新华字典api 根据id查询汉字完整信息
查字典的方法有哪三种
查字典的方法有哪三种
查字典的方法有很多种，可以分为实体字典、电子字典和在线字典三种主要方法。
实体字典是传统的纸质字典，通常是一本书，包含了大量的词汇和词语解释。
使用实体字典的方法如下：
1. 确定需要查询的字词。
2. 找到字典中对应的字母页或者索引。
3. 在字典页中找到目标字词，并阅读其解释、例句等信息。
电子字典是数字化的字典，可以下载到个人电脑或移动设备上使用。
使用电子字典的方法如下：
1. 打开电子字典应用程序或者网站。
2. 在搜索栏中输入需要查询的字词。
3. 点击搜索按钮。
4. 界面会显示出字词的解释、例句、发音等详细信息。
在线字典是指通过互联网上的在线平台查询字词的方法，如在线词典网站或者在线翻译工具。
使用在线字典的方法如下：
1. 打开浏览器，进入在线字典网站或在线翻译工具。
2. 在搜索框中输入需要查询的字词。
3. 点击搜索按钮。
4. 界面会显示出字词的解释、例句、发音等详细信息。
除了这三种主要的查字典方法外，还有其他辅助的方法，例如利用手机的词典应用、使用语音识别技术进行查询等。
总之，根据个人的偏好和需求，可以选择适合自己的查字典方法。
新华字典查字法
新华字典查字法新华字典里面查字常用的三种方法是：部首查字法、音序查字法和数笔画查字法。
如果很容易确定部首，但不确定读音就可以用部首查字法；如果知道读音，但不会写这个字，就用音序查字法；如果是独体字就用数笔画查字法。
1、音序查字法音序检字法就是按字音查字词的一种方法。
新华字典就是按汉语拼音字母的顺序选曲的。
根据一个字的汉语拼音第一个字母，就可以在“汉语拼音音节表中”中找出这个字的拼音音节在正文中的页码，再按照这个字的声调至那一页中去找。
这个方法适用于要查只知道读音而不知道写法或意义的字，都可以用这种方法，但必须熟悉汉语拼音字母顺序和汉语拼音音节。
运用音序查字法要具备三个条件，字音要读得正确；准确无误地了解这个字的声母、韵母；掌握字母的写法。
2、部首查字法部首检字法属于按形查字中的一种方法，它是根据汉字的部首去查检的，凡字典正文中的单字是按部首归类进行排列的，都可以运用部首检字。
这个方法适用于于在写作中碰到不重新认识的字，可以用部首检字法揭发读音和字义。
运用部首查字法，必须具有三个条件，会数笔画数；可以打听部首；可以笔顺。
3、数笔检字法数笔画检字法也叫做笔画文字描述检字法，凡是密读音不晓得、部首又不显著的字，宜用这种方法。
只要数准字的笔画，就可以在字典的“容易查字笔画索引”中搜到这个字在正文中的页码。
这种检字的方法是以一个字笔画数的多少和前两笔的笔形来查字的。
数笔画检字的方法比较简单，只要能正确书写一个字，字的笔画数和前两笔的笔形都不出错，就能找到要查的字。
在《新华字典》中，用这种方法可以在《难检字表》中查难检字。
常见字典用法集锦及代码详解(全)_蓝桥玄霜.
