Articles
Total Articles: 38870
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16573
AbstractIn this paper, a framework for long audio alignment for conversational Arabic speech is proposed. Accurate alignments help in many speech processing tasks such as audio indexing, speech recognizer acoustic model (AM) training, audio summarizing and retrieving, etc. We have collected more than 1,400 hours of conversational Arabic besides the …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16574
AbstractA major problem with dialectal Arabic speech recognition is due to the sparsity of speech resources. In this paper, a transfer learning framework is proposed to jointly use a large amount of Modern Standard Arabic (MSA) data and little amount of dialectal Arabic data to improve acoustic and language modeling. …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16575
AbstractWe describe an approach for mining parallel sentences in a collection of documents in two languages. While several approaches have been proposed for doing so, our proposal differs in several respects. First, we use a document level classifier in order to focus on potentially fruitful document pairs, an understudied approach. …...
Introducing a web application for labeling, visualizing speech and correcting derived speech signals
16576nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16576
AbstractThe advent of HTML5 has sparked a great increase in interest in the web as a development platform for a variety of different research applications. Due to its ability to easily deploy software to remote clients and the recent development of standardized browser APIs, we argue that the browser has …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16577
AbstractMeasuring readability of a text is the first sensible step to its simplification. In this paper we present an overview of the most common approaches to automatic measuring of readability. Of the described ones, we implemented and evaluated: Gunning FOG index, Flesch-based Pisarek method. We also present two other approaches. …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16578
AbstractIn this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text. The detected hypernym relations should enable us to semantically structure automatically obtained term lists from domain- and user-specific data. We investigated three different hypernymy extraction approaches for Dutch and English: …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16579
AbstractIn this paper, we describe the design and development of a new version of the Corpus of Spontaneous Japanese (CSJ), which is a large-scale spoken corpus released in 2004. CSJ contains various annotations that are represented in XML format (CSJ-XML). CSJ-XML, however, is very complicated and suffers from some problems. …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16580
AbstractThis paper will focus on the evaluation of automatic methods for quantifying language similarity. This is achieved by ascribing language similarity to the similarity of text corpora. This corpus similarity will first be determined by the resemblance of the vocabulary of languages. Thereto words or parts of them such as …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16581
AbstractTerminology extraction resources are needed for a wide range of human language technology applications, including knowledge management, information extraction, semantic search, cross-language information retrieval and automatic and assisted translation. We create a low cost method for creating terminology extraction resources for 21 non-English EU languages. Using parallel corpora and a …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16582
AbstractThe authors have written the Ethic and Big Data Charter in collaboration with various agencies, private bodies and associations. This Charter aims at describing any large or complex resources, and in particular language resources, from a legal and ethical viewpoint and ensuring the transparency of the process of creating and …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16583
AbstractIn this paper, we present a novel combination of two types of language resources dedicated to the detection of relevant relations (RE) such as events or facts across sentence boundaries. One of the two resources is the sar-graph, which aggregates for each target relation ten thousands of linguistic patterns of …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16584
AbstractWe present two new NER datasets for Twitter; a manually annotated set of 1,467 tweets (kappa=0.942) and a set of 2,975 expert-corrected, crowdsourced NER annotated tweets from the dataset described in Finin et al. (2010). In our experiments with these datasets, we observe two important points: (a) language drift on …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16585
AbstractIn this paper, we present a corpus annotated with dependency relationships in Japanese. It contains about 30 thousand sentences in various domains. Six domains in Balanced Corpus of Contemporary Written Japanese have part-of-speech and pronunciation annotation as well. Dictionary example sentences have pronunciation annotation and cover basic vocabulary in Japanese …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16586
AbstractCrowdsourcing has been used recently as an alternative to traditional costly annotation by many natural language processing groups. In this paper, we explore the use of Amazon Mechanical Turk (AMT) in order to assess the feasibility of using AMT workers (also known as Turkers) to perform linguistic annotation of Arabic. …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16587
AbstractModern language learning courses are no longer exclusively based on books or face-to-face lectures. More and more lessons make use of multimedia and personalized learning methods. Many of these are based on e-learning solutions. Learning via the Internet provides 7/24 services that require sizeable human resources. Therefore we witness a …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16588
AbstractCLARIN is the short name for the Common Language Resources and Technology Infrastructure, which aims at providing easy and sustainable access for scholars in the humanities and social sciences to digital language data and advanced tools to discover, explore, exploit, annotate, analyse or combine them, independent of where they are …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16589
AbstractWe present a compendium of 110 Statistical Machine Translation systems built from parallel corpora of 11 Indian languages belonging to both Indo-Aryan and Dravidian families. We analyze the relationship between translation accuracy and the language families involved. We feel that insights obtained from this analysis will provide guidelines for creating …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16590
AbstractWeb 2.0 has allowed a never imagined communication boom. With the widespread use of computational and mobile devices, anyone, in practically any language, may post comments in the web. As such, formal language is not necessarily used. In fact, in these communicative situations, language is marked by the absence of …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16591
AbstractMethods for automatic detection and interpretation of metaphors have focused on analysis and utilization of the ways in which metaphors violate selectional preferences (Martin, 2006). Detection and interpretation processes that rely on this method can achieve wide coverage and may be able to detect some novel metaphors. However, they are …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16592
AbstractSpeech uttered under the influence of alcohol is known to deviate from the speech of the same person when sober. This is an important feature in forensic investigations and could also be used to detect intoxication in the automotive environment. Aside from acoustic-phonetic features and speech content which have already …...