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The paper presents a statistical approach to automatic building of translation lexicons from parallel corpora. We briefly describe the pre-processing steps, a baseline iterative method, and the actual algorithm. The …...

Although vast amounts of textual data are freely available, many NLP algorithms exploit only a minute percentage of it. In this paper, we study the challenges of working at the …...

_________________________________________________________________________________________________________ Are female and male voices processed equally fast? This study deals with processing time of female and male speech. Several authors showed that vowel identification was more difficult on …...

AbstractInformation Extraction is an important task in Natural Language Processing, consisting of finding a structured representation for the information expressed in natural language text. Two key steps in information extraction …...

Building comprehensive language models us- ing latent semantic analysis (LSA) requires substantial processing power. At the ideal pa- rameters suggested in the literature (for an overview, see Bradford, 2008) it …...

AbstractThis paper proposes OCR++, an open-source framework designed for a variety of information extraction tasks from scholarly articles including metadata (title, author names, affiliation and e-mail), structure (section headings and …...

In this study, we propose a method to construct Japanese BERT using fixed Token Embedding to reduce BERT model construction time. This method constructs word embeddings in advance using word2vec …...