Conceptual Basis of the Lexicon in Machine Translation by Dorr, Bonnie J.

“…This report describes the organization and content of lexical information required for the task of machine translation. In particular, the lexical-conceptual basis for UNITRAN, an implemented machine translation system, will be described. …”
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UNITRAN: An Interlingual Machine Translation System by Dorr, Bonnie Jean

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Principle-Based Parsing for Machine Translation by Dorr, Bonnie J.

“…Many syntactic parsing strategies for machine translation systems are based entirely on context-free grammars. …”
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Neural machine translation for discourse phenomena by Shen, Youlin

“…In recent years, Neural Machine Translation (NMT) has received increasing interest in the natural language processing field (NLP) and has achieved the state-of-the-art on numerous tasks. …”
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Neural machine translation with limited resources by Mohiuddin, Tasnim

“…With the advent of deep neural networks in recent years, Neural Machine Translation (NMT) systems have achieved state-of-the-art performance on standard translation benchmarks. …”
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Fairness testing of machine translation systems by Sun,Zeyu, Chen, Zhenpeng, Zhang, Jie, Hao, Dan

“…Machine translation is integral to international communication and extensively employed in diverse human-related applications. …”
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Machine translation of software-specific documentations by Tee, Li Yin

“…Machine translation is automated translation which is a process to translate language from one to another with computer software. …”
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Discourse structure in machine translation evaluation by Joty, Shafiq, Guzmán, Francisco, Màrquez, Lluís, Nakov, Preslav

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Open source machine translation with DELPH-IN by Bond, Francis, Oepen, Stephan, Siegel, Melanie, Copestake, Ann, Flickinger, Dan

“…The Deep Linguistic Processing with HPSG Initiative (DELPH-IN) provides the infrastructure needed to produce open-source semantic transfer-based machine translation systems. We have made available a prototype Japanese-English machine translation system built from existing resources include parser, generators, bidirectional grammars and a transfer engine.…”
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Toward a science of machine translation by Bond, Francis.

“…The fact that machine translation output does not reach the level of good human translations is well known. …”
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Some Problems in German in English Machine Translation by Brown, Gretchen P.

“…This paper discusses some problems in the machine translation of natural language, in particular, for translation from German into English. …”
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Non-Projective Parsing for Statistical Machine Translation by Carreras Perez, Xavier, Collins, Michael

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Lexical Conceptual Structure and Generation in Machine Translation by Dorr, Bonnie J.

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Using linguistic knowledge in statistical machine translation by Zbib, Rabih M. (Rabih Mohamed), 1974-

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CLAIRE makes machine translation BLEU no more by Mohammad, Ali (Ali H.)

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Neural machine translation in grammar error correction by Pham, Vu Tuan

“…This project studies the use of neural machine translation (NMT) for the GEC problem. This project reproduces two existing models using NMT: word-based machine translation and character-based machine translation. …”
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Encoder-decoder based neural machine translation by Luo, Wenhao

“…The statistic machine translation can previously satisfy the minimum requirement of translation, but it requires many improvements. …”
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Combining resources for open source machine translation by Matsumoto, Yuji., Nichols, Eric., Bond, Francis., Scott Appling, Darren.

“…In this paper, we present a Japanese - English machine translation system that combines rule-based and statistical translation. …”
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Machine translated letters of credit of real-life trade exchange from English to Chinese: a qualitative approach to the evaluation of machine translation by Zhu, Xiaowei

“…This study attempts to examine the performance of neural network machine translation (NMT) and to identify which aspects it should be improved. …”
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A tree-to-tree model for statistical machine translation by Cowan, Brooke A. (Brooke Alissa), 1972-

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