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توضیحات

CJK Line Break Organizer

ویژگی	مقدار
سیستم عامل	-
نام فایل	budou-0.9.8
نام	budou
نسخه کتابخانه	0.9.8
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Shuhei Iitsuka
ایمیل نویسنده	tushuhei@google.com
آدرس صفحه اصلی	https://github.com/google/budou/
آدرس اینترنتی	https://pypi.org/project/budou/
مجوز	Apache

Budou 🍇 =========== .. image:: https://badge.fury.io/py/budou.svg :target: https://badge.fury.io/py/budou .. image:: https://travis-ci.org/google/budou.svg?branch=master :target: https://travis-ci.org/google/budou English text has many clues, like spacing and hyphenation, that enable beautiful and legible line breaks. Some CJK languages lack these clues, and so are notoriously more difficult to process. Without a more careful approach, breaks can occur randomly and usually in the middle of a word. This is a long-standing issue with typography on the web and results in a degradation of readability. Budou automatically translates CJK sentences into HTML with lexical chunks wrapped in non-breaking markup, so as to semantically control line breaks. Budou uses word segmenters to analyze input sentences. It can also concatenate proper nouns to produce meaningful chunks utilizing part-of-speech (pos) tagging and other syntactic information. Processed chunks are wrapped with the :code:`SPAN` tag. These semantic units will no longer be split at the end of a line if given a CSS :code:`display` property set to :code:`inline-block`. Installation -------------- The package is listed in the Python Package Index (PyPI), so you can install it with pip: .. code-block:: sh $ pip install budou Output -------------- Budou outputs an HTML snippet wrapping chunks with :code:`span` tags: .. code-block:: html 常に最新、 最高のモバイル。 Semantic chunks in the output HTML will not be split at the end of line by configuring each :code:`span` tag with :code:`display: inline-block` in CSS. .. code-block:: css .ww { display: inline-block; } By using the output HTML from Budou and the CSS above, sentences on your webpage will be rendered with legible line breaks: .. image:: https://raw.githubusercontent.com/wiki/google/budou/images/nexus_example.jpeg Using as a command-line app ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You can process your text by running the :code:`budou` command: .. code-block:: sh $ budou 渋谷のカレーを食べに行く。 The output is: .. code-block:: html 渋谷のカレーを 食べに行く。 You can also configure the command with optional parameters. For example, you can change the backend segmenter to `MeCab <#mecab-segmenter>`_ and change the class name to :code:`wordwrap` by running: .. code-block:: sh $ budou 渋谷のカレーを食べに行く。 --segmenter=mecab --classname=wordwrap The output is: .. code-block:: html 渋谷のカレーを 食べに行く。 Run the help command :code:`budou -h` to see other available options. Using programmatically ~~~~~~~~~~~~~~~~~~~~~~~~~ You can use the :code:`budou.parse` method in your Python scripts. .. code-block:: python import budou results = budou.parse('渋谷のカレーを食べに行く。') print(results['html_code']) # 渋谷のカレーを # 食べに行く。 You can also make a parser instance to reuse the segmenter backend with the same configuration. If you want to integrate Budou into your web development framework in the form of a custom filter or build process, this would be the way to go. .. code-block:: python import budou parser = budou.get_parser('mecab') results = parser.parse('渋谷のカレーを食べに行く。') print(results['html_code']) # 渋谷のカレーを # 食べに行く。 for chunk in results['chunks']: print(chunk.word) # 渋谷の名詞 # カレーを名詞 # 食べに動詞 # 行く。動詞 (deprecated) :code:`authenticate` method ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :code:`authenticate`, which had been the method used to create a parser in previous releases, is now deprecated. The :code:`authenticate` method is now a wrapper around the :code:`get_parser` method that returns a parser with the `Google Cloud Natural Language API <#google-cloud-natural-language-api-segmenter>`_ segmenter backend. The method is still available, but it may be removed in a future release. .. code-block:: python import budou parser = budou.authenticate('/path/to/credentials.json') # This is equivalent to: parser = budou.get_parser( 'nlapi', credentials_path='/path/to/credentials.json') Available segmenter backends ------------------------------ You can choose different segmenter backends depending on the needs of your environment. Currently, the segmenters below are supported. .. csv-table:: :header: Name, Identifier, Supported Languages `Google Cloud Natural Language API <#google-cloud-natural-language-api-segmenter>`_, nlapi, "Chinese, Japanese, Korean" `MeCab <#mecab-segmenter>`_, mecab, "Japanese" `TinySegmenter <#tinysegmenter-based-segmenter>`_, tinysegmenter, "Japanese" Specify the segmenter when you run the :code:`budou` command or load a parser. For example, you can run the :code:`budou` command with the MeCab segmenter by passing the :code:`--segmenter=mecab` parameter: .. code-block:: sh $ budou 今日も元気です --segmenter=mecab You can pass :code:`segmenter` parameter when you load a parser: .. code-block:: python import budou parser = budou.get_parser('mecab') parser.parse('今日も元気です') If no segmenter is specified, the Google Cloud Natural Language API is used as the default. .. _nlapi-segmenter: Google Cloud Natural Language API Segmenter ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Google Cloud Natural Language API (https://cloud.google.com/natural-language/) (NL API) analyzes input sentences using machine learning technology. The API can extract not only syntax but also entities included in the sentence, which can be used for better quality segmentation (see more at `Entity mode <#entity-mode>`_). Since this is a simple REST API, you don't need to maintain a dictionary. You can also support multiple languages using one single source. Supported languages ++++++++++++++++++++++ - Simplified Chinese (zh) - Traditional Chinese (zh-Hant) - Japanese (ja) - Korean (ko) For those considering using Budou for Korean sentences, please refer to the `Korean support <#korean-support>`_ section. Authentication +++++++++++++++ The NL API requires authentication before use. First, create a Google Cloud Platform project and enable the Cloud Natural Language API. Billing also needs to be enabled for the project. Then, download a credentials file for a service account by accessing the `Google Cloud Console <https://console.cloud.google.com/>`_ and navigating through "API & Services" > "Credentials" > "Create credentials" > "Service account key" > "JSON". Budou will handle authentication once the path to the credentials file is set in the :code:`GOOGLE_APPLICATION_CREDENTIALS` environment variable. .. code-block:: sh $ export GOOGLE_APPLICATION_CREDENTIALS='/path/to/credentials.json' You can also pass the path to the credentials file when you initialize the parser. .. code-block:: python parser = budou.get_parser( 'nlapi', credentials_path='/path/to/credentials.json') The NL API segmenter uses *Syntax Analysis* and incurs costs according to monthly usage. The NL API has free quota to start testing the feature without charge. Please refer to https://cloud.google.com/natural-language/pricing for more detailed pricing information. Caching system ++++++++++++++++ Parsers using the NL API segmenter cache responses from the API in order to prevent unnecessary requests to the API and to make processing faster. If you want to force-refresh the cache, set :code:`use_cache` to :code:`False`. .. code-block:: python parser = budou.get_parser(segmenter='nlapi', use_cache=False) result = parser.parse('明日は晴れるかな') In the `Google App Engine Python 2.7 Standard Environment <https://cloud.google.com/appengine/docs/standard/python/>`_, Budou tries to use the `memcache <https://cloud.google.com/appengine/docs/standard/python/memcache/>`_ service to cache output efficiently across instances. In other environments, Budou creates a cache file in the `python pickle <https://docs.python.org/3/library/pickle.html>`_ format in your file system. .. _entity-mode: Entity mode ++++++++++++++++++ The default parser only uses results from Syntactic Analysis for parsing, but you can also utilize results from *Entity Analysis* by specifying `use_entity=True`. Entity Analysis will improve the accuracy of parsing for some phrases, especially proper nouns, so it is recommended if your target sentences include names of individual people, places, organizations, and so on. Please note that Entity Analysis will result in additional pricing because it requires additional requests to the NL API. For more details about API pricing, please refer to https://cloud.google.com/natural-language/pricing. .. code-block:: python import budou # Without Entity mode (default) result = budou.parse('六本木ヒルズでご飯を食べます。', use_entity=False) print(result['html_code']) # 六本木ヒルズで # ご飯を食べます。 # With Entity mode result = budou.parse('六本木ヒルズでご飯を食べます。', use_entity=True) print(result['html_code']) # 六本木ヒルズで # ご飯を食べます。 .. _mecab-segmenter: MeCab Segmenter ~~~~~~~~~~~~~~~~~~~~~~~ MeCab (https://github.com/taku910/mecab) is an open source text segmentation library for the Japanese language. Unlike the Google Cloud Natural Language API segmenter, the MeCab segmenter does not require any billed API calls, so you can process sentences for free and without an internet connection. You can also customize the dictionary by building your own. Supported languages ++++++++++++++++++++++ - Japanese Installation +++++++++++++++++ You need to have MeCab installed to use the MeCab segmenter in Budou. You can install MeCab with an IPA dictionary by running .. code-block:: sh $ make install-mecab in the project's home directory after cloning this repository. .. _tinysegmenter-based-segmenter: TinySegmenter-based Segmenter ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ TinySegmenter (http://chasen.org/~taku/software/TinySegmenter/) is a compact Japanese tokenizer originally created by (c) 2008 Taku Kudo. It tokenizes sentences by matching against a combination of patterns carefully designed using machine learning. This means that **you can use this backend without any additional setup!** Supported languages ++++++++++++++++++++++ - Japanese .. _korean: Korean support ------------------- Korean has spaces between chunks, so you can perform line breaking simply by putting `word-break: keep-all` in your CSS. We recommend that you use this technique instead of using Budou. Use cases --------------- Budou is designed to be used mostly in eye-catching sentences such as titles and headings on the assumption that split chunks would stand out negatively at larger font sizes. Accessibility ------------------- Some screen reader software packages read Budou's wrapped chunks one by one. This may degrade the user experience for those who need audio support. You can attach any attribute to the output chunks to enhance accessibility. For example, you can make screen readers read undivided sentences by combining the `aria-describedby` and `aria-label` attributes in the output. .. code-block:: html やりたい ことの そばに いる **This functionality is currently nonfunctional** due to the html5lib sanitizer's behavior, which strips ARIA-related attributes from the output HTML. Progress on this issue is tracked at https://github.com/google/budou/issues/74 Author ---------- Shuhei Iitsuka - Website: https://tushuhei.com - Twitter: https://twitter.com/tushuhei Disclaimer ----------------- This library is authored by a Googler and copyrighted by Google, but is not an official Google product. License ----------- Copyright 2018 Google LLC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

نیازمندی

مقدار	نام
-	chardet
-	docopt
-	future
-	google-api-python-client
-	google-auth-httplib2
>=1.0.0	google-auth
==1.0.1	html5lib
-	six
-	tinysegmenter3
-	urllib3

نحوه نصب

نصب پکیج whl budou-0.9.8:

pip install budou-0.9.8.whl

نصب پکیج tar.gz budou-0.9.8:

pip install budou-0.9.8.tar.gz