Logical and Stochastic Approaches to Mismatch Resolution in Machine Translation

当前机器翻译（MT）的一个主要瓶颈是在源语言和目标语言之间不存在精确翻译时识别适当的近似。 机器翻译系统必须通过从上下文中加入隐含信息或在源文本中省略一些信息来解决不匹配问题。 实现了一个原型MT系统，将通常的MT步骤，分析（分析英语源到面向英语的语义表示），转移（转移到面向日语的语义面向英语的语义），和生成（建设日本的目标从转移的语义），并添加一个新的不匹配解决模块（MRM）时，生成失败。 在这种架构中，分析和生成模块都是纯单语的，并且传输是简单的，结合了最少的上下文信息，并且大部分的失配解决和消歧是在生成-MRM循环中完成的，其中MRM为生成所遇到的问题提供解决方案。两种MRM的探索，逻辑和统计，与一个单一的MRM结合这两种方法的优点的设计目标。 翻译是由单语英语使用者应用DARPA MT计划的评估措施进行评估。 重点是对MUC-5语料库中的日语合资企业商务文章进行英译。 这个项目用一个新的架构、逻辑和统计技术以及在线文本资源来解决关键的不匹配解决问题。

A major bottleneck in present-day machine translation (MT) is identifying appropriate approximations when no exact translation exists between the source and target languages. An MT system must resolve mismatches either by incorporating implicit information from context or leaving out some information in the source text. A prototype MT system is implemented, incorporating the usual MT steps, analysis (analyzing English sources into an English-oriented semantic representation), transfer (transferring the English-oriented semantics into a Japanese-oriented semantics), and generation (building Japanese targets from the transferred semantics), and adding a novel Mismatch Resolution Module (MRM) called when generation fails. In this architecture, both analysis and generation modules are purely monolingual, and transfer is simplistic, incorporating minimal context information, and the bulk of mismatch resolution and disambiguation is done in the generation-MRM loop, where the MRM offers solutions to the problems encountered by generation. Two kinds of MRMs are explored, logical and statistical, with the design goal of a single MRM combining the advantages of both approaches. Translations are evaluated by monolingual English speakers applying evaluation measures modeled on those of the DARPA MT program. The focus is on translating the Japanese joint venture business articles in the MUC-5 corpus into English. This project attacks the crucial mismatch resolution problem with a novel architecture, logical and statistical techniques, and on-line text resources.