Total Articles: 38870

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14812

AbstractThe listener’s gazing activities during utterances were analyzed in a face-to-face three-party conversation setting. The function of each utterance was categorized according to the Grounding Acts defined by Traum (Traum, 1994) so that gazes during utterances could be analyzed from the viewpoint of grounding in communication (Clark, 1996). Quantitative analysis …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14814

AbstractIn this paper we present the newly created parallel corpus of two under-resourced languages, namely, Macedonian-Croatian Parallel Corpus (mk-hr_pcorp) that has been collected during 2015 at the Faculty of Humanities and Social Sciences, University of Zagreb. The mk-hr_pcorp is a unidirectional (mk→hr) parallel corpus composed of synchronic fictional prose texts …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14815

AbstractThe overarching objective underlying this research is to develop an online tool, based on a parallel corpus of French Belgian Sign Language (LSFB) and written Belgian French. This tool is aimed to assist various set of tasks related to the comparison of LSFB and French, to the benefit of general …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14816

AbstractWe present our effort to create a large Multi-Layered representational repository of Linguistic Code-Switched Arabic data. The process involves developing clear annotation standards and Guidelines, streamlining the annotation process, and implementing quality control measures. We used two main protocols for annotation: in-lab gold annotations and crowd sourcing annotations. We developed …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14817

AbstractIn this work, we present the Language Computer Corporation (LCC) annotated metaphor datasets, which represent the largest and most comprehensive resource for metaphor research to date. These datasets were produced over the course of three years by a staff of nine annotators working in four languages (English, Spanish, Russian, and …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14818

AbstractBilingual communities often alternate between languages both in spoken and written communication. One such community, Germany residents of Turkish origin produce Turkish-German code-switching, by heavily mixing two languages at discourse, sentence, or word level. Code-switching in general, and Turkish-German code-switching in particular, has been studied for a long time from …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14819

AbstractIn an intercomprehension scenario, typically a native speaker of language L1 is confronted with output from an unknown, but related language L2. In this setting, the degree to which the receiver recognizes the unfamiliar words greatly determines communicative success. Despite exhibiting great string-level differences, cognates may be recognized very successfully …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14820

AbstractStatistical Machine Translation (SMT) relies on the availability of rich parallel corpora. However, in the case of under-resourced languages or some specific domains, parallel corpora are not readily available. This leads to under-performing machine translation systems in those sparse data settings. To overcome the low availability of parallel resources the …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14821

AbstractWe present MultiVec, a new toolkit for computing continuous representations for text at different granularity levels (word-level or sequences of words). MultiVec includes word2vec’s features, paragraph vector (batch and online) and bivec for bilingual distributed representations. MultiVec also includes different distance measures between words and sequences of words. The toolkit …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14822

AbstractThere is a rich flora of word space models that have proven their efficiency in many different applications including information retrieval (Dumais, 1988), word sense disambiguation (Schutze, 1992), various semantic knowledge tests (Lund et al., 1995; Karlgren, 2001), and text categorization (Sahlgren, 2005). Based on the assumption that each model …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14823

AbstractIn the recent years, Linked Data and Language Technology solutions gained popularity. Nevertheless, their coupling in real-world business is limited due to several issues. Existing products and services are developed for a particular domain, can be used only in combination with already integrated datasets or their language coverage is limited. …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14824

AbstractThis paper describes the project called Axolotl which comprises a Spanish-Nahuatl parallel corpus and its search interface. Spanish and Nahuatl are distant languages spoken in the same country. Due to the scarcity of digital resources, we describe the several problems that arose when compiling this corpus: most of our sources …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14825

AbstractIn this paper, we address the shortage of evaluation benchmarks on Persian (Farsi) language by creating and making available a new benchmark for English to Persian Cross Lingual Word Sense Disambiguation (CL-WSD). In creating the benchmark, we follow the format of the SemEval 2013 CL-WSD task, such that the introduced …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14826

AbstractIn this paper, we describe our effort in the development and annotation of a large scale corpus containing code-switched data. Until recently, very limited effort has been devoted to develop computational approaches or even basic linguistic resources to support research into the processing of Moroccan Darija....

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14827

AbstractWe describe a monolingual English corpus of original and (human) translated texts, with an accurate annotation of speaker properties, including the original language of the utterances and the speaker’s country of origin. We thus obtain three sub-corpora of texts reflecting native English, non-native English, and English translated from a variety …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14828

AbstractSemantic relations play an important role in linguistic knowledge representation. Although their role is relevant in the context of written text, there is no approach or dataset that makes use of contextuality of classic semantic relations beyond the boundary of one sentence. We present the SemRelData dataset that contains annotations …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14829

AbstractCode-switching texts are those that contain terms in two or more different languages, and they appear increasingly often in social media. The aim of this paper is to provide a resource to the research community to evaluate the performance of sentiment classification techniques on this complex multilingual environment, proposing an …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14830

AbstractWikipedia has become one of the most popular resources in natural language processing and it is used in quantities of applications. However, Wikipedia requires a substantial pre-processing step before it can be used. For instance, its set of nonstandardized annotations, referred to as the wiki markup, is language-dependent and needs …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14831

AbstractWord embeddings have recently seen a strong increase in interest as a result of strong performance gains on a variety of tasks. However, most of this research also underlined the importance of benchmark datasets, and the difficulty of constructing these for a variety of language-specific tasks. Still, many of the …...

nan

Publication: TIPSTER (2016)

DOI: nan

Paper ID: 14832

AbstractThe growth of social networking platforms has drawn a lot of attentions to the need for social computing. Social computing utilises human insights for computational tasks as well as design of systems that support social behaviours and interactions. One of the key aspects of social computing is the ability to …...