Articles

This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews …...

Natural language processing systems have the ability to analyse not only the sentiment of human language, but also the stance of the speaker. Representing this information visually from unevenly distributed and potentially sparse datasets is challenging, in particular when trying to facilitate exploration and knowledge discovery. We present work on …...

Transcripts of UK parliamentary debates provide access to the opinions of politicians towards many important topics, but due to the large quantity of textual data and the specialised language used, they are not straightforward for human readers to process. We apply opinion mining methods to these transcripts to classify the …...

Despite its potential utility for facilitating the transcription of speech recordings, automatic speech recognition (ASR) has not been widely explored as a tool for documenting endangered languages. One obstacle to adopting ASR for this purpose is that the amount of data needed to build a reliable ASR system far exceeds …...

This project involves the presentation and analysis of a corpus of Spanish extractive and abstractive summaries of opinions. The purpose of this work is to display a corpus of diverse summaries that could be used as a reference for academic research as we have not found one for the Spanish …...

This article presents new pronunciation dictionaries for the under-resourced Alsatian dialects, spoken in north-eastern France. These dictionaries are compared with existing phonetic transcriptions of Alsatian, German and French in order to analyze the relationship between speech and writing. The Alsatian dialects do not have a standardized spelling system, despite a …...

The aim is to show and promote the linguistic diversity of France, through field recordings, a computer program (which allows us to visualise dialectal areas) and an orthographic transcription (which represents an object of research in itself). A website is presented (https://atlas.limsi.fr), displaying an interactive map of France from which …...

This paper describes an automatic spelling corrector for Amharic, the working language of the Federal Government of Ethiopia. We used a corpus-driven approach with the noisy channel for spelling correction. It infers linguistic knowledge from a text corpus. The approach can be ported to other written languages with little effort …...

The evaluation of a language learner’s proficiency in second language is a task that normally involves comparing the learner’s production with a learning framework of the target language. One of the most well known frameworks is the Common European Framework for Languages (CEFR), which addresses language learning in general and …...

The large amount of data available in social media, forums and websites motivates researches in several areas of Natural Language Processing, such as sentiment analysis. The popularity of the area due to its subjective and semantic characteristics motivates research on novel methods and approaches for classification. Hence, there is a …...

We present the error tagging system of the COPLE2 corpus and the first results of its implementation.. The system takes advantage of the corpus architecture and the possibilities of the TEITOK environment to reduce manual effort and produce a final standoff, multi- level annotation with position-based tags that account for …...

Linguistic corpus annotation is one of the most important phases for addressing Natural Language Processing (NLP) tasks, as these methods are deeply involved with corpus-based techniques. However, meta-data annotation is a highly laborious manual task. A supportive alternative requires the use of computational tools. They are likely to simplify some …...

We present a preliminary analysis on a corpus of texts written by learners of Chinese as a foreign language (CFL), annotated in the form of an L1-L2 parallel dependency treebank. The treebank consists of parse trees of sentences written by CFL learners (“L2 sentences”), parse trees of their target hypotheses …...

This paper presents Revita, a Web-based platform for language learning—beyond the beginner level. We anchor the presentation in a survey, where we review the literature about recent advances in the fields of computer-aided language learning (CALL) and intelligent tutoring systems (ITS). We outline the established desiderata of CALL and ITS …...

The present study proposed a vocabulary commonality index for child language development to investigate to what extent each child acquires common words during the early stages of lexical development. We used large-scaled, vocabulary-checklist data from Japanese-speaking children (N=1,451) aged 8-48 months to estimate their age of acquisition (AoA) of 2688 …...

This paper investigates the use of semi-supervised clustering for Short Answer Scoring (SAS). In SAS, clustering techniques are an attractive alternative to classification because they provide structured groups of answers in addition to a score. Previous approaches use unsupervised clustering and have teachers label some items after clustering. We propose …...

Infant-directed speech is often seen as a predictor for infants' speech processing abilities, for instance speech segmentation or word learning. In this paper, we examine the syntactic distribution (position), accentuation and prosodic phrasing of German verb forms and discuss that many verb forms are prime candidates for early segmentation: they …...

In this abstract we present a methodology to improve Argument annotation guidelines by exploiting inter-annotator agreement measures. After a first stage of the annotation effort, we have detected problematic issues via an analysis of inter-annotator agreement. We have detected ill-defined concepts, which we have addressed by redefining high-level annotation goals. …...

This paper presents a recurrent neural network model to automate the analysis of students’ computational thinking in problem-solving dialogue. We have collected and annotated dialogue transcripts from middle school students solving a robotics challenge, and each dialogue turn is assigned a code. We use sentence embeddings and speaker identities as …...

This research addresses the investigation of intra-document relations based on two major approaches: discourse analysis and coreference resolution which results in building the first Persian discourse Treebank and a comprehensive Persian coreference corpus. In discourse analysis, we have explored sentence-level relations defined between clauses in complex sentences. So we specified …...