常见字典用法集锦及代码详解蓝桥玄霜常见字典用法集锦及代码详解2 前言凡是上过学校的人都使用过字典，从新华字典、成语词典，到英汉字典以及各种各样数不胜数的专业字典，字典是上学必备的、经常查阅的工具书。
有了它们，我们可以很方便的通过查找某个关键字，进而查到这个关键字的种种解释，非常快捷实用。
凡是上过EH 论坛的想学习VBA 里面字典用法的，几乎都看过研究过northwolves 狼版主、oobird 版主的有关字典的精华贴和经典代码。
我也是从这里接触到和学习到字典的，在此，对他们表示深深的谢意，同时也对很多把字典用得出神入化的高手们致敬，从他们那里我们也学到了很多，也得到了提高。
字典对象只有4个属性和6个方法，相对其它的对象要简洁得多，而且容易理解使用方便，功能强大，运行速度非常快，效率极高。
深受大家的喜爱。
本文希望通过对一些字典应用的典型实例的代码的详细解释来给初次接触字典和想要进一步了解字典用法的朋友提供一点备查的参考资料，希望大家能喜欢。
给代码注释估计是大家都怕做的，因为往往是出力不讨好的，稍不留神或者自己确实理解得不对，还会贻误他人。
所以下面的这些注释如果有不对或者不妥当的地方，请大家跟帖时指正批评，及时改正。
字典的简介字典（Dictionary ）对象是微软Windows 脚本语言中的一个很有用的对象。
附带提一下，有名的正则表达式（RegExp ）对象和能方便处理驱动器、文件夹和文件的（FileSystemObject ）对象也是微软Windows 脚本语言中的一份子。
字典对象相当于一种联合数组，它是由具有唯一性的关键字（Key ）和它的项（Item ）联合组成。
就好像一本字典书一样，是由很多生字和对它们对应的注解所组成。
比如字典的“典”字的解释是这样的：“典”字就是具有唯一性的关键字，后面的解释就是它的项，和“典”字联合组成一对数据。
常用关键字英汉对照：Dictionary 字典Key 关键字Item 项，或者译为 条目字典对象的方法有6个：Add 方法、Keys 方法、Items 方法、Exists 方法、Remove 方法、RemoveAll 方法。
python 实现中文文本检索方法
（实用版3篇）编制人员:_______________审核人员:_______________审批人员:_______________编制单位:_______________编制时间:_______________序言小编为大家精心编写了3篇《python 实现中文文本检索方法》，供大家借鉴与参考。
下载文档后，可根据您的实际需要进行调整和使用，希望能够帮助到大家，谢射!（3篇）《python 实现中文文本检索方法》篇1要实现中文文本检索方法，可以使用 Python 中的各种自然语言处理 (NLP) 库。
以下是一些常用的方法:1. 使用 Python 中的 jieba 库进行分词jieba 是一个常用的中文分词库，可以使用 Python 中的 pip 安装。
使用jieba 库，可以对中文文本进行分词，并将其转换为词典形式，以便进行检索。
例如，下面的代码演示了如何使用 jieba 库对中文文本进行分词:```import jiebatext = "我爱人工智能助手"seg_list = jieba.cut(text)print(seg_list)```输出结果为:```我爱人工智能助手```2. 使用 Python 中的 docplex 库进行全文检索docplex 是一个用于全文检索的 Python 库，它支持多种文本格式，包括PDF、Word 文档、HTML 等。
使用 docplex 库，可以对文本进行全文检索，并返回匹配的文本行。
例如，下面的代码演示了如何使用 docplex 库对 PDF 文件进行全文检索:```import docplex# 打开 PDF 文件pdf = docplex.PDF("example.pdf")# 进行全文检索query = "人工智能"results = pdf.search(query)# 打印匹配的文本行for r in results:print(r.text)```输出结果为:```人工智能人工智能技术人工智能的发展```3. 使用 Python 中的 Whoosh 库进行文本检索Whoosh 是一个用于文本检索的 Python 库，它支持多种索引格式，包括Elasticsearch、Solr、Whoosh 等。
百度翻译API词典资源-接入字段说明.pdf说明书
如需直观了解情况，您可前往https:///验证，两者的数据源是同源的。
词典json字符串可在https:///中可视化查看节点，需做utf-8转义。
中中释义/英英释义/简明释义可以理解为三本独立的词典，开发者在使用时，选择其中一个即可。
一、词典数据字段节点英文json结构层级：中文json结构层级：二、示例1、英文：以apple为例2、英文：以take为例3、中文：以专心致志为例4、中文：以中国为例三、接入指南四、常见问题dict字段下：lang：0:中文；1:英文exchange：不同时态：word_third：第三人称单数word_ing：进行时态word_done：完成时态word_pl：复数形式word_past：过去时态tags:词汇标签core：核心词；如高考、考研other：其他标签symbols:音标ph_en：英式音标ph_am：美式音标parts：词性组part：词性，有几种词性就有几个partmeans：词义ph_other：其他音标，一般为空general_knowledge：单词集锦similar_words：同类词en:英文释义；zh:中文释义word_name：词语queryword_lang：词语语言word_type：词语类型，如水果dict字段下：lang：0:中文；1:英文parts：词组part_name(一般为空)text：词组内容part：词性word_mean：英文释义means：中文含义word_name:原文queryfrom：来源word_means：含义general_knowledge：单词集锦similar_words：同类词en:英文释义；zh:中文释义word_name：词语queryword_lang：词语语言word_type：词语类型，如水果synthesize_means汉英大词典，因并非所有词汇都有结果，因此省略，后续可能将“汉英大词典”结果关闭，{"lang":"1","word_result":{"edict":{"item":[{"tr_group":[{"tr":["fruit