论文标题
智能翻译内存匹配和与句子编码器的检索
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
论文作者
论文摘要
匹配和检索先前从翻译内存的翻译段是翻译记忆系统中的关键功能。但是，基于编辑距离，该匹配和检索过程仍然仅限于算法，我们将其确定为翻译记忆系统中的主要缺点。在本文中，我们介绍了句子编码器，以改善翻译记忆系统中的匹配和检索过程 - 一种有效而有效的解决方案，可以替换基于编辑距离的算法。
Matching and retrieving previously translated segments from a Translation Memory is the key functionality in Translation Memories systems. However this matching and retrieving process is still limited to algorithms based on edit distance which we have identified as a major drawback in Translation Memories systems. In this paper we introduce sentence encoders to improve the matching and retrieving process in Translation Memories systems - an effective and efficient solution to replace edit distance based algorithms.
