人工智能-自然语言处理-多语言分词

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多语言分词

将连续的自然语言文本，切分成具有语义合理性和完整性的词汇序列，同时保持对数据、模型的不断迭代更新，目前支持简体中文、英文、泰文及越南语。
如有私有化部署（本地部署软件）需求，及商务问题，请联系：nlp-support@list.alibaba-inc.com

免费使用技术文档

产品优势
适用场景
更多产品与服务
文档与资源

产品优势

多粒度支持

包含基本语义粒度，更小的检索粒度以及扩展检索粒度

海量数据沉淀

基于阿里核心业务沉淀，在通用、电商、文娱领域都处于领先水平

多语言支持

除中文外，还支持英文小粒度分词、泰语分词

使用灵活

通过多年的语料及算法研发积累，可在短时间内分析海量文本，帮助客户更好更精确的挖掘出文本价值

适用场景

文本搜索

结合词性标注，能帮助各类APP应用、网站社区等对文本内容搜索有需求的用户，快速搭建搜索模块，提升搜索准确性

指令解析

结合词性标注，使机器更好的理解指令内容，快速完成指定任务，可用于语音助手、智能硬件等场景

自动问答

结合命名实体能根据问题中的分词和实体识别结果，理解发问意图，快速搭建问答场景应用

文本搜索

结合词性标注，能帮助各类APP应用、网站社区等对文本内容搜索有需求的用户，快速搭建搜索模块，提升搜索准确性

指令解析

结合词性标注，使机器更好的理解指令内容，快速完成指定任务，可用于语音助手、智能硬件等场景

自动问答

结合命名实体能根据问题中的分词和实体识别结果，理解发问意图，快速搭建问答场景应用

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更多产品与服务

NLP自学习平台

支持文本实体抽取、文本分类等NLP定制化算法能力，用户无需拥有丰富的算法背景，仅需标注或上传适量文档数据，即可通过平台快速创建算法模型并使用。

了解更多

商品评价解析

基于电商行业的大量语料研发，对消费者历史评价和新增评价的商品维度属性自动解析，将文本转化为结构化属性字段，高效甄别正负面评价，同时根据情感强烈程度进行-1分~1分的打分，可统计可分析，大幅度节省客服人工。

了解更多

情感分析

又称倾向性分析，或意见挖掘，它是对带有情感色彩的主观性文本进行分析、处理、归纳和推理的过程。利用情感分析能力，可以针对带有主观描述的自然语言文本，自动判断该文本的情感正负倾向并给出相应的结果。

了解更多

命名实体

命名实体服务可以帮助您快速识别文本中的实体，进而挖掘各实体间的关系，目前主要针对电商领域，识别品牌、产品、型号等，同时也包括一些通用领域实体如人名、地名、机构名、时间日期等。