In this paper, we explore spelling errors as a source of information for detecting the native language of a writer, a previously under-explored area. We note that character n-grams from misspelled words are very indicative of the native language of the author. In combination with other lexical features, spelling error features lead to 1.2% improvement in accuracy on classifying texts in the TOE...

This pilot study explores a new approach to automatic detection of figurative language. Our working hypothesis is that the problem of automatic identification of idioms (and metaphors, to some extent) can be reduced to the problem of identifying an outlier in a dataset. By an outlier we mean an observation which appears to be inconsistent with the remainder of a set of data.

Attempts to profile authors based on their characteristics, including native language, have drawn attention in recent years, via several approaches using machine learning with simple features. In this paper we investigate the potential usefulness to this task of contrastive analysis from second language acquistion research, which postulates that the (syntactic) errors in a text are influenced b...

We outline the first application of Native Language Identification (NLI) to Finnish learner data. NLI is the task of predicting an author’s first language using writings in an acquired language. Using data from a new learner corpus of Finnish — a language typology quite different from others previously investigated, with its morphological richness potentially causing difficulties — we show that...

RFID authentication on large numbers of tags or tag groups has attracted many researchers’ attention as an extension of initial one-or-two-tags scenarios. Due to demands of RFID application in supply chain, various proofs are proposed in the purpose of solving existing problems of grouping tags identification. However, it is proved that verifiers in these proofs are not aware of abnormal relati...

This paper presents a technique to adapt an acoustically based language classifier to the background conditions and speaker accents. This adaptation improves language classification on a broad spectrum of TV broadcasts. The core of the system consists of an iVector-based setup in which language and channel variabilities are modeled separately. The subsequent language classifier (the backend) op...

Background RFIDs have almost become ubiquitous such that one can find RFID readers installed in almost any location. These RFIDs follow a well-established protocol, Fig. 1, that is built on the fact that the RFID tags perform very simple processing that require very little power. Thus, the RFID tags do not have to perform any complex storage of energy and it is assumed it can perform all of the...

Most of the sources of security and privacy issues in RFID technology arise from the violation of the air interface between a tag and its reader. This paper will approach the security risk analysis process from the perspective of the RFID tag life cycle, identify the tag usage processes, identify the associated vulnerability and threat to the confidentiality, integrity and availability of the i...