W15-4918 computer science . By design , our gap-filling tasks require a human translation
W15-2501 pronoun prediction task was a gap-filling exercise very similar to the
W15-4918 evaluation results show that the gap-filling task may be suitable for measuring
W04-1703 two steps produce the desired gap-filling exercise , which will be integrated
C92-3165 words . To cope with this , the gap-filling technique \ -LSB- 9 \ -RSB- is
W15-4918 topic may assist the users in gap-filling tasks ; 2 . If possible , increase
W15-4918 Appraise to accommodate for the gap-filling tasks . The tasks were uploaded
C86-1138 is filled out in the subsequent gap-filling stage . However , if the recognition
S12-1040 can mainly be ascribed to the gap-filling mechanism implemented in the
C92-3165 of hypothesized phonemes . The gap-filling fimction is incorporated iuto
C92-3165 lause Gralumars . The efficient gap-filling technique of handling unknown
W15-4918 discusses the reasoning behind the gap-filling method and task structure . The
J14-2005 the gap . In particular , the gap-filling material does not have to be
W15-2501 bad , treating evaluation as a gap-filling task has the advantage of avoiding
C92-3165 -RSB- is presented here . In tile gap-filling GLR parsing , the goto table
W04-1703 activities using generators for gap-filling , lexical spotting ( i.e. identification
W04-1703 different . For instance , if a gap-filling exercise is designed to test
W04-1703 instance , the automated design of a gap-filling exercise is considered as a script
S12-1040 incorrectly not counted as scope . The gap-filling mechanism then adds the intermediary
T75-2013 phrase-adaption and generative gap-filling are very roughly equally important
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