This work explores the use of word embeddings as features for Spanish verb sense disambiguation (VSD). This type of learning technique is named disjoint semisupervised learning [21]: an unsupervised algorithm (i.e. the ...

We present and analyze an unsupervised method for Word Sense Disambiguation (WSD). Our work is based on the method presented by McCarthy et al. in 2004 for finding the predominant sense of each word in the entire corpus. ...

This chapter analyzes the differences in proportion and distribution of word-formation processes within the vocabulary of Wichi (Mataguayan). From the analysis of two quantitatively and qualitatively representative Wichi ...

This paper presents the results of a phonological study of primary stress in Wichí, a Mataguayan language spoken in the Gran Chaco. In addition, it analyzes some word formation processes where morphological information ...

The purpose of this study was to investigate the exchange of disfluencies from function words to content words with age in Brazilian Portuguese speakers who do and do not stutter. Ninety stuttering individuals and 90 ...

Planos copia de: Exploded view MZM3935 LP CRT cart - Frame weldment details MZM 3935 LP CRT cart - Core assembly details worksurface panels CRT units & word processing station - Panel worksurface for WPZ 7639 MP word ...

Word embedding approaches increased the efficiency of natural language processing (NLP) tasks. Traditional word embeddings though robust for many NLP activities, do not handle polysemy of words. The tasks of semantic ...

Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On ...

Unsupervised features based on word representations such as word embeddings and word collocations have shown to significantly improve supervised NER for English. In this work we investigate whether such unsupervised features ...