[PDF] Top 20 Semi supervised Chinese Word Segmentation based on Bilingual Information
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Semi supervised Chinese Word Segmentation based on Bilingual Information
... a bilingual semi- supervised Chinese word segmentation (CWS) method that leverages the nat- ural segmenting information of English ...sub-model based on ... See full document
10
Semi automatic Annotation of Chinese Word Structure
... a semi-supervised approach to annotating Chinese word structures, based on Chinese morphology and applied it to automatic annotation of two-character Chinese words with ... See full document
9
Graph based Semi Supervised Model for Joint Chinese Word Segmentation and Part of Speech Tagging
... The nature of the similarity graph enforces that the connected trigrams with high weight appearing in different texts should have similar syntax con- figurations. Thus, the constructed graph is expect- ed to provide ... See full document
10
An Empirical Study Of Semi Supervised Chinese Word Segmentation Using Co Training
... the word-based ...The word-based segmenter implemented in this work is less power- ful, and it needs a good dictionary to achieve good ...the word-based model suffers a lot when ... See full document
10
Semi Supervised Chinese Word Segmentation Using Partial Label Learning With Conditional Random Fields
... the supervised data) and then iteratively decoding the unlabelled data and updating the baseline ...tual information and accessor variety from un- labelled data, and add them to supervised dis- ... See full document
9
Improving Chinese Word Segmentation and POS Tagging with Semi supervised Methods Using Large Auto Analyzed Data
... consider word-level ...a word in an existing dictionary, it may be a clue that the character se- quence should be segmented as one ...for Chinese word segmentation (Low et ... See full document
9
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints
... the bilingual knowledge to form learning constraints that guide a supervised segmentation model toward a better solution for ...the bilingual motivat- ed models, character-based ... See full document
10
Co regularizing character based and word based models for semi supervised Chinese word segmentation
... a semi-supervised Chinese word segmentation (CWS) ap- proach that co-regularizes character-based and word-based ...label information on unla- beled ...and ... See full document
6
Semi supervised Chinese Word Segmentation for CLP2012
... contextual information presents in natural language, such as information concerning label assigned at a long distance from a given character string, or even crucial textual information from the whole ... See full document
6
Bayesian Semi Supervised Chinese Word Segmentation for Statistical Machine Translation
... in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) ...a Chinese word seg- menter trained from manually annotated data, using a ... See full document
8
Chinese Segmentation with a Word Based Perceptron Algorithm
... Penn Chinese Treebank Corpus (CTB), the Hong Kong City Uni- versity Corpus (CU) and the Peking University Cor- pus ...Penn Chinese Treebank Corpus is currently un- available, we excluded this ... See full document
8
A compression based algorithm for Chinese word segmentation
... To infer word boundaries, a general adaptive text compression technique is used that predicts upcoming characters on the basis of their preceding context.. Spaces are inserted into posit[r] ... See full document
20
Semi Supervised Sequential Labeling and Segmentation Using Giga Word Scale Unlabeled Data
... in semi-supervised learn- ing can improve the performance of Natu- ral Language Processing (NLP) tasks, such as part-of-speech tagging, syntactic chunking, and named entity ...powerful ... See full document
9
Active Learning Based Elicitation for Semi Supervised Word Alignment
... Re-training the word alignment models after elic- iting every individual alignment link is infeasible. In our data set of 21,863 sentences with 588,075 links, it would be computationally intensive to re- train ... See full document
6
Chinese Short Text Categorization Based on Semi Supervised Learning
... It can be seen from the equation (4), the selection of the weak hypothesis is only based on the fact that whether the feature appears or not. Obviously, under the above conditions, the weak hypothesis can divide ... See full document
10
A Comparative Study of Minimally Supervised Morphological Segmentation
... The semi-supervised training procedure then adjusts the weight values α and β ...for segmentation performance rather than maximum a posteriori ... See full document
30
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 ...of ... See full document
10
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