . First , we handle two Arabic orthographic normalization rules that commonly require rewriting
W14-3612 representation of each word , orthographic normalization was almost the inevitable effect
W14-0818 least two distinct cues . The orthographic normalizations generally lower the number of
W02-0309 spelling variations ) shows that orthographic normalization is a desider atum for enhanced
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