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Microblogs such as Twitter, Facebook, and Sina Weibo (China’s equivalent of Twitter) are a remarkable linguistic resource. In contrast to content from edited genres such as newswire, microblogs cont...
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...
Word sense disambiguation and the related field of automated word sense induction traditionally assume that the occurrences of a lemma can be partitioned into senses. But this seems to be a much eas...
The complexity of parsing with synchronous context-free grammars is polynomial in the sentence length for a fixed grammar, but the degree of the polynomial depends on the grammar. Specifi- cally, th...
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...
In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we surv...
Statistical parsers are trained on treebanks that are composed of a few thousand sentences. In order to prevent data sparseness and computational complexity, such parsers make strong independence hypo...
We present online learning techniques for statistical machine translation (SMT). The availability of large training data sets that grow constantly over time is becoming more and more frequent in the f...
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented i...
Automated essay scoring (AES) has become increasingly popular in the last decade with many assessment agencies developing and promoting their automated scoring and automated feedback systems. Ware (20...
Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language p...
Since Big Data mainly aims to explore the correlation between surface features but not their underlying causality relationship, the Big Mechanism program was initiated by DARPA (USA) to find out “why”...
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, ...
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such a...

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