Linguistic Annotation

This paper presents techniques for multimedia annotation and their application to video sum- marization and translation. Our tool for anno- tation allows users to easily create annotation including voice transcripts, …...

AbstractAccentological corpus provides a researcher an opportunity to study word stress and stress variation, which are very important for the Russian language. Moreover, Accentological corpus allows studying the history of …...

We report on efforts to build large-scale translation systems for eight European language pairs. We achieve most gains from the use of larger training corpora and basic modeling, but also …...

AbstractWWe propose applying standardized linguistic annotation to terms included in labels of knowledge representation schemes (taxonomies or ontologies), hypothesizing that this would help improving ontology-based semantic annotation of texts. We …...

This paper discusses linguistic annotation issues, essential to a corpus-based ap- proach to modelling the language use of foreign language learners in various con- texts. We focus on learners of …...

Linguistic annotation is the process of adding additional notations to raw linguistic data for descriptive or analytical purposes. In the tagging of complex Chinese and multilingual linguistic data with a …...

AbstractIXA pipeline is a modular set of Natural Language Processing tools (or pipes) which provide easy access to NLP technology. It offers robust and efficient linguistic annotation to both researchers …...

AbstractThe paper reports on the development of the Hungarian Gigaword Corpus (HGC), an extended new edition of the Hungarian National Corpus, with upgraded and redesigned linguistic annotation and an increased …...

Linguistic annotation is time-consuming and expensive. One common annotation task is to mark entities – such as names of people, places and organisations – in text. In a document, many …...

AbstractThe paper presents a deep factored machine translation (MT) system between English and Bulgarian languages in both directions. The MT system is hybrid. It consists of three main steps: (1) …...

AbstractWe propose a simple yet effective approach for improving Korean word representations using additional linguistic annotation (i.e. Hanja). We employ cross-lingual transfer learning in training word representations by leveraging the …...

AbstractAnnotation quality control is a critical aspect for building reliable corpora through linguistic annotation. In this study, we present a simple but powerful quality control method using two-step reason selection. …...

AbstractNeural text generation models are likely to suffer from the low-diversity problem. Various decoding strategies and training-based methods have been proposed to promote diversity only by exploiting contextual features, but …...

AbstractPro-TEXT is a corpus of keystroke logs written in French. Keystroke logs are recordings of the writing process executed through a keyboard, which keep track of all actions taken by …...