This paper describes our submitted systems for CCMT-2020 shared translation tasks. We build our neural machine translation system based on Google’s Transformer architecture. We also employ some effective techniques such as back translation, data selecti
Machine translation (namely MT) has been one of the most popular fields in computational linguistics and Artificial Intelligence (AI). As one of the most p
Machine Translation (MT) is one of the most prominent tasks in Natural Language Processing (NLP) which involves the automatic conversion of texts from one natural language to another while preserving its meaning and fluency. Although the research in machine translation has been going on since multip...
To make use of the syntactic characteristic of Naxi language effectively, in this paper, a Chinese-Naxi machine translation method based on Naxi dependency language model is proposed. The method, firstly, makes dependency parsing on the Chinese sentence, and extracts Chinese-Naxi dependency tree-to...
Machine translation is one of the biggest applications of NLP. Learn about neural machine translation and its implementation in Python using keras.
Employing natural language processing (NLP) technique of machine translation can increase the usage of these I.T products. Therefore, this paper tries to bring together all possible methods that can be used to model a machine translation artifact in any language. The methodology will involve ...
3 Statistical Machine Translation 3.1 Scoring Phrase Pairs with RNN Encoder–Decoder 3.2 Related Approaches: Neural Networks in Machine Translation Abstract In this paper, we propose a novel neural network model called RNN Encoder– Decoder that consists of two recurrent neural networks (RNN). One RN...
BlackboxNLP 9:00 AM - 6:00 PM LT, West Ballroom 2 WORKSHOP Computational Approaches to Linguistic Code-Switching 9:00 AM - 12:30 PM LT, West Ballroom 3 Accepted Paper: Towards Real-World Streaming Speech Translation for Code-Switched Speech ...
Machine Translation (MT) is ongoing research from the last decades. Research started with a simple word to word replacement from source (e.g. English) to target language (e.g. Hindi). Then research moved to statistical-based machine tran... K Deep,A Kumar,V Goyal 被引量: 0发表: 2021...
Natural Language Processing (NLP) techniques like Machine Translation (MT) and Machine Transliteration (MTn), along with providing an analytical study of evaluation metrics such as BLEU (BiLingual Evaluation Understudy) score and discussing datasets available for MT and MTn systems in Indian languages....