Articles
Total Articles: 38870
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13812
AbstractContributive resources, such as wikipedia, have proved to be valuable in Natural Language Processing or Multilingual Information Retrieval applications. This article focusses on Wiktionary, the dictionary part of the collaborative resources sponsored by the Wikimedia foundation. In this article we present a word net that has been extracted from French, …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13813
AbstractThere are several methods offered for spelling correction in Farsi (Persian) Language. Unfortunately no powerful framework has been implemented because of lack of a large training set in Farsi as an accurate model. A training set consisting of erroneous and related correction string pairs have been obtained from a large …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13814
AbstractSet covering algorithms are efficient tools for solving an optimal linguistic corpus reduction. The optimality of such a process is directly related to the descriptive features of the sentences of a reference corpus. This article suggests to verify experimentally the behaviour of three algorithms, a greedy approach and a lagrangian …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13815
AbstractWord alignment is an important step for machine translation systems. Although the alignment performance between grammatically similar languages is reported to be very high in many studies, the case is not the same for language pairs from different language families. In this study, we are focusing on English-Turkish language pairs. …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13816
AbstractEnterprise content analysis and platform configuration for enterprise content management is often carried out by external consultants that are not necessarily domain experts. In this paper, we propose a set of methods for automatic content analysis that allow users to gain a high level view of the enterprise content. Here, …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13817
AbstractLanguage resources are essential for linguistic research and the development of NLP applications. Low-density languages, such as Irish, therefore lack significant research in this area. This paper describes the early stages in the development of new language resources for Irish ― namely the first Irish dependency treebank and the first …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13818
AbstractIn criminal proceedings, sometimes it is not easy to evaluate the sincerity of oral testimonies. DECOUR - DEception in COURt corpus - has been built with the aim of training models suitable to discriminate, from a stylometric point of view, between sincere and deceptive statements. DECOUR is a collection of …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13819
AbstractExtracting parallel data from comparable corpora in order to enrich existing statistical translation models is an avenue that attracted a lot of research in recent years. There are experiments that convincingly show how parallel data extracted from comparable corpora is able to improve statistical machine translation. Yet, the existing body …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13820
AbstractThe WordNet knowledge model is currently implemented in multiple software frameworks providing procedural access to language instances of it. Frameworks tend to be focused on structural/design aspects of the model thus describing low level interfaces for linguistic knowledge retrieval. Typically the only high level feature directly accessible is word lookup …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13821
AbstractThis paper outlines the main features of Bibliša, a tool that offers various possibilities of enhancing queries submitted to large collections of TMX documents generated from aligned parallel articles residing in multilingual digital libraries of e-journals. The queries initiated by a simple or multiword keyword, in Serbian or English, can …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13822
AbstractThis paper presents deepKnowNet, a new fully automatic method for building highly dense and accurate knowledge bases from existing semantic resources. Basically, the method applies a knowledge-based Word Sense Disambiguation algorithm to assign the most appropriate WordNet sense to large sets of topically related words acquired from the web, named …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13823
AbstractWith the CINTIL-International Corpus of Portuguese, an ongoing corpus annotated with fully flegded grammatical representation, sentences get not only a high level of lexical, morphological and syntactic annotation but also a semantic analysis that prepares the data to a manual specification step and thus opens the way for a number …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13824
AbstractWe present a treebank and lexicon for German and English, which have been developed for PLTAG parsing. PLTAG is a psycholinguistically motivated, incremental version of tree-adjoining grammar (TAG). The resources are however also applicable to parsing with other variants of TAG. The German PLTAG resources are based on the TIGER …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13825
AbstractThis paper focuses on the representation and querying of knowledge-based multimodal data. This work stands in the OTIM project which aims at processing multimodal annotation of a large conversational French speech corpus. Within OTIM, we aim at providing linguists with a unique framework to encode and manipulate numerous linguistic domains …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13826
AbstractWe present an approach to annotating timelines in stories where events are linked together by temporal relations into a temporal dependency tree. This approach avoids the disconnected timeline problems of prior work, and results in timelines that are more suitable for temporal reasoning. We show that annotating timelines as temporal …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13827
AbstractTerminological databases do not always provide detailed information on the linguistic behaviour of terms, although this is important for potential users such as translators or students. In this paper we describe a project that aims to fill this gap by proposing a method for annotating terms in sentences based on …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13828
AbstractWe present a corpus consisting of 11,292 real-world English to Spanish automatic translations annotated with relative (ranking) and absolute (adequate/non-adequate) quality assessments. The translation requests, collected through the popular translation portal http://reverso.net, provide a most variated sample of real-world machine translation (MT) usage, from complete sentences to units of one …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13829
AbstractThis paper describes a method to mine Hindi-English transliteration pairs from online Hindi song lyrics. The technique is based on the observations that lyrics are transliterated word-by-word, maintaining the precise word order. The mining task is nevertheless challenging because the Hindi lyrics and its transliterations are usually available from different, …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13830
AbstractNatural languages possess a wealth of indefinite forms that typically differ in distribution and interpretation. Although formal semanticists have strived to develop precise meaning representations for different indefinite functions, to date there has hardly been any corpus work on the topic. In this paper, we present the results of a …...
nan
Publication: TIPSTER (2012)
DOI: nan
Paper ID: 13831
AbstractWe propose an annotation framework to explicitly identify dropped subject pronouns in Chinese. We acknowledge and specify 10 concrete pronouns that exist as words in Chinese and 4 abstract pronouns that do not correspond to Chinese words, but that are recognized conceptually, to native Chinese speakers. These abstract pronouns are …...