Add to ORKGWe construct Tibetan phrase syntactic Treebank according to modern Tibetan syntax and develop the Treebank editing tool for Tibetan-Chinese machines translation, propose a new simple but effective method for building Tibetan-Chinese machine Translation corpus and a novel Tibetan-Chinese Machine Tran...We construct Tibetan phrase syntactic Treebank according to modern Tibetan syntax and develop the Treebank editing tool for Tibetan-Chinese machines translation, propose a new simple but effective method for building Tibetan-Chinese machine Translation corpus and a novel Tibetan-Chinese Machine Tran...Advanced Science and Industry Research Center
Word segmentation, part-of-speech (POS) tagging, and syntactic parsing are three fundamental Chinese...
藏汉机器翻译技术跟汉英机器翻译技术有所不同，其中，很重要的一个方面，藏语更依赖于格助词等虚词在句子中的作用，格助词种类繁多，用法差异很大。本文针对藏语格助词进行分析，在藏语短语句法树库的基础上，加入了...
Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no...
Tibetan–Chinese machine translation is different from Chinese–English machine translation. The most ...
This paper proposes a Chinese to Tibetan machine translation system with multiple translating strate...
The first task in Tibetan Natural Language Processing is word segmentation. We present our lightweig...
本文针对现代藏语句法，并参照宾大中文树库的基础上，构建藏语短语句法树库，并建立了树库编辑工具,为藏汉机器翻译服务。在短语句法树库的基础上，提出一种融合藏语句法特征的藏汉机器翻译方法。通过实验分析，该方...
In order to improve the performance of Tibetan natural language processing applications such as mach...
There are some problems on traditional machine translation and these problems have affected its appl...
This paper presents an identification framework for extracting Tibetan base noun phrase (NP). The fr...
Syntactic analysis in Natural Language Processing (NLP) is one of the most important fields carried ...
This paper represents a departure from traditional Tibetan grammar in terms of the classification of...
Neural machine translation (NMT) is a data-driven machine translation approach that has proven its s...
Corpus serves as an indispensable ingredient for statistical NLP research and real-world application...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Word segmentation, part-of-speech (POS) tagging, and syntactic parsing are three fundamental Chinese...
藏汉机器翻译技术跟汉英机器翻译技术有所不同，其中，很重要的一个方面，藏语更依赖于格助词等虚词在句子中的作用，格助词种类繁多，用法差异很大。本文针对藏语格助词进行分析，在藏语短语句法树库的基础上，加入了...
Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no...
Tibetan–Chinese machine translation is different from Chinese–English machine translation. The most ...
This paper proposes a Chinese to Tibetan machine translation system with multiple translating strate...
The first task in Tibetan Natural Language Processing is word segmentation. We present our lightweig...
本文针对现代藏语句法，并参照宾大中文树库的基础上，构建藏语短语句法树库，并建立了树库编辑工具,为藏汉机器翻译服务。在短语句法树库的基础上，提出一种融合藏语句法特征的藏汉机器翻译方法。通过实验分析，该方...
In order to improve the performance of Tibetan natural language processing applications such as mach...
There are some problems on traditional machine translation and these problems have affected its appl...
This paper presents an identification framework for extracting Tibetan base noun phrase (NP). The fr...
Syntactic analysis in Natural Language Processing (NLP) is one of the most important fields carried ...
This paper represents a departure from traditional Tibetan grammar in terms of the classification of...
Neural machine translation (NMT) is a data-driven machine translation approach that has proven its s...
Corpus serves as an indispensable ingredient for statistical NLP research and real-world application...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Word segmentation, part-of-speech (POS) tagging, and syntactic parsing are three fundamental Chinese...
藏汉机器翻译技术跟汉英机器翻译技术有所不同，其中，很重要的一个方面，藏语更依赖于格助词等虚词在句子中的作用，格助词种类繁多，用法差异很大。本文针对藏语格助词进行分析，在藏语短语句法树库的基础上，加入了...
Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no...