SBIR Phase II: NUMBERS: Bringing Statistical Machine Translation into the Real World

SBIR 第二阶段：数字：将统计机器翻译带入现实世界

• 批准号: 0239290
• 负责人: William Wong
• 金额: $ 50万
• 依托单位: WEAVER LANGUAGE INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-02-15 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0239290&HistoricalAwards=false
• 关键词: SBIR; Phase; II; NUMBERS; Bringing

The goal of this Small Business Innovation Research (SBIR) Phase II project is to bring radically new technology to the machine translation marketplace. While current systems are rule-based and difficult to extend, this company employs a statistical system that learns to translate by automatically analyzing large collections of previously translated material. This technology already outperforms rule-based systems, and it easily adapts to specific domains of interest, such as technical documentation generated by multinational corporations. The company has licensed (and co-developed) key software engines from the founders' research team at USC/ISI, a world leader in machine translation. In this project, they will extend their statistical engine in three ways, driven by customer needs -- they propose to build (1) a parallel, cluster-based training system for handling large text volumes (2) new capabilities for translating numbers, dates, personal names, locations, etc. ("named entities"), and (3) rapid customization tools that will assist with customized translation engines for specific customer domain requirements.There has been substantial client/funding interest from intelligence agencies, corporate users, and angel and venture investment groups. Over the next year, the plan is to capitalize on this interest by developing several clients and shipping the first products.

这个小企业创新研究（SBIR）第二阶段项目的目标是为机器翻译市场带来全新的技术。虽然目前的系统是基于规则的，难以扩展，但该公司采用了一个统计系统，该系统通过自动分析大量以前翻译过的材料来学习翻译。这种技术的性能已经超过了基于规则的系统，而且它很容易适应特定的领域，比如跨国公司生成的技术文档。该公司从USC/ISI的创始人研究团队获得了关键软件引擎的授权（并与之合作开发），该团队是机器翻译领域的全球领导者。在这个项目中，他们将以三种方式扩展他们的统计引擎，由客户需求驱动——他们建议构建(1)一个并行的、基于集群的培训系统，用于处理大量文本；(2)翻译数字、日期、个人姓名、位置等（“命名实体”）的新功能；(3)快速定制工具，用于协助针对特定客户领域需求定制的翻译引擎。来自情报机构、企业用户、天使和风险投资集团的大量客户/资金兴趣。在接下来的一年里，该公司计划通过开发几个客户并推出首批产品来利用这种兴趣。