情感标注平行语料库的制备及其对机器翻译的影响
Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation
摘要：
在目前的工作中，我们探讨了丰富的机器翻译输出时，训练并行语料库增加了情感分析。本文讨论了带有相同情感标签的英语-孟加拉语平行语料库的制作。本文对平行语料库的准备、句子的情感分析以及使用它们训练基于字符的神经机器翻译模型进行了广泛的讨论。翻译模型的输出与使用BLEU和TER等自动化指标以及手动的基线翻译模型进行了比较。
英文摘要：
In the current work, we explore the enrichment in the machine translation output when the training parallel corpus is augmented with the introduction of sentiment analysis. The paper discusses the preparation of the same sentiment tagged English-Bengali parallel corpus. The preparation of raw parallel corpus, sentiment analysis of the sentences and the training of a Character Based Neural Machine Translation model using the same has been discussed extensively in this paper. The output of the translation model has been compared with a base-line translation model using automated metrics such as BLEU and TER as well as manually.
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。
