In this paper we propose a method that imitates a translation expert using the Korean translation information and analyse the performance. Korean is good at tagging than Chinese, so we can use this property in Chinese POS tagging. Keyword : machine translation, part of speech tagging, corpus Introduction Previous POS(Part Of Speech) tagging methods of Chinese can be largely classified into 2. O...

p(pos) = p(User1) ∗ p(pos|User1) + p(User2) ∗ p(pos|User2) + p(User3) ∗ p(pos|User3) = 0.2 ∗ 0.3 + 0.2 ∗ 0.5 + 0.6 ∗ 0.3 = 0.06 + 0.10 + 0.18 = 0.34 p(neut) = p(User1) ∗ p(neut|User1) + p(User2) ∗ p(neut|User2) + p(User3) ∗ p(neut|User3) = 0.2 ∗ 0.4 + 0.2 ∗ 0.5 + 0.6 ∗ 0.3 = 0.08 + 0.10 + 0.18 = 0.36 p(neg) = p(User1) ∗ p(neg|User1) + p(User2) ∗ p(neg|User2) + p(User3) ∗ p(neg|User3) = 0.2 ∗ 0....

Part-of-Speech (POS) tagging is an old and fundamental task in natural language processing. While supervised POS taggers have shown promising accuracy, it is not always feasible to use supervised methods due to lack of labeled data. In this project, we attempt to unsurprisingly induce POS tags by iteratively looking for a recurring pattern of words through a hierarchical agglomerative clusterin...

Purpose – The aim of this paper was to investigate the role of perceived organizational support (POS) for employee risk-taking through its association with greater trust among supervisors and subordinates that the organization will take into account the individual’s intent to be helpful in the case of failure (failure-related trust). Design/methodology/approach – Data were obtained from 346 emp...

Part of speech (POS) tags are foremost among the features conventionally used to predict intonational phrase-breaks for text to speech (TTS) conversion. The construction of such systems therefore presupposes the availability of a POS tagger for the relevant language, or of a corpus manually tagged with POS. However, such tools and resources are not available in the majority of the world’s langu...

With performance above 97% accuracy for newspaper text, part of speech (POS) tagging might be considered a solved problem. Previous studies have shown that allowing the parser to resolve POS tag ambiguity does not improve performance. However, for grammar formalisms which use more fine-grained grammatical categories, for example TAG and CCG, tagging accuracy is much lower. In fact, for these fo...

In this paper, we present an applicationoriented evaluation of three Part-ofSpeech (PoS) taggers in a word sense disambiguation (WSD) system. Following the intuition that high quality input is likely to influence the final results of a complex system, we test whether the more accurate taggers also produce better results when integrated into the WSD system. For this purpose, a stand-alone evalua...

The quality of the part-of-speech (PoS) annotation in a corpus is crucial for the development of PoS taggers. In this paper, we experiment with three complementary methods for automatically detecting errors in the PoS annotation for the Icelandic Frequency Dictionary corpus. The first two methods are language independent and we argue that the third method can be adapted to other morphologically...

For any retailer, managing information technology (IT) costs is fundamental. Successful retailing is increasingly dependent on technology-driven innovation, but that does not change the fact that resources are limited. Funding those innovations requires getting the most out of the infrastructure, including point-ofsale (POS) systems. At the same time, more and more is being expected of POS syst...

This article proposes a methodology to model dialogue acts (DA) from part-of-speech (POS) annotations in practical dialogues in Mexican Spanish. An example using empirical data is presented to illustrate this methodology. DA and POS annotations were obtained from DIME, a spoken dialogue corpus in which speakers perform tasks in a virtual environment on a collaborative basis. POS structure is a ...