[PDF] Top 20 Recall is the Proper Evaluation Metric for Word Segmentation
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Recall is the Proper Evaluation Metric for Word Segmentation
... Neither recall nor precision measure how well the system rejects the negatives. True negative rate (TNR) is therefore proposed by Powers (2011) as the complement. Jiang et al. (2011) show that seg- menters ... See full document
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Word Alignment Combination over Multiple Word Segmentation
... As shown in Table 3, the combination align- ments outperformed the baselines (setting C) in all settings in both GIZA and DIWA. We notice that the higher F-score is mainly due to the higher pre- cision in GIZA but higher ... See full document
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Modeling Infant Word Segmentation
... each word and mark- ing syllables with level 1 stress as strong ...a word could not be transcribed using CMUDICT was excluded, leaving 55,840 ...perfectly recall all hypothe- sized words either due ... See full document
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Evaluation via Negativa of Chinese Word Segmentation for Information Retrieval
... of word segmentation (WS) performance on information retrieval (IR) for Mandarin Chinese and have demonstrated a non-monotonic relationship between WS accuracy and IR ...WS evaluation metrics of ... See full document
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Rules based Chinese Word Segmentation on MicroBlog for CIPS SIGHAN on CLP2012
... Our method is tested on the simplified Chinese MicroBlog testing data and the training data from the CIPS-SIGHAN-2012 bake-off task. The test corpus consists of approximately 5,000 texts from MicroBlog, and the training ... See full document
5
Synthetic Word Parsing Improves Chinese Word Segmentation
... Chinese word segmentation and OOVs ...OOV recall. Sun (2011) proposed a similar sub-word structure which is generated by merging the segmentations provided by different segmenters (a ... See full document
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Word based and Character based Word Segmentation Models: Comparison and Combination
... 2: Word length statistics on test sets. Tab. 2 shows the statistics of word counts relative to word length on each test data ...that word-based model tends to predict more sin- gle character ... See full document
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A New Psychometric inspired Evaluation Metric for Chinese Word Segmentation
... new evaluation metric for Chinese word segmentation in this ...each word. The difficulty of a word is automatically rated by a committee of segmenters, which are diversified by ... See full document
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PORT: a Precision Order Recall MT Evaluation Metric for Tuning
... much word ordering improvement we obtained from tuning with ...Chinese-English word ordering with three measures: Spearman’s ρ, Kendall’s τ distance as applied to two permutations (see section ...better ... See full document
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Zero-Shot Object Detection with Textual Descriptions
... the evaluation metric for the ILSVRC dataset and Recall@100 for the MSCOCO and Visual Genome ...and word-level attention, we compare with two ...without word-level attention, we treat ... See full document
8
Word Segmentation for Akkadian Cuneiform
... ( dan ) (Gelb, 1957, p.8, Da-an--ri vs. Dan-r-ri ). We primarily consider the Akkadian language, the domi- nant language of the Ancient Near East from the 3rd to the 1st millennium BCE. Originally spoken in Mesopotamia, ... See full document
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A Japanese Word Segmentation Proposal
... Verbs are the most varied words in terms of in- flections. This is due to the possibility of con- catenating many auxiliary verbs to a single stem, producing really long words. In current segmen- tation methods, each ... See full document
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Lexicalized Phonotactic Word Segmentation
... Learning to segment words is an old problem, with extensive prior work surveyed in (Batchelder, 2002; Brent and Cartwright, 1996; Cairns et al., 1997; Goldwater, 2006; Hockema, 2006; Rytting, 2007). There are two major ... See full document
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Unsupervised Word Segmentation in Context
... a word segmentation task extending the AG models used in (B¨orschinger et ...the word segmentation process, and could presumably be used at various stages of language ... See full document
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Adaptive Chinese Word Segmentation
... We find in our experiments that NWs sampled by Possion and K-Mixture are mostly specific and time-sensitive terms, in agreement with our intui- tion, while NWs sampled by Uniform include more common words and lemmas that ... See full document
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Word Segmentation as General Chunking
... the segmentation problem by eliminating many possi- ble segmentations, as demonstrated in Section ...at word boundaries by keep- ing similar statistics in its knowledge trie, but can do so in a fully ... See full document
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Integration of Multiple Bilingually Learned Segmentation Schemes into Statistical Machine Translation
... a word segmentation suitable for ...Chinese word segmentation (CWS) for Chinese-to-English ...new word types and word distributions suit- able for ... See full document
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Improving Word Alignment by Adjusting Chinese Word Segmentation
... Chinese word alignment tasks often adopt word segmentation systems firstly to identify ...However, word-mismatching problems exist between languages and will degrade the performance of ... See full document
8
A Dataset for Sanskrit Word Segmentation
... logical class information for each word in both the schemes. Hence, the dataset will not be affected by the changes that may occur to the said map- ping between the schemes. The current dataset may not be directly ... See full document
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ANALYSIS OF SOME METRIC SOLUTION WITH GEOMETRIC FORM
... Further we use all these values to find a canonical form of the tensor R AB g AB . Next, we will be interested in Eigen values for the metric solution 1.5 that is the solution of the characteristic ... See full document
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