[PDF] Top 20 A Realistic and Robust Model for Chinese Word Segmentation
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A Realistic and Robust Model for Chinese Word Segmentation
... Our current system, which has not been optimized for speed, is able to segment text in less then 50 seconds. Time measurement includes preparation of testing data, but also training phase. We believe that with optimized ... See full document
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Improving Word Alignment by Adjusting Chinese Word Segmentation
... IBM model 1 does not work properly as we ...correct Chinese translations will not be ...the model to ensure that the aligning result covers every Chinese characters of a target word and ... See full document
8
Neural Word Segmentation Learning for Chinese
... The total number of possible segmented sentences grows exponentially with the length of character sequence, which makes it impractical to compute the scores of every possible segmentation. In order to get exact ... See full document
12
Word Boundary Decision with CRF for Chinese Word Segmentation
... for Chinese to English (Chang et al., 2008), segmentation errors would cause translation mistakes ...CWS model are impossible to offer good ...certain word, ...a word. It achieves much ... See full document
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Word Context Character Embeddings for Chinese Word Segmentation
... our model with other state-of-the- art segmentation models 5 , which are grouped into 3 classes, namely traditional segmentation mod- els (non-nn), neural segmentation models (nn), and the ... See full document
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Active Learning for Chinese Word Segmentation
... Although there are various studies CWS individually, there are few studies of active learning on CWS. One related work is about active learning on Japanese word segmentation via Support Vector Machines ... See full document
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Synthetic Word Parsing Improves Chinese Word Segmentation
... joint model for Chinese word segmentation and OOVs ...(a word-based segmenter, a character-based segmenter and a local character ... See full document
6
Multi Grained Chinese Word Segmentation
... Traditionally, word segmentation (WS) adopts the single-granularity formal- ism, where a sentence corresponds to a single word ...over Chinese word boundaries is only 76%, indicat- ing ... See full document
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Character Level Chinese Dependency Parsing
... perform word segmentation and POS-tagging jointly, with- out using real word-level syntactic ...inter- word dependencies (STD/EAG (real, pseudo) ...the word- structure ... See full document
11
Chinese Word Segmentation by Mining Maximized Substrings
... a word-character hybrid model as our baseline Chinese word segmentation system (Nakagawa and Uchimoto, 2007; Kruengkrai et ...hybrid model constructs a lattice that consists of ... See full document
9
A Stacked Sub Word Model for Joint Chinese Word Segmentation and Part of Speech Tagging
... predicted word produced by the three coarse-grained ...a word boundary by any segmenter, this position is taken as a separation position of the sub-word ... See full document
10
Word Segmentation on Chinese Mirco Blog Data with a Linear Time Incremental Model
... the model we de- signed for the word segmentation bake- off on Chinese micro-blog data in the 2nd CIPS-SIGHAN joint conference on Chi- nese language ...incremental model for word ... See full document
6
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
... with Word Embeddings Character-based CWS models have the superior- ity of being flexible and ...full word information is not easy to be ...the word- based ...also word-level (Zhang and Clark, ... See full document
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Covering Ambiguity Resolution in Chinese Word Segmentation Based on Contextual Information
... Model in Word Covering Ambiguity Resolution in Chinese Word Segmentation Based on Contextual Information Xiao LUO; Maosong SUN National Lab of Intelligent Tech and Systems Tsinghua University, Beijing[.] ... See full document
7
An Error Driven Word Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
... discriminative word-character hybrid model for joint Chi- nese word segmentation and POS ...Our word-character hybrid model offers high performance since it can handle both known ... See full document
9
Chinese Word Segmentation as Character Tagging
... In an effort to assess the effectiveness of the different types of features, we retrained our system by taking out each group of features in (5). The most effective features are the ones which, when not used, result in ... See full document
20
Chinese Word Segmentation by Classification of Characters
... We intend to solve the ambiguity problem by combining a dictionary-based approach with a statistical model. The Maximum Matching (MM) algorithm is regarded as the simplest dictionary-based word ... See full document
16
A Character Based Joint Model for Chinese Word Segmentation
... for Chinese word segmentation, and both discrimi- native and generative models can be adopted in that ...joint model combining the character-based generative model and the ... See full document
9
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
... where word boundaries are not readily identified in text, word segmentation is a key first step to generating features for an NER ...using word boundary tags as features are helpful, the ... See full document
7
An Double Hidden HMM and an CRF for Segmentation Tasks with Pinyin’s Finals
... With the rapid growth of structural learning algorithms, such as conditional random fields (CRFs) (Lafferty et al., 2001) and maximum- margin Markov models (M 3 N) (Taskar et al., 2003) have received a great attention ... See full document
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