5,717 research outputs found

    The semantics of the native greek verb suffixes / Chariton Charitonidis

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    The aim of this paper is to give the semantic profile of the Greek verb-deriving suffixes -íz(o), -én(o), -év(o), -ón(o), -(i)áz(o), and -ín(o), with a special account of the ending -áo/-ó. The patterns presented are the result of an empirical analysis of data extracted from extended interviews conducted with 28 native Greek speakers in Athens, Greece in February 2009. In the first interview task the test persons were asked to force(=create) verbs by using the suffixes -ízo, -évo, -óno, -(i)ázo, and -íno and a variety of bases which conformed to the ontological distinctions made in Lieber (2004). In the second task the test persons were asked to evaluate three groups of forced verbs with a noun, an adjective, and an adverb, respectively, by using one (best/highly acceptable verb) to six (worst/unacceptable verb) points. In the third task nineteen established verb pairs with different suffixes and the ending -áo/-ó were presented. The test persons were asked to report whether there was some difference between them and what exactly this difference was. The differences reported were transformed into 16 alternations. In the fourth task 21 established verbs with different suffixes were presented. The test persons were asked to give the "opposite" or "near opposite" expression for each verb. The rationale behind this task was to arrive at the meaning of the suffixes through the semantics of the opposites. In the analysis Rochelle's Lieber's (2004) theoretical framework is used. The results of the analysis suggest (i) a sign-based treatment of affixes, (ii) a vertical preference structure in the semantic structure of the head suffixes which takes into account the semantic make-up of the bases, and (iii) the integration of socioexpressive meaning into verb structures

    Masked suffix priming and morpheme positional constraints

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    Although masked stem priming (e.g., dealer\u2013DEAL) is one of the most established effects in visual word identification (e.g., Grainger et al., 1991), it is less clear whether primes and targets sharing a suffix (e.g., kindness\u2013WILDNESS) also yield facilitation (Giraudo & Grainger, 2003; Du\uf1abeitia et al., 2008). In a new take on this issue, we show that prime nonwords facilitate lexical decisions to target words ending with the same suffix (sheeter\uac\u2013TEACHER) compared to a condition where the critical suffix was substituted by another one (sheetal\u2013TEACHER) or by an unrelated non\u2013morphological ending (sheetub\u2013 TEACHER). We also show that this effect is genuinely morphological, as no priming emerged in non\u2013complex items with the same orthographic characteristics (sportel\u2013BROTHEL vs. sportic\u2013BROTHEL vs. sportur\u2013BROTHEL). In a further experiment, we took advantage of these results to assess whether suffixes are recognized in a position\u2013specific fashion. Masked suffix priming did not emerge when the relative order of stems and suffixes was reversed in the prime nonwords\u2014ersheet did not yield any time saving in the identification of teacher as compared to either alsheet or obsheet. We take these results to show that \u2013er was not identified as a morpheme in ersheet, thus indicating that suffix identification is position specific. This conclusion is in line with data on interference effects in nonword rejection (Crepaldi, Rastle, & Davis, 2010), and strongly constrains theoretical proposals on how complex words are identified. In particular, because these findings were reported in a masked priming paradigm, they suggest that positional constraints operate early, most likely at a pre\u2013lexical level of morpho\u2013orthographic analysi

    The Deployment of Young Readers´ Visual Attention across Orthographic Strings: The Influence of Stems and Suffixes

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    Published online: 27 Apr 2020The goal of the paper was to investigate whether morphological units – stems and suffixes – influence orthographic processing by modulating visual attention demands to the task. Orthographic processing was measured with a visual one-back task requiring letters to be detected within pseudowords not including stems/suffixes, or containing real stems or real suffixes. Fourth grade children (between 9.5 and 10.5 years old) who read in a transparent orthography of a morphologically rich and agglutinative language (Basque) were tested. The results showed that the presence of morphemes in the strings did not improve letter detection performance though it slightly modulated the distribution of visual attention, showing a bias toward the processing of central letters in the presence of a stem. We suggest that the presence of highly regular and recurrent structures prioritizes stem identification, which when achieved, reduces visual attention deployment across the remaining letters.The authors acknowledge financial support from the Basque Government (PRE_2015_2_0049 to A. A.), the European Research Council (ERC-2011-ADG-295362 to M.C.), the Spanish Ministry of Economy and Competitiveness (PSI20153653383P to M.L., PSI20153673533R to M. C, and SEV-2015-490 awarded to the BCBL through the “Severo Ochoa Program for Centers/Units of Excellence in R&D”). This research is also supported by the Basque Government through the BERC 2018-2021

