W03-1731 of our chunking-based Chinese word tokenization in the competition . The most
S14-2018 linguistic processing , not even word tokenization . For each of the ( proprietary
S14-2017 linguistic processing , not even word tokenization . For each of the ( proprietary
P15-1004 Habash et al. , 2013 ) for Arabic word tokenization . For Chinese tokenization ,
W03-1731 Language Processing . Normally , word tokenization is implemented through word segmentation
W03-1731 cope with unkown words in Chinese word tokenization . The unknown word detection
W03-1731 unknown word problem in Chinese word tokenization . <figurecaption> log ( | ) log
W03-1731 This paper introduces a Chinese word tokenization system through HMM-based chunking
W02-1804 many possible segmentation in the word tokenization stage . Figure 1 shows the tokenization
S15-2002 all substrings ( or n-grams in word tokenization ) . In total we computed 22 metrics
Q14-1016 annotators used the sentence and word tokenizations supplied by the treebank .2 Annotation
D13-1146 segmentation task is split into word tokenization and sentence boundary detection
P12-3007 performing the vectorization , word tokenization was conducted . In this step
W03-1731 problem with Chunking-based Chinese word tokenization is how to effectively approximate
K15-2001 propagate to the end , and other than word tokenization , all input to the participating
W03-1731 <title> Chunking-based Chinese Word Tokenization </title> GuoDong abstract This
P98-2189 removal of stop words &#8226; word tokenization , e.g. lemmatization . 3.2 Indexing
W03-1731 </figurecaption> 1 Introduction Word Tokenization is regarded as one of major bottlenecks
W03-1731 has become major bottleneck in word tokenization . This paper proposes a HMM-based
M95-1012 words ) and zoners ( e.g. , for word tokenization , sentence boundary determination
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