Spoken to Spoken vs. Spoken to Written: Corpus Approach to Exploring Interpreting and Subtitling

issue of Polibits includes a selection of papers related to the topic of processing of semantic information. Processing of semantic information involves usage of methods and technologies that help machines to understand the meaning of information. These methods automatically perform analysis, extraction, generation, interpretation, and annotation of information contained on the Web, corpus, natural language systems, and other data. The special section of this issue consists of six papers dedicated to processing of semantic information. The first four papers present new proposals on processing of semantic information using corpora. The fifth paper analyses opinions. The final paper of this section use classification rules for creation of conceptual graphs. The paper " Spoken to Spoken vs. Spoken to Written: Corpus Approach to Exploring Interpreting and Subtitling " deals with corpora of Finnish-Russian interpreting discourse and subtitling. The software package developed for processing of the corpora includes routines specially written for studying speech transcripts rather than written text. For example, speaker statistics function calculates number of words, number of pauses, their duration, and average speech time of a certain speaker. The paper " Semi-Automatic Parallel Corpora Extraction from Comparable News Corpora " develops an effective technique that extracts parallel corpus between Manipuri, a morphologically rich and resource constrained Indian language, and English from comparable news corpora collected from the Web. The paper " A Natural Language Dialogue System for Impression-based Music Retrieval " evaluates a natural language dialogue system with 164 impression words, 14 comparative expressions, such as " a little more " and " more and more, " and modifies the most recently used query vector through a dialogue. Also, the paper evaluates performance using 35 participants to determine the effectiveness of the proposed dialogue system. The paper " Retrieving Lexical Semantics from Multilingual Corpora " proposes an unsupervised technique for building a lexical resource like WordNet used for annotation of parallel corpora. The reported results are for English, German, French, and Greek using the Europarl parallel corpus. The multilingual aspect of the approach helps in reducing the ambiguity inherent in any words/phrases in the English language. The research presented in the paper " Opinion Mining using Ontologies " analyses opinions using an innovative approach based on ontology fusion and matching. The proposed method allows two enterprises to share and merge the results of opinion analyses on their own products and services. The paper " Learning of Chained Rules for Construction …