with red or yellow or green skin and sweet to tart crisp whitish flesh"],"example":[]," similar_word":[]},{"tr":["native Eurasian tree widely cultivated in many varieties for its firm rounded edible 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turn","he adopted an air of superiority","She assumedstrangemanners","Thegods assume human or animal form in these fables"],"similar_word":["assume","acquire","adopt","take on"]},{"tr":["be seized or affected in a specified way"],"example":["take sick","be taken drunk"],"similar_word":[]},{"tr":["be a student of a certain subject"],"example":["She is reading for the bar exam"],"similar_word":["learn","study","read"]},{"tr":["interpret something in a certain way","convey a particular meaning or impression"],"example":["I read this address as a satire","How should I take this message?","You can't take credit for this!"],"similar_word":["read"]},{"tr":["accept or undergo,often unwillingly"],"example":["We took a pay cut"],"similar_word":["submit"]},{"tr":["pick out,select,or choose from a number of alternatives"],"example":["Take anyoneofthesecards","Choosea good husband for your daughter","She selected a pair of shoes from among the dozen the salesgirl had shown her"],"similar_word":["choose","select","pick out"]},{"tr":["take into consideration for exemplifying purposes"],"example":["Take the case of China","Consider the following case"],"similar_word":["consider","deal","look at"]},{"tr":["take as an undesirable consequence of some event or state of affairs"],"example":["the accident claimed three lives","The hard work took its toll on her"],"similar_word":["claim","exact"]},{"tr":["lay claim to","as of an idea"],"example":["She took credit for the whole idea"],"similar_word":["claim"]},{"tr":["make a film or photograph of something"],"example":["take a scene","shoot a movie"],"similar_word": ["film","shoot"]},{"tr":["obtain by winning"],"example":["Winner takes all","He took first prize"],"similar_word":[]},{"tr":["point or cause to go(blows,weapons, orobjectssuch asphotographic equipment)towards"],"example":["Please don't aim at your little brother!","He trained his gun on the burglar","Don't train your camera on the women","Take a swipe at one's opponent"],"similar_word":["aim","train","take aim","direct"]},{"tr":["serve oneself to,or consume regularly"]," example":["Have another bowl of chicken soup!","I don't take sugar in my coffee"],"similar_word":["consume","ingest","take in","have"]},{"tr":["get into one's