几何公差的说明尺寸
2021-02-27 21:01:12 2.58MB 几何公差
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Nondestructive Raman spectroscopy and external-beam proton-induced X-ray emission (PIXE) technique to analyze eight ancient glasses unearthed from the provinces of Henan, Hubei, and Jiangsu, which allowes for a good characterization of the glass matrix and chemical compositions, is carried out. The results indicate that all the eight glass samples could be typically divided into three systems: faience (sample No. SZWG-4), PbO-BaO-SiO2 (sample Nos. NYWKI-5-1, HNWKII-88, and HNWKII-84), and Na2OCa
2021-02-26 09:05:47 605KB 无损鉴定 拉曼光谱 PIXE 中国古代
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中文核心期刊,计算机学报的Latex模板,花了半个月终于弄到手了,分享出来,给大家使用,这是官网的,去下载很难下载下来的。
2021-02-25 14:13:58 661KB Latex 计算机学报Latex Chinese Latex
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chinese.rar
2021-02-22 13:03:06 19.7MB ttf
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Not all languages, e.g. Chinese, have delimiters for words. To extract words from a sentence in these languages, we usually rely on a dictionary for known words. For unknown words, some approaches rely on a domain specific dictionary or a tailor-made learning data set. However, this information may not be available. Another direction is to use unsupervised methods. These methods rely on a goodness measure to evaluate how likely the words are meaningful based on a statistical argument on the give
2021-02-20 20:10:20 512KB 研究论文
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The Lancaster Corpus of Mandarin Chinese (LCMC) is designed as a Chinese match for the FLOB and FROWN corpora for modern British and American English. The corpus is suitable for use in both monolingual research into modern Mandarin Chinese and cross-linguistic contrast of Chinese and British/American English. The corpus sampled 15 written text categories including news, literary texts, academic prose and official documents etc published in P. R. China in the earlier 1990s for a total of approximately 1 million words. The same sampling frame and period as FLOB/FROWN were used in LCMC. The corpus is marked up for text categories, sample file numbers, paragraphs, sentences and tokens. Linguistic annotations undertaken on the corpus include tokenization and part-of-speech tagging. The whole corpus is annotated at the word level and includes orthographic and morphological annotations. The tagging system used was produced by the Institute of Computing Science Chinese Lexical Analysis System (ICTCLAS), the Chinese Academy of Sciences. The corpus is encoded in Unicode (UTF-8) and marked up in XML. The corpus comes with a User Manual detailing corpus design specifications and part-of-speech tags. The XML structure of the corpus was validated using the parser built in Xaira. Part-of-speech tagging of all aspect markers was manually checked.
2021-02-18 20:17:08 5.15MB LCMC
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比对文件夹下面的文件,然后可以进行删除
2021-02-10 21:05:19 8KB drvf
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Grammar learning has been a bottleneck problem for a long time. In this paper, we propose a method of semantic separator learning, a special case of grammar learning. The method is based on the hypothesis that some classes of words, called semantic separators, split a sentence into several constituents. The semantic separators are represented by words together with their part-of-speech tags and other information so that rich semantic information can be involved. In the method, we first identify t
2021-02-09 18:05:56 509KB semantic separator; separator learning;
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云开发 quickstart 这是云开发的快速启动指引,其中演示了如何上手使用云开发的三大基础能力: 数据库:一个既可在小程序前端操作,也能在云函数中读写的 JSON 文档型数据库 文件存储:在小程序前端直接上传/下载云端文件,在云开发控制台可视化管理 云函数:在云端运行的代码,微信私有协议天然鉴权,开发者只需编写业务逻辑代码
2021-02-08 19:09:16 1.31MB 云开发 quickstart
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哈工大版本,for pytorch
2021-02-07 15:07:56 367.19MB nlp
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