Linguistic Information

An effective procedure for automatically acquiring a new set of disambiguation rules for an existing deterministic parser on the basis of tagged text is presented. Performance of the automatically ac- …...

A method for generating a machine translation (MT) dictionary from parallel texts is described. This method utilizes both statistical information and linguistic information to obtain corresponding words or phrases in …...

This paper describes an approach to Machine Translation that places linguistic information at its foundation. The difficulty of translation from English to Japanese is illustrated with data that shows the …...

In this paper, we present a corpus-based super- vised word sense disambiguation (WSD) sys- tem for Dutch which combines statistical classi- fication (maximum entropy) with linguistic in- formation. Instead of …...

. In this paper, we propose a new method for bilingual collocation extraction from a parallel corpus to provide phrasal translation memory. The method integrates statistical and linguistic information for …...

The research question treated in this paper is centered on the idea of exploiting rich re- sources of one language to enhance the per- formance of a mention detection system …...

Multi-word expressions constitute a sig- nificant portion of the lexicon of every natural language, and handling them cor- rectly is mandatory for various NLP appli- cations. Yet such entities are …...

This paper describes a cognate identifica- tion method, used by a lexical alignment system for French and Romanian. We combine statistical techniques and lin- guistic information to extract cognates from …...

This paper describes a hybrid French - Roma- nian cognate identification module. This mod- ule is used by a lexical alignment system. Our cognate identification method uses lemma- tized, tagged …...

This article describes a linguistically in- formed method for integrating phrasal verbs into statistical machine translation (SMT) systems. In a case study involving English to Bulgarian SMT, we show that …...

AbstractWe introduce an electronic three-way lexicon, Tharwa, comprising Dialectal Arabic, Modern Standard Arabic and English correspondents. The paper focuses on Egyptian Arabic as the first pilot dialect for the resource, …...

AbstractAction verbs have many meanings, covering actions in different ontological types. Moreover, each language categorizes action in its own way. One verb can refer to many different actions and one …...

In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that …...

AbstractThis paper describes speech data recording, processing and annotation of a new speech corpus CoRuSS (Corpus of Russian Spontaneous Speech), which is based on connected communicative speech recorded from 60 …...

AbstractHuman concept representations are often grounded with visual information, yet some aspects of meaning cannot be visually represented or are better described with language. Thus, vision and language provide complementary …...

AbstractLeveraging zero-shot learning to learn mapping functions between vector spaces of different languages is a promising approach to bilingual dictionary induction. However, methods using this approach have not yet achieved …...

AbstractBERT is a recent language representation model that has surprisingly performed well in diverse language understanding benchmarks. This result indicates the possibility that BERT networks capture structural information about language. …...

AbstractComplaining is a speech act extensively used by humans to communicate a negative inconsistency between reality and expectations. Previous work on automatically identifying complaints in social media has focused on …...