hands,take physically"],"example":["Take a cookie!","Can you take this bag,please"],"similar_word":["get hold of"]},{"tr":["have sex with","archaic use"]," example":["He had taken this woman when she was most vulnerable"],"similar_word":["have"]},{"tr":["travel or go by means of a certain kind of transportation, or a certain route"],"example":["He takes the bus to work","She takes Route1to Newark"],"similar_word":[]},{"tr":["proceed along in a vehicle"],"example": ["We drive the turnpike to work"],"similar_word":["drive"]},{"tr":["occupy or take on"],"example":["He assumes the lotus position","She took her seat on the stage","We took our seats in the orchestra","She took up her position behind the tree","strike a pose"],"similar_word":["assume","strike","take up"]},{"tr":["take somebody somewhere"],"example":["We lead him to our chief","can you take me to the main entrance?","He conducted us to the palace"],"similar_word": ["lead","direct","conduct","guide"]},{"tr":["head into a specified direction"],"example":["The escaped convict took to the hills","We made for the mountains"]," similar_word":["make"]},{"tr":["take something or somebody with oneself somewhere"],"example":["Bring me the box from the other room","Take these letters to the boss","This brings me to the main point"],"similar_word":["bring","convey"]},{"tr":["experience or feel or submit to"],"example":["Take a test","Take the plunge"],"similar_word":[]},{"tr":["to get into a position of having,e.g.,safety,comfort"],"example":["take shelter from the storm"],"similar_word":[]},{"tr":["take into one's possession"],"example":["We are taking an orphan from Romania","I'll take three salmon steaks"],"similar_word":[]},{"tr":["take by force"],"example": ["Hitler took the Baltic Republics","The army took the fort on the hill"],"similar_word":[]},{"tr":["buy,select"],"example":["I'll take a pound of that sausage"]," similar_word":[]},{"tr":["engage for service under a term of contract"],"example":["We took an apartment on a quiet street","Let's rent a car","Shall we take a guide in Rome?"],"similar_word":["lease","rent","hire","charter","engage"]},{"tr":["receive or obtain regularly"],"example":["We take the Times every day"],"similar_word":["subscribe","subscribe to"]},{"tr":["make use of or accept for some purpose"],"example":["take a risk","take an opportunity"],"similar_word": ["accept"]},{"tr":["receive willingly something given or offered"],"example":["The only girl who would have him was the miller's daughter","I won't have this dog in my house!","Please accept my present"],"similar_word":["accept","have"]},{"tr":["admit into a group or community"],"example":["accept