MeCab is an open-source text segmentation library for use with text written in the Japanese language originally developed by the Nara Institute of Science and Technology and currently maintained by Taku Kudou (工藤拓) as part of his work on the Google Japanese Input project. The name derives from the developer's favorite food, (和布蕪), a Japanese dish made from wakame leaves. MeCab can analyze and segment a sentence into its parts of speech. There are several dictionaries available for MeCab, but is the most commonly used one as with ChaSen.
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| - MeCab (en)
- MeCab (ja)
- MeCab (pt)
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| - MeCabはオープンソースの形態素解析エンジンで、奈良先端科学技術大学院大学出身、現GoogleソフトウェアエンジニアでGoogle 日本語入力開発者の一人である工藤拓によって開発されている。名称は開発者の好物「和布蕪（めかぶ）」から取られた。 開発開始当初はChaSenを基にし、ChaSenTNGという名前で開発されていたが、現在はChaSenとは独立にスクラッチから開発されている。ChaSenに比べて解析精度は同程度で、解析速度は平均3-4倍速い。 品詞情報を利用した解析・推定を行うことができる。MeCabで利用できる辞書はいくつかあるが、ChaSenと同様にで構築されたIPADICが一般的に用いられている。 MeCabはGoogleが公開した大規模日本語n-gramデータの作成にも使用された。 Mac OS X v10.5及びv10.6のSpotlightやiPhone OS 2.1以降とOS X Yosemite以降の日本語入力にも利用されている。 (ja)
- MeCab is an open-source text segmentation library for use with text written in the Japanese language originally developed by the Nara Institute of Science and Technology and currently maintained by Taku Kudou (工藤拓) as part of his work on the Google Japanese Input project. The name derives from the developer's favorite food, (和布蕪), a Japanese dish made from wakame leaves. MeCab can analyze and segment a sentence into its parts of speech. There are several dictionaries available for MeCab, but is the most commonly used one as with ChaSen. (en)
- O MeCab é uma biblioteca de segmentação de texto de código aberto para uso com texto escrito no idioma japonês originalmente desenvolvido pelo Instituto Nara de Ciência e Tecnologia e atualmente mantido por Taku Kudou (工藤拓) como parte de seu trabalho no projeto Google Japanese Input. O nome deriva da comida favorita do desenvolvedor, (和布蕪), um prato japonês feito de folhas de wakame. (pt)
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| - Taku Kudou, Google Japanese Input project (en)
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| - Tri-licensed under GPL, LGPL and BSD licenses (en)
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| - C++, has modules for C, C#, Java, Perl, Python, and Ruby (en)
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| - MeCab is an open-source text segmentation library for use with text written in the Japanese language originally developed by the Nara Institute of Science and Technology and currently maintained by Taku Kudou (工藤拓) as part of his work on the Google Japanese Input project. The name derives from the developer's favorite food, (和布蕪), a Japanese dish made from wakame leaves. The software was originally based on ChaSen and was developed under the name ChaSenTNG, but now it is developed independently from ChaSen and was rewritten from scratch. MeCab's analysis accuracy is comparable to ChaSen, and its analysis speed is 3–4 times faster on average. MeCab can analyze and segment a sentence into its parts of speech. There are several dictionaries available for MeCab, but is the most commonly used one as with ChaSen. In 2007, Google used MeCab to generate n-gram data for a large corpus of Japanese text, which it published on its Google Japan blog. MeCab is also used for Japanese input on Mac OS X 10.5 and 10.6, and in iOS since version 2.1. (en)
- MeCabはオープンソースの形態素解析エンジンで、奈良先端科学技術大学院大学出身、現GoogleソフトウェアエンジニアでGoogle 日本語入力開発者の一人である工藤拓によって開発されている。名称は開発者の好物「和布蕪（めかぶ）」から取られた。 開発開始当初はChaSenを基にし、ChaSenTNGという名前で開発されていたが、現在はChaSenとは独立にスクラッチから開発されている。ChaSenに比べて解析精度は同程度で、解析速度は平均3-4倍速い。 品詞情報を利用した解析・推定を行うことができる。MeCabで利用できる辞書はいくつかあるが、ChaSenと同様にで構築されたIPADICが一般的に用いられている。 MeCabはGoogleが公開した大規模日本語n-gramデータの作成にも使用された。 Mac OS X v10.5及びv10.6のSpotlightやiPhone OS 2.1以降とOS X Yosemite以降の日本語入力にも利用されている。 (ja)
- O MeCab é uma biblioteca de segmentação de texto de código aberto para uso com texto escrito no idioma japonês originalmente desenvolvido pelo Instituto Nara de Ciência e Tecnologia e atualmente mantido por Taku Kudou (工藤拓) como parte de seu trabalho no projeto Google Japanese Input. O nome deriva da comida favorita do desenvolvedor, (和布蕪), um prato japonês feito de folhas de wakame. O software foi originalmente baseado no ChaSen e foi desenvolvido com o nome ChaSenTNG, mas depois foi desenvolvido independentemente do ChaSen e reescrito do zero. A precisão da análise do MeCab é comparável ao ChaSen e sua velocidade de análise é de 3 a 4 vezes mais rápida, em média. Em 2007, o Google usou o MeCab para gerar dados em para um grande corpus de texto em japonês, publicado em seu blog do Google Japan. O MeCab também é usado para no MacOS X 10.5 e 10.6 e no iOS desde a versão 2.1. (pt)
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