使用Moses的孟加拉语到阿萨姆语统计机器翻译（基于语料库）
Bengali to Assamese Statistical Machine Translation using Moses (Corpus Based)
摘要：
在自然语言处理中，机器方言解释在促进人-机对应和人-人对应方面发挥着重要作用。机器翻译（MT）指的是利用机器将一种方言转换成另一种方言。统计机器翻译是一种由语言模型、翻译模型和解码器组成的机器翻译。本文利用Moses语言建立了孟加拉语到阿萨姆语的统计机器翻译模型。其他翻译工具，如用于语言模型的IRSTLM和用于翻译模型的GIZA-PP-V1.0.7，都在这个框架中使用，在Linux环境中可以访问。LM的目的是鼓励流畅的输出，TM的目的是鼓励输入和输出之间的相似性，解码器增加了目标语言的翻译文本的概率。在孟加拉语和阿萨姆语的17100句平行语料库已被用于在此框架内准备。可测量的MT程序到目前为止还没有普遍调查印度方言。这可能是有趣的发现在多大程度上这些模型可以帮助巨大的持续MT审议在国家。
英文摘要：
Machine dialect interpretation assumes a real part in encouraging man-machine correspondence and in addition men-men correspondence in Natural Language Processing (NLP). Machine Translation (MT) alludes to utilizing machine to change one dialect to an alternate. Statistical Machine Translation is a type of MT consisting of Language Model (LM), Translation Model (TM) and decoder. In this paper, Bengali to Assamese Statistical Machine Translation Model has been created by utilizing Moses. Other translation tools like IRSTLM for Language Model and GIZA-PP-V1.0.7 for Translation model are utilized within this framework which is accessible in Linux situations. The purpose of the LM is to encourage fluent output and the purpose of TM is to encourage similarity between input and output, the decoder increases the probability of translated text in target language. A parallel corpus of 17100 sentences in Bengali and Assamese has been utilized for preparing within this framework. Measurable MT procedures have not so far been generally investigated for Indian dialects. It might be intriguing to discover to what degree these models can help the immense continuous MT deliberations in the nation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