students for graduate study","We'll have to vote on whether or not to admit a new member"],"similar_word":["accept","admit","take on"]},{"tr":["require(time or space)"]," example":["It took three hours to get to work this morning","This event occupied a very short time"],"similar_word":["occupy","use up"]},{"tr":["assume,as of positionsorroles"],"example":["She took the job as director of development","he occupies the position of manager","the young prince will soon occupy the throne"],"similar_word":["fill","occupy"]},{"tr":["develop a habit"],"example":["He took to visiting bars"],"similar_word":[]},{"tr":["carry out"],"example":["take action","take steps","take vengeance"],"similar_word":[]},{"tr":["require as useful,just,or proper"],"example":["It takes nerve to do what she did","success usually requires hard work","This job asks a lot of patience and skill","This position demands a lot of personal sacrifice","This dinner calls for a spectacular dessert","This intervention does not postulate a patient's consent"],"similar_word":["necessitate","ask","postulate","need","require","involve","call for","demand"]},{"tr":["be capable of holding or containing"],"example":["This box won't take all the items","The flask holds one gallon"],"similar_word":["contain","hold"]},{"tr":["have withoneself","haveon one's person"],"example":["She always takes an umbrella","I always carry money","She packs a gun when she goes into the mountains"]," similar_word":["carry","pack"]},{"tr":["be designed to hold or take"],"example":["This surface will not take the dye"],"similar_word":["accept"]}],"pos":"verb"}]," word":"take"},"zdict":"","simple_means":{"word_name":"take","from":"original","word_means":["携带","拿走","取走","运走","带去","引领","使达到，把…推向，把…带到","场景，镜头","收入额","进项","看法","意见"],"exchange":{"word_third":["takes"],"word_ing":["taking"],"word_done":["taken"],"word_past": ["took"]},"tags":{"core":["高考","考研"],"other":[""]},"symbols":[{"ph_en":"tek","ph_am":"tek","parts":[{"part":"v.","means":["携带","拿走","取走","运走","带去","引领","使达到，把…推向，把…带到(另一个层次、层面等)"]},{"part":"n.","means":["(不停机一次连续拍摄的)场景，镜头","收入额","进项","看法","意见"]}],"ph_other":""}]}}}{"lang":"0","word_result":{"edict":"","zdict":{"simple":null,"word":"专心致志","detail":{"chenyu":{"from":"《孟子·告子上》：“夫今弈之为数，小数也，不专心致志，则不得也。
全字匹配 参数
全字匹配参数
全字匹配通常是指在搜索或匹配时，要求字符串完全一致，包括所有的字符和顺序。
这在很多场合下是非常有用的，比如在数据库查询、数据清洗、自然语言处理等领域。
在参数设置中，全字匹配通常可以通过一些参数来实现。
具体参数可能会根据不同的编程语言、库或工具而有所不同。
以下是一些常见的参数：
1. 大小写敏感：这个参数决定了匹配时是否区分大小写。
如果设置为大小写敏感，那么"apple"和"Apple"将被视为不同的字符串。
2. 正则表达式模式：在一些情况下，你可能需要使用正则表达式来进行更复杂的匹配。
这个参数可以让你选择是否使用正则表达式模式。
3. 特殊字符处理：某些字符在字符串中有特殊含义，比如在正则表达式中，反斜杠（\）就是一个特殊字符。
这个参数可以让你选择是否对这些特殊字符进行转义或忽略。
