•
character level
常见释义：
字符级.
1、character ─── vt.印，刻；使具有特征；n.(Character)人名；(英)克拉克特；n.性格，品质；特性；角色；【计】字符
2、level ─── n.水平；标准；水平面；vt.使同等；对准；弄平；adj.水平的；平坦的；同高的；n.(Level)人名；(法)勒韦尔；vi.瞄准；拉平；变得平坦
3、character type ─── 【计】 字符类型；【计】字符类型；性格类型
4、character witness ─── n.在法庭中对涉讼的一方人格名誉作证的见证人，品德信誉见证人；品德信誉见证人；在法庭中对涉讼之一方人格名誉作证的见证人
5、fu character ─── 符字
6、liveliest character ─── 最活泼的性格
7、borachio character ─── 长条字符
8、depict character ─── 描绘人物
9、character actor ─── n.性格演员
1、Death Knights will be available to players who have a
character level
55 + on the same realm. There is no other requirement at this time. ─── 玩家需要有55以上等级的角色就可以在该服务器建立死亡骑士，目前没有其它要求。
2、It does not attempt to render character-level elements with CSS, but instead uses labeled and colored "underscores" for such elements. ─── 它不尝试用CSS产生字符级元素，而对这样的元素使用带有标签和有颜色的“下划线”。
3、Paragraphs are identified, then text ranges (character-level formatting), then other document components. ─── 首先识别段落，然后是文本范围（字符级格式），以及其他文档组件。
4、
character level
up screen now accounts for rewards granted by the mission. ─── 人物等级面板将显示任务的奖励经验数值。
5、If the level difference is relatively large (10 or more), a minimum amount (5%) of the experience is earned for monsters below your
Character level
. ─── 如果怪物的等级如果比你低的多(低10级或更多)，将只能得到5%的经验值。
6、References of several types are properly matched up, document sections are identified, character-level typographic markup is added. ─── 它正确地匹配了不同类型的引用、标识了文档节并添加了字符级别的排版标记。
7、In general, character-level elements are best kept inline, and block-level elements are best starting new (hierarchically indented) lines. ─── 总的说来，字符级元素最好放在一行当中，而块级元素最好从新行开始（从层次结构上缩排）。
8、And the PCDATA and _XML columns are places to hold the actual element contents (either with or without any embedded character-level markup). ─── PCDATA和_XML列存放的是实际的元素内容（有或没有任何嵌入式字符级标记）。
9、The default behavior is still to create an _XML attribute of a nested object only when it contains character-level markup. ─── 缺省行为仍然是只有在对象包含字符级标记时才创建嵌套对象的_XML属性。
Especially, the data level fusion and the
character level
fusion based on neural network are accomplished.