Articles
Total Articles: 38870
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17315
We present the results of the effort of enriching the pre-existing resource LICO, a Lexicon of Italian COnnectives retrieved from lexicographic sources (Feltracco et al., 2016), with real corpus data for connectives marking contrast relations in text. The motivation beyond our effort is that connectives can only be interpreted when …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17316
The Video Annotation for Speech Technologies (VAST) corpus contains approximately 2900 hours of video data collected and labeled to support the development of speech technologies such as speech activity detection, language identification, speaker identification, and speech recognition. The bulk of the data comes from amateur video content harvested from the …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17317
This paper introduces the task of interacting with an image editing program through natural language. We present a corpus of image edit requests which were elicited for real world images, and an annotation framework for understanding such natural language instructions and mapping them to actionable computer commands. Finally, we evaluate …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17318
Our knowledge of life-span changes in the speech of adults is quite sparse. Existing reports are mainly based on English speakers and few studies have compared more than two extreme age groups. The present paper describes the recently constituted MonPaGe_HealthyAdults database of spoken French including 405 male and female speakers …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17319
Spokes Mix is an online service providing access to a number of spoken corpora of Polish, including three newly released time-aligned collections of manually transcribed spoken-conversational data. The purpose of this service is two-fold. Firstly, it functions as a programmatic interface to a number of unique collections of conversational Polish …...
SynPaFlex-Corpus: An Expressive French Audiobooks Corpus dedicated to expressive speech synthesis.
17320nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17320
This paper presents an expressive French audiobooks corpus containing eighty seven hours of good audio quality speech, recorded by a single amateur speaker reading audiobooks of different literary genres. This corpus departs from existing corpora collected from audiobooks since they usually provide a few hours of mono-genre and multi-speaker speech. …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17321
This paper describes statistical analyses of missing translations in simultaneous interpretations. Eighty-eight lectures from English-to- Japanese interpretation data from a large-scale bilingual speech corpus were used for the analyses. Word-level alignment was provided manually, and English words without corresponding Japanese words were considered missing translations. The English lectures con- tained …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17322
Phonetic segmentation is the process of splitting speech into distinct phonetic units. Human experts routinely perform this task manually by analyzing auditory and visual cues using analysis software, which is an extremely time-consuming process. Methods exist for automatic segmentation, but these are not always accurate enough. In order to improve …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17323
This article presents multimodal and parallel data collections in Mboshi, as part of the French-German BULB project. It aims at supporting documentation and providing digital resources for less resourced languages with the help of speech and language-based technology. The data collection specifications thus have to meet both field linguists' and …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17324
In this paper, a new corpus named CoLoSS (Cognitive Load by Speech and performance data in a Symbol-digit dual-task) is presented, which contains speech under cognitive load recorded in a learning task scenario. In order to obtain a reference for cognitive load, a dual-task approach was applied, including a visual-motor …...
Bringing Order to Chaos: A Non-Sequential Approach for Browsing Large Sets of Found Audio Data
17325nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17325
We present a novel and general approach for fast and efficient non-sequential browsing of sound in large archives that we know little or nothing about, e.g. so called found data – data not recorded with the specific purpose to be analysed or used as training data. Our main motivation is …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17326
Within the framework of the Carcinologic Speech Severity Index (C2SI) InCA Project, we collected a large database of French speech recordings aiming at validating Disorder Severity Indexes. Such a database will be useful for measuring the impact of oral and pharyngeal cavity cancer on speech production. That will permit to …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17327
In 2016, we launched a new corpus project in which we are building a large-scale corpus of everyday Japanese conversation in a balanced manner, aiming at exploring characteristics of conversations in contemporary Japanese through multiple approaches. The corpus targets various kinds of naturally occurring conversations in daily situations, such as …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17328
The recognition of French Sign Language (LSF) as a natural language in 2005 created an important need for the development of tools to make information accessible to the deaf public. With this prospect, the goal of this article is to propose a linguistic approach aimed at modeling the French sign …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17335
The three-dimensional visualization of spoken or written information in Sign Language (SL) is considered a potential tool for better inclusion of deaf or hard of hearing individuals with low literacy skills. However, conventional technologies for such CG-supported data display are not able to depict all relevant features of a natural …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17350
Several online dictionaries documenting the lexicon of a variety of sign languages (SLs) are now available. These are rich resources for comparative studies, but there are methodological issues that must be addressed regarding how these resources are used for research purposes. We created a web-based tool for annotating the articulatory …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17353
Sign language recognition (SLR) involves identifying the form and meaning of isolated signs or sequences of signs. To our knowledge, the combination of SLR and sign language assessment is novel. The goal of an ongoing three-year project in Switzerland is to pioneer an assessment system for lexical signs of Swiss …...
Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒ
17354nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17354
In this paper we describe the main issues emerged within the application of a multi-layered scheme for the fine-grained annotation of irony (Karoui et al., 2017) on an Italian Twitter corpus, i.e. TWITTIR `O, which is composed of about 1,500 tweets with various provenance. A discussion is proposed about the …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17355
In this paper we present a novel approach to the construction of an extensive, sense-level sentiment lexicon built on the basis of a wordnet. The main aim of this work is to create a high-quality sentiment lexicon in a partially automated way. We propose a method called Classifier-based Polarity Propagation, …...
nan
Publication: TIPSTER (2018)
DOI: nan
Paper ID: 17356
The natural language processing subfield known as sentiment analysis or opinion mining has seen an explosive expansion over the last decade or so, and sentiment analysis has become a standard item in the NLP toolbox. Still, many theoretical and methodological questions remain unanswered and resource gaps unfilled. Most work on …...