Language identification based on a discriminative text categorization technique

In this paper, we describe new results and improvements to a lan-guage identification (LID) system based on PPRLM previously introduced in [1] and [2]. In this case, we use as parallel phone recognizers the ones provided by the Brno University of Technology for Czech, Hungarian, and Russian lan-guages, and instead of using traditional n-gram language models we use a lan-guage model that is created using a ranking with the most frequent and discrim-inative n-grams. In this language model approach, the distance between the ranking for the input sentence and the ranking for each language is computed, based on the difference in relative positions for each n-gram. This approach is able to model reliably longer span information than in traditional language models obtaining more reliable estimations. We also describe the modifications that we have being introducing along the time to the original ranking technique, e.g., different discriminative formulas to establish the ranking, variations of the template size, the suppression of repeated consecutive phones, and a new clus-tering technique for the ranking scores. Results show that this technique pro-vides a 12.9% relative improvement over PPRLM. Finally, we also describe re-sults where the traditional PPRLM and our ranking technique are combined.

Categorization of Anti-Patterns in Software Project Management

In the last decades, software systems have become an intrinsic element in our daily lives. Software exists in our computers, in our cars, and even in our refrigerators. Today’s world has become heavily dependent on software and yet, we still struggle to deliver quality software products, on-time and within budget. When searching for the causes of such alarming scenario, we find concurrent voices pointing to the role of the project manager. But what is project management and what makes it so challenging? Part of the answer to this question requires a deeper analysis of why software project managers have been largely ineffective. Answering this question might assist current and future software project managers in avoiding, or at least effectively mitigating, problematic scenarios that, if unresolved, will eventually lead to additional failures. This is where anti-patterns come into play and where they can be a useful tool in identifying and addressing software project management failure. Unfortunately, anti-patterns are still a fairly recent concept, and thus, available information is still scarce and loosely organized. This thesis will attempt to help remedy this scenario. The objective of this work is to help organize existing, documented software project management anti-patterns by answering our two research questions: · What are the different anti-patterns in software project management? · How can these anti-patterns be categorized?

CRASH III model improvements: vehicle categorization for stiffness parameters. Volume 1. Final report.

Mode of access: Internet.

Why does dissimilarity matter? Exploring self-categorization, self-enhancement, and uncertainty reduction

Although relational demographers have based their arguments on self-categorization theory, they have paid little attention to the underlying processes associated with this theory. The authors examined whether demographic dissimilarity affects individuals' identification with groups by affecting the group's prototype valence and clarity and the individual's perceptions of self-prototypicality. The data showed that the proportion of women and non-Australians in 34 work groups negatively influenced prototype valence, prototype clarity, and self-prototypicality for all members of the group. These results provide support for the continued use of self-categorization theory by relational demographers.

A self-categorization explanation for the third-person effect

Three studies tested a self-categorization theory explanation for the third-person effect. In Study 1 (N = 49) undergraduate students judged the influence of the National Enquirer, Wall Street Journal, and TV show Friends on themselves, relative to low- and high-status outgroup members, and other undergraduate students. The profile of first- and third-person perceptions was largely consistent with predictions, and the size of the third-person effect decreased as perceived similarity to target others increased-but only for media that were normative for comparison others. Study 2 (N = 49) provided evidence for this process with different media and showed that the profile of first- and third-person perceptions matched closely with perceived norms of media consumption-but not the social desirability of those media. Study 3 (N = 64) showed that the third-person effect for the same media and target other shifts with the frame of reference in which the judgment is made. Taken together, the findings are consistent with self-categorization theory and difficult to reconcile with other explanations.

Social identity, self-categorization, and the communication of group norms

We articulate the role of norms within the social identity perspective as a basis for theorizing a number of manifestly communicative phenomena. We describe how group norms are cognitively represented as context-dependent prototypes that capture the distinctive properties of groups. The same process that governs the psychological salience of different prototypes, and thus generates group normative behavior, can be used to understand the formation, perception, and diffusion of norms, and also how some group members, for example, leaders, have more normative influence than others. life illustrate this process across a number of phenomena and make suggestions for future interfaces between the social identity perspective and communication research. We believe that the social identity approach represents a truly integrative force for the communication discipline.

An empirical investigation of host country national categorization of expatriates in the United Kingdom

In recent times, some authors have argued that Host Country National (HCN) categorization of expatriate co-workers plays a major role in expatriate adjustment. Previous studies have argued that HCN categorization of expatriates maybe be based on gender, or national origin. In this study, using data from 331 HCNs in the U.K., we find that HCN expectations of foreigners may play a big role in categorization. Further, we find that categorization leads to lower levels of support offered by HCNs, which can affect expatriate adjustment. We discuss implications and offer suggestions for future research.

Two-nation study of host country national categorization of female expatriates - United States and India

This study was designed to study the role of Host Country National categorizationof female expatriate co-workers, in two samples – U.S., and India. Using data from 54participants in the U.S. and 52 participants in India, we found that respondents from Indiacategorized potential expatriate co-workers from the U.S. into in-group or out-groupsignificantly more than respondents from the U.S. Further, we found that femaleexpatriates from the U.S. are preferred by Indian HCNs as co-workers significantly morethan male expatriates from the U.S. We discuss implications for organizations and offersuggestions for future research.

A new perspective on the female expatriate experience:the role of host country national categorization

This study was designed to investigate host country national (HCN) categorization of female expatriates, in two samples-U.S. and India. Two hundred and twenty-two HCNs (104 in the U.S. and 118 in India) participated in the study. Consistent with prior research [e.g., Tung, R. L. (1998). American expatriates abroad: From neophytes to cosmopolitans. Journal of World Business, 33: 125-140], we found that female expatriates from the U.S. were not discriminated against. Indeed, we found that female expatriates from the U.S. were preferred by Indian HCNs, as co-workers, significantly more than male expatriates from the U.S. We discuss implications for organizations and offer suggestions for future research. © 2006 Elsevier Inc. All rights reserved.

A corpus-based investigation of junk emails

Almost everyone who has an email account receives from time to time unwanted emails. These emails can be jokes from friends or commercial product offers from unknown people. In this paper we focus on these unwanted messages which try to promote a product or service, or to offer some “hot” business opportunities. These messages are called junk emails. Several methods to filter junk emails were proposed, but none considers the linguistic characteristics of junk emails. In this paper, we investigate the linguistic features of a corpus of junk emails, and try to decide if they constitute a distinct genre. Our corpus of junk emails was build from the messages received by the authors over a period of time. Initially, the corpus consisted of 1563, but after eliminating the duplications automatically we kept only 673 files, totalising just over 373,000 tokens. In order to decide if the junk emails constitute a different genre, a comparison with a corpus of leaflets extracted from BNC and with the whole BNC corpus is carried out. Several characteristics at the lexical and grammatical levels were identified.