One of the books was a very large volume, an arithmetic text, heavily bound in leather.
其中一本书是一本很厚的算术课本，用羊皮纸包得很厚。
This works best with large blocks of text, but the approach can still be used when dealing with shorter phrases.
这种方法适用于大型文本块，但是在处理较短的短语时仍然可以使用这种方法。
Some of the differences you'll see if you try this example yourself are more precise layout of text and sharper characters at large font sizes and when zoomed.
如果试用一下这一例子的话，你会发现，在大文字尺寸方面和在缩放时，存在着更精确的文字布局和更清晰的字符这种差异。
Given large data sets, whether they are text or numeric, it is often useful to group together, or cluster, similar items automatically.
对于大型数据集来说，无论它们是文本还是数值，一般都可以将类似的项目自动组织，或集群，到一起。
Consider a large collection of fast food restaurant surveys, which amounts to a large amount of unstructured text.
考虑收集到的大量快餐餐馆的问卷调查，其中包含了许多非结构化文本。
He has no real readers and he probably doesn't handle any of the blogging process, but he sells text links on such a large scale that he's now a millionaire.
他没有真正的读者，他甚至不需要处理任何博客程序，但他在如此大的范围拟卖文本链接所以他现在成了百万富翁。
The resulting options and supported input values are not quite freeform text, but with a suitably large list of terms, it can be quite extensive.
结果选项和支持的输入值并非完全自由的文本，但是如果有足够大的搜索项列表，就有很大的选择余地了。
With large page support, applications are able to run with text and data segments backed by large pages (16mb) with no changes to the application code.
有了大页的支持，无需修改应用程序的代码就可以在运行时使用得到大页(16mb)支持的文本和数据。
If the distance between different levels of navigation is too large (for instance because some navigation items have more text) users have to move the mouse horizontally.
如果不同层级的导航间隔太大(比如说有的导航项目文字太多)，用户就必须水平移动鼠标。
Attempting to perform any sophisticated text analysis using the built-in string functions results in massively large functions and stored procedures that are difficult to debug and maintain.
尝试使用内置的字符串函数执行任何复杂的文本分析会导致难于调试和维护的庞大的函数和存储过程。
They don't work as well with reading large files, particularly in text format, as they do with reading much smaller files or calculating simple functions.
当解析器读写大型文件(特别是文本格式的大型文件)时，并不能达到其读取较小的文件或计算简单函数时的性能。
For example, authority lists may support programmatic identification of personal or place names in large text resources.
比如说，规范列表可能支持系统在很大的文本资源中识别个人或者地点的名称。
To start with, we need to deal with the large piece of unruly text from above.
作为开始，我们首先需要处理上面这一大段不规则的文本。
So either you need to convert everything in XML-safe encodings, or you need to put large areas of text, code or whatever, into CDATA blocks.
所以您或者需要以 XML 支持的编码对它们进行转换，或者需要将一大段的文本、代码或其他内容放到 CDATA 块中。
Move away from large text documents to visual representations, and use scenario-based requirements definitions (see Figure 5).
从大型文本文件转移至可视代表，并使用基于场景的需求定义(参见图5)。
Text indexes can be created on a range of data types from small VARCHARs to large BLOBs that contain text objects.
文本索引可以在广泛范围的数据类型中创建，包括小型的VARCHAR和大型的BLOB等包含文本对象的数据类型。
Out:Resumes that are "grey, " with large chunks of unbroken text that require recruiters to slow down.
错误的做法：不起眼的简历，一大段文字还不分段，招聘人员要慢慢去看。
Out: Resumes that are "grey," with large chunks of unbroken text that require recruiters to slow down.
错误的做法：不起眼的简历，一大段文字还不分段，招聘人员要慢慢去看。
Having the text nice and large makes it appear very bold, but at the same time because it's a very thin typeface, it comes out looking elegant.
漂亮大方的文字显得非常大气，同时它是一种细瘦字型，因此看起来十分优雅。
Visually impaired users, for example, often need a look and feel with a high contrast between text and background, as well as large fonts and ICONS.
例如，有些弱视用户常常要求look -and -feel在文本与背景之间具有高对比度，同时还要有大的字体和图标。
Just make sure XML-based Web services with large text files do not get bloated when used in massive quantities.
只要确保在大量使用时，处理大型文本文件的基于XML的Web服务不会变得过于庞大即可。
If XML-based Web services, such as producers, consumers, brokers, and subscribers, contain large text files in massive quantities, the XOP specification must process the XML-based Web services.
如果基于XML的Web服务(如生产者、使用者、代理、订阅者)包含大量的大型文本文件，则XOP规范必须处理基于XML的Web服务。
With the InfoSphere Warehouse data Exploration view you can browse samples of database tables, browse the contents of large text columns, and determine the average length of text strings.
在InfoSphere Warehouse的Data Exploration视图中，可以浏览数据库表的示例、浏览大型文本列的内容和判断文本字符串的平均长度。
The most obvious of these features —the software keyboard for text input and the large scroll for select lists — are automatically available as an iPhone Web developer.
这些功能中最显而易见的是用于文本输入的软键盘和用于select列表的较大的滚动条，iPhoneWeb开发人员必然会用到这些功能。
Break up large bodies of text with screen shots, tables, bulleted lists, etc.
把大块文本内容分解成，screenshots，表格、重点列表等等。
You should now have a new start page that displays your custom image, and shows the text published models in a large red font with underlining.
现在你应该有一个新的首面显示你定制的图片，并且用一种大号红色带下划线的字体显示publishedmodels 。
Serif fonts look cool but create a lot of eye fatigue in large blocks of text.
Serif字体虽然很棒但如果是大块文本会造成眼睛疲劳。
Comparing large amounts of text with any kind of sophistication is not a trivial task.
将大量的各种复杂程度的文本进行比较，并不是一项简单的任务。
An attacker could also exponentially build up entity references purely in the internal DTD subset so that a small input document produces a large quantity of text.
攻击者也可以根据指数只在内部dtd子集中有规律地建立实体引用，这样，就会使小的输入文档制造出大量的文本。
Sometimes, default attributes like the length of text fields are too large for most practical applications.
有时，像文本字段的长度这样的默认属性对于大多数实用的应用程序而言都会过大。
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