http://hdl.handle.net/20.500.11956/189139 Volume 2024 Sun, 05 Apr 2026 11:37:09 GMT 2026-04-05T11:37:09Z http://hdl.handle.net/20.500.11956/194731 A new tool for semantic network analysis: fan_xplorr Maršík, Albert; Leuf, Eva Maria Lexical association data is a valuable resource in psycholinguistics, providing researchers with empirical insights into which words are perceived as ‘belonging together’. One of the largest such datasets for English, the University of South Florida Free Association Norms database, is available freely online. The raw data format however requires some technical steps to tap into the potential it offers for network science, which can present a barrier for some researchers. This paper introduces a userfriendly command-line tool, fan_xplorr, that addresses this issue by providing linguists with access to the data. With the proposed tool, researchers can interactively display portions of the semantic network dataset in the form of interactive network graphs. The design of the tool enables linguists to access the dataset without advanced technical skills and promotes exploration within the dataset for psycholinguistic studies. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.11956/194731 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.11956/194730 Reporting verbs associated with evidentiality in research article abstracts in applied linguistics and applied psycholinguistics Kapranov, Oleksandr The article presents a quantitative corpus-based study that aims to shed light on the frequency and distribution of reporting verbs (for instance, indicate, posit, etc.) associated with evidentiality that are found in research article abstracts (RAAs) in applied linguistics and applied psycholinguistics, respectively. Theoretically and methodologically, the study is informed by the literature (Söderqvist, 2020; Szczygłowska, 2022), which demonstrates that reporting verbs may mark evidentiality in scientific discourse. In order to establish the frequency of the occurrence of reporting verbs associated with evidentiality, a corpus of RAAs in applied linguistics and applied psycholinguistics was collected and, subsequently, analysed in software program AntConc version 4.0.11 (Anthony, 2022). The results of the quantitative analysis revealed that show and suggest were the most frequent reporting verbs associated with evidentiality in the corpus of RAAs in applied linguistics and applied psycholinguistics alike. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.11956/194730 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.11956/194729 Parallel corpus in analysing Czech spoken expressions and their equivalents in English, French, and Polish Zasina, Adrian Jan This paper uses corpus data to analyse spoken expressions and discourse markers in Czech, applying these findings to corpus-based exercises for learners of Czech as a foreign language. The analytical section highlights the usefulness of parallel corpus in identifying suitable translation equivalents for prevalent Czech spoken vocabulary in English, French, and Polish as native languages from the learner’s perspective. The methodology outlines the process of finding appropriate translation equivalents in film subtitles, considering both meaning and spoken register. The pedagogical section introduces three corpus-based exercises designed to improve conversational skills, featuring authentic texts that familiarise learners with spoken vocabulary. This research builds on previous studies of the English language that did not use parallel corpora to identify translation equivalents in learners’ native languages — an essential factor for understanding a foreign language. In addition, tailor-made corpus-based exercises can be seamlessly integrated into everyday classroom activities to enhance language awareness among non-native speakers. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.11956/194729 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.11956/194728 Instantiating variables in schemas within Relational Morphology Kos, Petr The article deals with the instantiation of variables in schemas within the Relational Morphology theory. On the basis of an approach to word-formation from concept to form, the article argues that for the question of what lexemes are retrieved from the lexicon to instantiate the variables in schemas in order to achieve the required meaning of the resulting word within the generative role of schemas, it is important to distinguish different functions of word-formation, namely those that provide mere variations on existing lexemes in contrast to the function of word-formation that provides names for concepts in the extra-linguistic world. In the first case, the variables in schemas are instantiated with lexemes on which we perform the variation, whereas, in the second case, the lexemes result from prior mental processing of the concept to be named. The paper thus also provides the description of the process of conceptualization within the naming function of word-formation and demonstrates the principles of conceptualization on various examples. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.11956/194728 2024-01-01T00:00:00Z