• Tagging, chunking, and parsing.

    添加标签(tagging)、分块(chunking)和解析(parsing)。

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  • Use "chunking" to reduce cognitive overhead.

    使用“分块记忆”降低认知负荷。

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  • In particular, techniques for chunking can generate topics out of a book DTD.

    具体来说,组块技术可以从图书DTD中生成主题。

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  • An example of effective chunking is found at Yahoo and My Way (Image 12 and 13).

    两个非常有效的信息分块的例子是Yahoo和MyWay(图12和13)。

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  • Identifying the 20% to focus on means chunking features into small yet valuable stories that are delivered incrementally at the end of each sprint.

    确定20%重点关注的功能,要把功能分割成小而有价值的故事,在每个sprint结束时逐步交付。

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  • Working memory capacity can be expanded through chunking;

    利用组块可以增加工作记忆的容量;

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  • In this paper, we treat Chinese text chunking as a classification problem, and apply SVM to solve it.

    本文将中文组块识别问题看成分类问题,并利用SVM加以解决。

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  • The application and significance of chunking approach in writing of business English letter is discussed.

    探讨了词块教学法在商务英语信函写作中的应用及其意义。

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  • Their solution was to break up this first step by chunking it down into eight smaller, more actionable micro-milestones.

    他们的解决方法是把第一步分块成八个更小的,更易于行动的”微关键步骤“。

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  • Now it was spread to the field of Compuational Linguistics, using the "divide-and-conquer" strategy to conduct chunking.

    它又被推广到计算语言学领域中,用“分而治之”的策略来解决问题,对自然语言进行组块计算。

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  • Prosodic prediction, which is a process of prosodic chunking, is one of the major factors for the naturalness of speech synthesis.

    韵律是影响语音合成自然度的一个重要因素,韵律结构的预测是一个韵律组块过程。

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  • Based on the semantic chunking result, the Chinese SRL can be changed into a sequence labeling problem instead of the classification problem.

    这一方法将汉语语义角色标注从一个节点的分类问题转化为序列标注问题,我们使用了条件随机域这一模型,取得了较好的结果。

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  • The most common layout option-short of just chunking everything into a directory together-is organizing all your files by type, off the root directory of your site.

    最常用的布局选项(除了仅仅将一切统统塞进一个目录之外)是从站点的根目录开始,按类型组织所有文件。

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  • Finally, we faced the predicament that, after chunking the information down into individual types, the role of the content within the overall learning context can get lost.

    最后,我们面临着这样的困境,将信息分解成单个类型之后,可能会丢失内容在整个学习上下文中的角色。

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  • To chunk up, you are doing the opposite of chunking down - looking for a more generalized understanding. This includes looking for overall purpose, meaning, linkages, etc.

    把问题向上定位就是做与向下定位相反的事情——你要需获得更广义的理解。包括总体的目标,它的意义,与其他项目的联系等等。

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  • The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the full parsing.

    文本组块分析作为句法分析的预处理阶段,通过将文本划分成一组互不重叠的片断,来达到降低句法分析的难度。

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  • Obviously, the chunking of output into appropriate sizes is a matter of negotiation between the application and the encoding module, as only the application knows the most appropriate place to break.

    因为只有应用程序知道最适合进行分割的位置,所以显然需要在应用程序和编码模块之间进行协商,才能将输出分割成适当的大小。

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  • Perhaps Chunking is the oldest method used in memorization.

    “分组法”大概是最古老的记忆方法了。

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  • Perhaps Chunking is the oldest method used in memorization.

    其实我们有意无意的都在使用这种方法。

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  • After splitting messages, you use the message Chunking Aggregator to aggregate the message parts back together again.

    消息分解之后,可以使用MessageChunking Aggregator重新将消息块聚合在一起。

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  • Chunking down is getting more detail by probing for more information about the high-level information you already have.

    向下定位,就是在了解全局观的基础上,通过提问去获取更多信息,以获取更细节的东西。

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  • The Message Chunking Router splits a single message into a number of fixed-length messages that will all be routed to the same endpoint.

    MessageChunkingRouter将消息按固定长度分解成多个部分,并将它们路由到同一个端点。

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  • The Message Chunking Router splits a single message into a number of fixed-length messages that will all be routed to the same endpoint.

    MessageChunkingRouter将消息按固定长度分解成多个部分,并将它们路由到同一个端点。

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