Articles

This paper describes a method for distinguishing lexical layers in environmental corpora (i.e. the general lexicon, the transdisciplinary lexicon and two sets of lexical items related to the domain). More specifically we aim to identify the general environmental lexicon (GEL) and assess the extent to which we can set it …...

Relational nouns refer to an entity by virtue of how it relates to another entity. Their identification in text is a prerequisite for the correct semantic interpretation of a sentence, and could be used to improve information extraction. Although various systems for extracting relations expressed using nouns have been developed, …...

The limited availability of in-domain training data is a major issue in the training of application-specific neural machine translation models. Professional outsourcing of bilingual data collections is costly and often not feasible. In this paper we analyze the influence of using crowdsourcing as a scalable way to obtain translations of …...

Transcribing speech is an important part of language documentation, yet speech recognition technology has not been widely harnessed to aid linguists. We explore the use of a neural network architecture with the connectionist temporal classification loss function for phonemic and tonal transcription in a language documentation setting. In this framework, …...

In order to build technology that has the ability to answer questions relevant to national and global security, e.g., on food insecurity in certain parts of the world, one has to implement machine reading technology that extracts causal mechanisms from texts. Unfortunately, many of these texts describe these interactions using …...

We present the crowdsourcing platform Donnez Votre Français à la Science (DFS, or “Give your French to Science”), which aims to collect linguistic data and document language use, with a special focus on regional variation in European French. The activities not only gather data that is useful for scientific studies, …...

In this paper, we present two resources that were created as part of the Multi Arabic Dialect Applications and Resources (MADAR) project. The first is a large parallel corpus of 25 Arabic city dialects in the travel domain. The second is a lexicon of 1,045 concepts with an average of …...

Most speech and language technologies are trained with massive amounts of speech and text information. However, most of the world languages do not have such resources and some even lack a stable orthography. Building systems under these almost zero resource conditions is not only promising for speech technology but also …...

An attribution occurs when an author quotes, paraphrases, or describes the statements and private states of a third party. Journalists use attribution to report statements and attitudes of public figures, organizations, and ordinary individuals. Properly recognizing attributions in context is an essential aspect of natural language understanding and implicated in …...

As argumentation about controversies is culture- and language-dependent, porting a serious game that deals with daily argumentation to another language requires substantial adaptation. This article presents a study of deploying Argotario (serious game for learning argumentation fallacies) in the German context. We examine all steps that are necessary to end …...

It is widely held that smells and flavors are impossible to put into words. In this paper we test this claim by seeking predictive patterns in wine reviews, which ostensibly aim to provide guides to perceptual content. Wine reviews have previously been critiqued as random and meaningless. We collected an …...

Delta measures are a well-established and popular family of authorship attribution methods, especially for literary texts. N-gram tracing is a novel method for authorship attribution designed for very short texts, which has its roots in forensic linguistics. We evaluate the performance of both methods in a series of experiments on …...

We present a database of epigraphs collected with the goal of revealing literary influence as a set of connections between authors over time. We have collected epigraphs from over 12,000 literary works and are in the process of identifying their provenance. The database is released under an open license. Keywords: …...

Stories are a vital form of communication in human culture; they are employed daily to persuade, to elicit sympathy, or to convey a message. Computational understanding of human narratives, especially high-level narrative structures, remain limited to date. Multiple literary theories for narrative structures exist, but operationalization of the theories has …...

We present the analysis of a large-scale survey titled “Language Technology for Multilingual Europe”, conducted between May and June 2017. A total of 634 participants in 52 countries responded to the survey. Its main purpose was to collect input, feedback and ideas from the European Language Technology research and innovation …...

The past few years have witnessed renewed interest in NLP tasks at the interface between vision and language. One intensively-studied problem is that of automatically generating text from images. In this paper, we extend this problem to the more specific domain of face description. Unlike scene descriptions, face descriptions are …...

To collect and share language resources like machine translators and dictionaries, we developed the Language Grid in 2006, a service- oriented language infrastructure on the Internet. Although we have put a lot of effort into improving the service grid technologies and collecting language services, international NPO/NGOs are struggling with the …...

This study creates a language dataset for lexical simplification based on Common European Framework of References for Languages (CEFR) levels (CEFR-LS). Lexical simplification has continued to be one of the important tasks for language learning and education. There are several language resources for lexical simplification that are available for generating …...

CLARIN is a European Research Infrastructure providing access to language resources and technologies for researchers in the humanities and social sciences. It supports the study of language data in general and aims to increase the potential for comparative research of cultural and societal phenomena across the boundaries of languages. This …...

Duplicate Question Detection (DQD) is a Natural Language Processing task under active research, with applications to fields like Community Question Answering and Information Retrieval. While DQD falls under the umbrella of Semantic Text Similarity (STS), these are often not seen as similar tasks of semantic equivalence detection, with STS being …...