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有声思维和刺激性回忆作为数据采集方式和数据分析对象已被融入应用语言学混合研究当中，其在混合设计中作为质化分析对象的情况仍然占有较大的比重。虽然我们可以像分析语篇那样对口头报告的内容进行质化分析，但其可被量化的特征也尤为突出。在混合设计中，同步报告与量化分析、追溯报告与质化分析之间具有较强的关联性，而其在实验方法中，作为质化分析数据的情况更多。在口头报告仅用于质化分析的文献中，口头报告体现出了更强的...
2019年9月3日，国际知名语言学期刊Journal of Second Language Writing（二语写作学报）刊登了我院蒋景阳教授团队的最新文章Syntactic complexity development in the writings of EFL learners: Insights from a dependency syntactically-annotated corpu...
A team of international researchers, led by Colorado State University’s Michael Gavin, have taken a first step in answering fundamental questions about human diversity.Humans collectively speak n...
String Kernels for Native Language Identification: Insights from Behind the Curtains
Text mining classification task depend on the characteristics of high level language features language task identity string
2016/10/31
The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an approach that use...
The last fluent speakers of the Myaamia -- or Miami -- language passed away during the mid-20th century, around the same time Native American linguist Daryl Baldwin was born.Today, thanks to the effor...
Source Language Adaptation Approaches for Resource-Poor Machine Translation
Source Language Adaptation Approaches Resource-Poor Machine Translation
2016/7/7
Most of the world languages are resource-poor for statistical machine translation; still, many
of them are actually related to some resource-rich language. Thus, we propose three novel,
language-ind...
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
Computational Models Language Phenomena
2016/7/7
Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research
published to...
With recent advances in machine learning, big data, and computing infrastructure, computers will realistically reach human parity in understanding spoken language in the next few years. The computing ...
Language in its spoken form was invented over 50,000 years ago. Around that time, modern humans left their African homeland and colonized the entire planet. Writing was invented some 6,000 years ago, ...
Graph-Based Word Alignment for Clinical Language Evaluation
Graph-Based Word Alignment Clinical Language Evaluation
2016/2/23
Among the more recent applications for natural language processing algorithms has been the analysis of spoken language data for diagnostic and remedial purposes, fueled by the demand for simple, objec...
Thinking and Language Learning.
Communication-oriented language teaching:Which way ahead?
Communication-oriented language teaching
2016/1/27
Communication-oriented language teaching:Which way ahead?
Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
Applications of Lexicographic Semirings to Problems in Speech and Language Processing
Lexicographic Semirings Speech and Language Processing
2015/9/14
This paper explores lexicographic semirings and their application to problems in speech and language processing. Specifically, we present two instantiations of binary lexicographic semirings, one invo...
Stochastic Language Generation in Dialogue using Factored Language Models
Stochastic Language Generation Dialogue Factored Language Models
2015/9/14
Most previous work on trainable language generation has focused on two paradigms: (a) using a generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted gene...