4. 模糊匹配：与全字匹配相对，模糊匹配是允许部分字符匹配的。
这个参数可以让你选择是否使用模糊匹配。
5. 精确匹配：与模糊匹配相反，精确匹配要求完全一致。
这个参数可以让你选择是否使用精确匹配。
这些参数通常会以布尔值（true/false）或者枚举类型（比如使用enum或switch语句）来设置。
具体使用哪个参数，取决于你的具体需求和所使用的工具或库的规定。
python实现中文文本检索方法
python实现中文文本检索方法要实现中文文本检索方法，可以使用一些常见的技术和算法。
下面是一个简单的实现过程，包括数据预处理、建立索引和进行查询。
1.数据预处理：- 分词：使用中文分词库（如jieba）对文本进行分词，将文本拆分成若干个词语。
-去除停用词：使用停用词表对分词结果进行处理，去除一些常见但无实际意义的词语。
-词干化和词形还原：对于一些变形形态的词语，进行归一化处理，将其转换成标准形式。
2.建立倒排索引：-倒排索引是一种常见的索引结构，可以用于高效地检索文本。
-遍历每个分词后的词语，记录每个词语在哪些文档中出现过。
-对于每个词语，建立一个倒排列表，记录出现过该词语的文档编号或其他标识。
3.查询：-对查询文本进行数据预处理，分词、去除停用词和词干化等处理。
-遍历查询词语，通过倒排索引查找出包含其中一个或多个查询词语的文档。
-根据检索结果进行排序和过滤，选出最相关的文档。
下面是一个简单的Python实现示例：```pythonimport jiebafrom collections import defaultdictclass ChineseSearchEngine:def __init__(self):self.documents = {} # 文档编号与内容的映射self.inverted_index = defaultdict(set) # 倒排索引，默认值为setdef add_document(self, doc_id, content):self.documents[doc_id] = contentwords = self.tokenize(content)for word in words:self.inverted_index[word].add(doc_id)def search(self, query):query_words = self.tokenize(query)result = setfor word in query_words:if word in self.inverted_index:result.update(self.inverted_index[word])return resultdef tokenize(self, text):return jieba.cut(text)#示例用法engine = ChineseSearchEngineengine.add_document(1, "我喜欢吃苹果。
eoLinker-API_Shop_新华字典_API接口_Python调用示例代码
eoLinker-API Shop 新华字典 Python调用示例代码新华字典包含汉字的发音、部首、结构、笔顺、五笔、英文、解释、内容、多音字等。
该产品拥有以下APIs：1.新华字典查询注意，该示例代码仅适用于网站下API使用该产品前，您需要通过https:///#/api/detail/?productID=98申请API服务1.新华字典查询#!/usr/bin/env python# -*- coding: utf-8 -*-# 测试环境: python2.7# 安装requests依赖 => pip install requests/ easy_install requests# 导入requests依赖import requestsimport jsonimport sysreload(sys)sys.setdefaultencoding('utf-8')def apishop_send_request(method, url, params=None, headers=None):'''转发请求到目的主机@param method str 请求方法@param url str 请求地址@param params dict 请求参数@param headers dict 请求头'''method = str.upper(method)if method == 'POST':return requests.post(url=url, data=params, headers=headers)elif method == 'GET':return requests.get(url=url, params=params, headers=headers)else:return Nonemethod = "POST"url = "https:///common/dictionary/queryChineseWord" headers = Noneparams = {"apiKey":"your_api_key", #需要从获取"word":"" #要查询的字,如“口”}result = apishop_send_request(method=method, url=url, params=params, he aders=headers)if result:body = result.textresponse = json.loads(body)status_code = response["statusCode"]if (status_code == '000000'):# 状态码为000000, 说明请求成功print('请求成功：%s' % (body,))else:# 状态码非000000, 说明请求失败print('请求失败: %s' % (body,))else:# 返回内容异常，发送请求失败print('发送请求失败')。
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"jùlǒng",
"〖gathertogether〗会聚合拢起来",
"聚齐",
"jùqí",
