Natural Language Processing with Python Phần 6 pdf
... 0.25% 0.25% 0.25% 0.25% 0.25% 0.25% –up 49.9% 4. 46% 4. 46% 4. 46% 4. 46% 4. 46% 4. 46% 4. 46% 4. 46% 4. 46% In particular, the distribution is consistent with what we know: if we add up the prob- abilities ... (e.g., as part of a language processing system), then we can use the model to make predictions about new data without worrying about the details of underlying causal relationshi...
Ngày tải lên: 07/08/2014, 04:20
... 233 6. 3 Evaluation 237 6. 4 Decision Trees 242 6. 5 Naive Bayes Classifiers 245 6. 6 Maximum Entropy Classifiers 250 6. 7 Modeling Linguistic Patterns 254 6. 8 Summary 2 56 6.9 Further Reading 2 56 6.10 ... interesting ways. But before we can do this, we have to get started with the Python interpreter. 1 Natural Language Processing with Python ways to parse a sentence,...
Ngày tải lên: 07/08/2014, 04:20
... might must will news 93 86 66 38 50 389 religion 82 59 78 12 54 71 hobbies 268 58 131 22 83 264 science_fiction 16 49 4 12 8 16 romance 74 193 11 51 45 43 humor 16 30 8 8 9 13 Observe that ... that you probably didn’t notice it was made, yet a natural language system needs to be endowed with this capability in order to interact naturally. Without it, when asked, Do you know wh...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 3 pot
... is 0 061 , so we can define a Unicode string literal with the appropriate escape sequence: >>> a = u'\u0 061 ' >>> a u'a' >>> print a a 3.3 Text Processing ... for us. 94 | Chapter 3: Processing Raw Text • If a regular expression string includes a backslash, you should tell Python not to preprocess the string, by using a raw string with...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 4 ppsx
... replaced with the function’s result: >>> repeat(monty(), 3) 'Monty Python Monty Python Monty Python& apos; >>> repeat('Monty Python& apos;, 3) 'Monty Python Monty Python ... snake_nest[position] = [&apos ;Python& apos;] >>> snake_nest [[&apos ;Python& apos;], [&apos ;Python& apos;], [&apos ;Python& apos;], [&apos ;Python& apos;], [&apos ;P...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 5 pptx
... classifier.pseudocode(depth=4) if endswith(,) == True: return ',' if endswith(,) == False: if endswith(the) == True: return 'AT' if endswith(the) == False: if endswith(s) == True: if endswith(is) ... discussed in Section 6. 3, to improve the accuracy of the evaluations.) 5.10 Exercises | 219 CHAPTER 6 Learning to Classify Text Detecting patterns is a central part of...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 7 ppt
... serve as a model of psycholinguistic processing, helping to explain the difficulties that humans have with processing certain syntactic constructions. Many natural language applica- tions involve ... constraints that govern sentences. We need a way to deal with the ambiguity that natural language is famous for. We also need to be able to cope with the fact that there are an u...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 8 pot
... it into various other special-purpose languages. In fact, most serious attempts to query databases via natural language have used this methodology. Natural Language, Semantics, and Logic We started ... logic-based approaches to natural language semantics focus on those aspects of natural language that guide our judgments of consistency and inconsistency. The syntax of a logical...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 9 pptx
... nltk.corpus.timit.word_times('dr1-fvmh0/sa1') [('she', 7812, 1 061 0), ('had', 1 061 0, 144 96) , ('your', 144 96, 15791), ('dark', 15791, 20720), ('suit', 20720, 2 564 7), ('in', 2 564 7, 269 06) , ('greasy', ... 269 06) , ('greasy', 269 06, 3 266 8), ('wash', 3 266 8, 37890), ('water&apo...
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 10 potx
... 190 documentation for Python standard types, 173 finding type of Python objects, 86 function parameter, 1 46 operations on objects, 86 database query via natural language, 361 – 365 databases, obtaining ... 231–233 Swadesh wordlists, 65 symbol processing, language processing versus, 442 synonyms, 67 synsets, 67 semantic similarity, 71 in WordNet concept hierarchy, 69 4...
Ngày tải lên: 07/08/2014, 04:20