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Tài liệu Dive Into Python-Chapter 8. HTML Processing doc
... handle_comment with the body of the comment. Processing instruction An HTML processing instruction, enclosed in <? >. When found, SGMLParser calls handle_pi with the body of the processing ... python BaseHTMLProcessor.py SGMLParser = sgmllib.SGMLParser 1 htmlentitydefs = <module 'htmlentitydefs' from 'C:\Python23\lib\htmlentitydefs.py'> 2 BaseHTMLProcessor ... Introducing sgmllib.py HTML processing is broken into three steps: breaking down the HTML into its constituent pieces, fiddling with the pieces, and reconstructing the pieces into HTML again. The...
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... intuitive framework along with substantial building blocks, giving users a practical knowledge of NLP without getting bogged down in the tedious house-keeping usually associated with processing annotated ... 1-4. Table 1-4. Some word comparison operators Function Meaning s.startswith(t) Test if s starts with t s.endswith(t) Test if s ends with t t in s Test if t is contained inside s s.islower() Test if ... 79 3.1 Accessing Text from the Web and from Disk 80 3.2 Strings: Text Processing at the Lowest Level 87 3.3 Text Processing with Unicode 93 3.4 Regular Expressions for Detecting Word Patterns 97 3.5...
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Python Text Processing with NLTK 2.0 Cookbook docx
... temporal expressions with Timex 233 Extracting URLs from HTML with lxml 234 Cleaning and stripping HTML 236 Converting HTML entities with BeautifulSoup 238 Detecting and converting character ... 111 Chunking and chinking with regular expressions 112 Merging and splitting chunks with regular expressions 117 Expanding and removing chunks with regular expressions 121 Partial parsing with regular expressions ... 187 Combining classiers with voting 191 Classifying with multiple binary classiers 193 Chapter 8: Distributed Processing and Handling Large Datasets 201 Introduction 202 Distributed tagging with execnet...
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... anything that can be proven with x can equivalently be proven with y. (16) x y X 0 Z Normalisation and the Dependency Calculus These efficiency problems for parsing with the DC can be seen ... allows a subject NP to com- bine with a transitive verb before the verb has com- bined with its object. In (3b), a sentence em- bedding verb is composed with a raised subject NP. Note that ... as a ba- sis for incremental processing. Then, we propose a grammar that avoids these problems, and demon- strate how it may be used for efficient incremental processing. Mark Hepple University...
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... "-~ Figure 1: Kana-Kanji Conversion with a Neural Network are too simple to disambiguate between possi- ble previous selections for the same homonym with respect to the context or between ... con- version process reinforced with a neural net- work handler. The network is used by the neural network handler and word associations are done in parallel with kana-kanji conver- sion. ... 1988. Rumelhart, D., McClelland, J., and the PDP Research Group, "Parallel Distributed Processing: Explorations in the Microstructure of Cogni- tion," MIT Press, 1986. Waltz,...
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DEFCON: High-Performance Event Processing with Information Security pdf
... Traders ticks+orders +processing ticks +processing processing Figure 9: Event processing latency in Marketcetera broken down into individual contributions. ranges from 220,000 events per second with 200 Traders to ... multiple tags with- out contaminating its state permanently. DEFCON then creates and reuses separate unit instances with contaminations appropriate for the processing of incoming events. Units with managed ... reflects the sensitivity with respect to both sources of the data. Similarly, if data from a stock ticker with an integrity component {i-stockticker} is combined with client data with integrity {i-trader-77},...
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Báo cáo khoa học: "Reducing Approximation and Estimation Errors for Chinese Lexical Processing with Heterogeneous Annotations" pot
... f-score of 94.36. Both character and sub-word tagging model can be enhanced with auto- matically converted corpus. With the pseudo labeled data, the performance goes up to 94.11 and 94.68. These ... to leverage het- erogeneous annotations to reduce the approximation error with stacking models and the estimation error with automatically converted corpora is very general and applicable to other ... is achieved with much unlabeled data, which is different from our setting. 239 al. (2009) present a preliminary study for the annota- tion adaptation topic, and conduct experiments with the extra...
Ngày tải lên: 23/03/2014, 14:20
Python Text Processing with NLTK 2.0 Cookbook doc
... Natural Language Processing. You want to employ nothing less than the best techniques in Natural Language Processing and this book is your answer. Python Text Processing with NLTK 2.0 Cookbook ... short the preamble and lets you dive right into the science of text processing with a practical hands-on approach. Get started off with learning tokenization of text. Receive an overview of WordNet ... 25 Lemmatizing words with WordNet 28 Translating text with Babelsh 30 Replacing words matching regular expressions 32 Removing repeating characters 34 Spelling correction with Enchant 36 Replacing...
Ngày tải lên: 23/03/2014, 21:20
Applied Speech and Audio Processing: With MATLAB doc
... universal scaling within Matlab so we will use this wherever possible. In this format, a recorded sample with integer value 32 767 would be stored with a floating point value of +1.0, and a recorded sample with ... in the bibliography. Generally, the audio processing specialist is fortunate enough to be able to work with digital audio without being too concerned with how it was captured, or how it will be ... Basic audio processing 2.8 Summary This chapter has covered the basics of obtaining and storing audio with Matlab, some of the most important features to be aware of when working with audio,...
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Applied Speech and Audio Processing: With MATLAB Examples potx
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