"〖calltogether〗〖在约定地点〗全体集合",
"参观的人八时在展览馆对面聚齐",
"聚散",
"jùsàn",
"〖meetingandparting〗会聚与分散",
"人生聚散无常",
"聚谈",
"jijie": [
"聚",
"jù",
"会合，集合：聚合。聚会。聚积。聚集。聚谈。聚拢。聚齐。聚餐。欢聚一堂。物以类聚。凝聚。聚沙成塔。",
"散",
"",
"笔画数：14；",
"部首：耳；",
"笔顺编号：12211154323334"
],
"xiangjie": [
"聚",
"jù",
"【名】",
"(形声。小篆,下面是三个人,表示人多;上面的“取”,作声符。本义:村落)",
"而发于众心之所聚。——《管子·君臣上》",
"聚室而谋日。——《列子·汤问》",
"以王命聚之。——唐·柳宗元《捕蛇者说》",
"鸣锣聚众。——《广东军务记》",
"聚至百有余乡。",
"又如:聚散浮生(指人生聚散无定。浮生:人活着的时候是虚浮无定的);聚麀之诮(比喻和不三不四的女人鬼混在一起,遭人耻笑。麀:母鹿,泛指母兽);聚寇(聚集起来的盗寇)",
"聚焦",
"jùjiāo",
"〖focus〗使光线或电子束等集中于一点",
"聚居",
"jùjū",
"〖inhabitaregion〗集中居住",
"少数民族聚居的地方",
"聚敛",
"jùliǎn",
"〖amasswealthbyheavytaxation〗课重税来搜刮(民财)",
"季氏富于周公,而求也为之聚敛而附益之。——《论语·先进》",
"又如:聚落(村落里邑,人群聚居的地方)",
"众;集团;一伙〖group〗",
"我是以有辅氏之聚。——《左传·成公十三年》",
"陈人恃其聚。——《左传·哀公十七年》",
"又如:聚观(群聚观看);聚口(犹齐声)",
"地名〖Jucity〗。在今山西省绛县东南",
"",
"聚",
"jù",
"【动】",
"会合;聚集〖assemble;flocktogether;gather;gettogether〗",
"〖polymerize〗∶化学结合〖小分子〗成为大分子,尤其非常大的分子;使受到聚合作用",
"聚会",
"jùhuì",
"〖gettogether〗聚集会合",
"几个老同学聚会",
"聚伙",
"jùhuǒ",
"〖gatheracrowd〗多人合成一伙",
"聚伙抢劫",
"聚积",
"jùjī",
"〖buildup〗∶聚蓄;积蓄",
"〖luncheon〗通常在公共食堂为集体而供应的一种比较正规的便餐(如遇到俱乐部的聚会或业务上的会议)",
"聚餐",
"jùcān",
"〖dinetogether〗聚在一起在公共食堂吃比较正规的便餐",
"聚赌",
"jùdǔ",
"〖operate〗多人聚集在一起赌博",
"聚光",
"jùguāng",
"〖condensation〗∶光的聚焦式准直",
"积蓄,累积〖accumulate〗",
"聚菽粟。——《墨子·尚贤中》",
"我今将畜积并聚之于仓廪。——《荀子·王制》",
"又如:聚沙成塔;聚米(堆积米粒做成模型以说明军事形势,运筹决策;米堆。形容矮小);聚货(聚集货物)",
"征集〖collect〗",
"太医以王命聚之。——柳宗元《捕蛇者说》",
"使民众聚居〖assemble;dwellingroups〗",
"同本义〖village〗",
"聚,会也。——《说文》。按,邑落曰聚,今曰邨,曰镇,北方曰集皆是。",
"一年而所居成聚。——《史记·五帝纪》",
"聚曰序。——《史记·平帝纪》",
"所止聚落化其德。——《后汉书·王扶传》。注:“小于乡曰聚。”",
"乡聚里中人哀而救之。——刘向《说苑》",
"禹无十户之聚,以王诸侯。——枚乘《上书谏吴王》",
"大叔完聚。(完;修好城墙。)——《左传》",
"",
"聚宝盆",
"jùbǎopén",
"〖treasurebowl〗民间传说中装有金银珠宝而且取之不尽的盆儿,比喻资源丰富的地方",
"聚变",
"jùbiàn",
"〖fusion〗某些轻元素结合时形成较重核并导致大量能量释放的原子核的结合",
"聚餐",
"jùcān",
"jùyì",
"〖gettogetheranddiscuss〗聚集在一起商议",
"聚议大事",
"聚义",
"jùyì",
"〖gettogetheranduprise〗旧指为正义事业而聚集在一起",
"聚义英雄",
"聚饮",
"jùyǐn",
"〖gettogetheranddrink〗聚集在一起喝酒取乐",
新华字典api数据调用代码JSON返回示例：
{
"reason": "返回成功",
"result": {
"id": "8de01fa0904b073b",
"zi": "聚",
"py": "ju",
"wubi": "bcti",
"pinyin": "jù",
"bushou": "耳",
"bihua": "14",
"聚众",
"jùzhòng",
"〖mob;gatheracrowd〗聚集群众;把许多人聚集在一起",
"聚众闹事"
]
},
"error_code": 0
}
新华字典
最大最全的新华汉语词典，新华字典api数据根据接口列表返回的汉字id，查询汉字完整信息。
接口名称：新华字典api数据
接口平台：聚合数据
接口地址：/xhzd/queryid
支持格式：json/xml
请求方式： get/post
请求示例：/xhzd/queryid?key=&word=8de01fa0904b073b
"〖spotlight〗∶对一个物体的小面积进行照明的强光束",
"聚光灯",
"jùguāngdēng",
"〖spotlight〗类似小探照灯的一种设备,有一个可调反光镜,通常装有白炽灯或弧光灯,用于在室内将一窄束强光射在一个选定的小区域内(如舞台或待照相的对象等)",
"聚合",
"jùhé",
"〖gettogether〗∶分散的聚集到一起",
"jùtán",
"〖gettogetherandtalkover〗聚在一起交谈",
"好久不得如此聚谈快意了!",
"聚头",
"jùtóu",
"〖gettogether;meet〗聚首;会面;人碰在一起",
"不是冤家不聚头",
"聚晤",
"jùwù",
"〖meet〗会晤",