Inter-annotator consistency is a concern for any corpus building effort relying on human annotation. Adjudication is as effective way to locate and correct discrepancies of various kinds. It can also be both difficult and time-consuming. This paper introduces Linguistic Data Consortium (LDC)’s model for decision point-based annotation and adjudication, and describes the annotation tools develop...

This paper proposes a method to automatically classify texts from different varieties of the same language. We show that similarity measure is a robust tool for studying comparable corpora of language variations. We take LDC’s Chinese Gigaword Corpus composed of three varieties of Chinese from Mainland China, Singapore, and Taiwan, as the comparable corpora. Top-bag-of-word similarity measures ...

There is an increasing interest in multimodal communication as suggested by several national and international projects (ISLE, HUMAINE, SIMILAR, CHIL, AMI, CALO, VACE, CALLAS), the attention devoted to the topic by well-known institutions and organizations (the National Institute of Standards and Technology, the Linguistic Data Consortium), and the success of conferences related to multimodal c...

For its first birthday, the LIC2M has participated to the Small Multilingual Track of CLEF 2003. Our system is based on a deep linguistic analysis of documents and queries and on an original search algorithm inherited from the Spirit (EMIR) system. With a partially developed system, we obtained average results that will serve as a baseline for us in our future participations to IR evaluations.

We are fascinated by the significant but understudied analytic issue of when different linguistic systems (particularly morphosyntactic features) should be recognized in a given language. In the most straightforward instances we can see that two systems are orthogonal (logically independent of each other), and so each should be postulated in an adequate analysis. Thus traditional accounts of la...

This research note reports on the work in progress which regards automatic transformation of phrase-structure syntactic trees of Arabic into dependency-driven analytical ones. Guidelines for these descriptions have been developed at the Linguistic Data Consortium, University of Pennsylvania, and at the Faculty of Mathematics and Physics and the Faculty of Arts, Charles University in Prague, res...

Linguistic Data Consortium (LDC) at the University of Pennsylvania has participated as a data provider in a variety of governmentsponsored programs that support development of Human Language Technologies. As the number of projects increases, the quantity and variety of the data LDC produces have increased dramatically in recent years. In this paper, we describe the technical infrastructure, bot...

Argument by multimodal metaphor usually plays a vital role of persuasion daily. In this paper, we analyse the argumentation of Lin Dan Commercial (LDC), an anti-corruption advertisement broadcasted on China Central Television, with conceptual metaphor theory and multimodal metaphor, in order to carry out an evaluation of the reasonableness and effectiveness of the argument. On practice, this re...

Peer-assessment is a way to include evaluation as a part of the learning process and simultaneously to cut teacher load in grading of assignments. eLearning systems can be used to automate peer-assessment to a large extent. Peer-assessment benefits from multiplepeer-assessment as it is likely to even-out outliers. Linguistic scorecards can be used to simplify assessment. The linguistic scales c...

We study an approximate version of q-query LDCs (Locally Decodable Codes) over the real numbers and prove lower bounds on the encoding length of such codes. A q-query (α, δ)approximate LDC is a set V of n points in R so that, for each i ∈ [d] there are Ω(δn) disjoint q-tuples (u1, . . . ,uq) in V so that span(u1, . . . ,uq) contains a unit vector whose i’th coordinate is at least α. We prove ex...