    The fruitless effort of growing a fruitless tree: Early morpho.orthographic and morpho-semantic effects in sentence reading

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    In this eye-tracking study, we investigated how semantics inform morphological analysis at the early stages of visual word identification in sentence reading. We exploited a feature of several derived Italian words, that is, that they can be read in a \u201cmorphologically transparent\u201d way or in a \u201cmorphologically opaque\u201d way according to the sentence context to which they belong. This way, each target word was embedded in a sentence eliciting either its transparent or opaque interpretation. We analyzed whether the effect of stem frequency changes according to whether the (very same) word is read as a genuine derivation (transparent context) vs. as a pseudo-derived word (opaque context). Analysis of the first fixation durations revealed a stem-word frequency effect in both opaque and transparent contexts, thus showing that stems were accessed whether or not they contributed to word meaning, that is, word decomposition is indeed blind to semantics. However, while the stem-word frequency effect was facilitatory in the transparent context, it was inhibitory in the opaque context, thus showing an early involvement of semantic representations. This pattern of data is revealed by words with short suffixes. These results indicate that derived and pseudo-derived words are segmented into their constituent morphemes also in natural reading; however, this blind- to-semantics process activates morpheme representations that are semantically connote

    Lexical database enrichment through semi-automated morphological analysis

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    Derivational morphology proposes meaningful connections between words and is largely unrepresented in lexical databases. This thesis presents a project to enrich a lexical database with morphological links and to evaluate their contribution to disambiguation. A lexical database with sense distinctions was required. WordNet was chosen because of its free availability and widespread use. Its suitability was assessed through critical evaluation with respect to specifications and criticisms, using a transparent, extensible model. The identification of serious shortcomings suggested a portable enrichment methodology, applicable to alternative resources. Although 40% of the most frequent words are prepositions, they have been largely ignored by computational linguists, so addition of prepositions was also required. The preferred approach to morphological enrichment was to infer relations from phenomena discovered algorithmically. Both existing databases and existing algorithms can capture regular morphological relations, but cannot capture exceptions correctly; neither of them provide any semantic information. Some morphological analysis algorithms are subject to the fallacy that morphological analysis can be performed simply by segmentation. Morphological rules, grounded in observation and etymology, govern associations between and attachment of suffixes and contribute to defining the meaning of morphological relationships. Specifying character substitutions circumvents the segmentation fallacy. Morphological rules are prone to undergeneration, minimised through a variable lexical validity requirement, and overgeneration, minimised by rule reformulation and restricting monosyllabic output. Rules take into account the morphology of ancestor languages through co-occurrences of morphological patterns. Multiple rules applicable to an input suffix need their precedence established. The resistance of prefixations to segmentation has been addressed by identifying linking vowel exceptions and irregular prefixes. The automatic affix discovery algorithm applies heuristics to identify meaningful affixes and is combined with morphological rules into a hybrid model, fed only with empirical data, collected without supervision. Further algorithms apply the rules optimally to automatically pre-identified suffixes and break words into their component morphemes. To handle exceptions, stoplists were created in response to initial errors and fed back into the model through iterative development, leading to 100% precision, contestable only on lexicographic criteria. Stoplist length is minimised by special treatment of monosyllables and reformulation of rules. 96% of words and phrases are analysed. 218,802 directed derivational links have been encoded in the lexicon rather than the wordnet component of the model because the lexicon provides the optimal clustering of word senses. Both links and analyser are portable to an alternative lexicon. The evaluation uses the extended gloss overlaps disambiguation algorithm. The enriched model outperformed WordNet in terms of recall without loss of precision. Failure of all experiments to outperform disambiguation by frequency reflects on WordNet sense distinctions

    DEVELOPMENT OF BIOINFORMATICS TOOLS AND ALGORITHMS FOR IDENTIFYING PATHWAY REGULATORS, INFERRING GENE REGULATORY RELATIONSHIPS AND VISUALIZING GENE EXPRESSION DATA

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    In the era of genetics and genomics, the advent of big data is transforming the field of biology into a data-intensive discipline. Novel computational algorithms and software tools are in demand to address the data analysis challenges in this growing field. This dissertation comprises the development of a novel algorithm, web-based data analysis tools, and a data visualization platform. Triple Gene Mutual Interaction (TGMI) algorithm, presented in Chapter 2 is an innovative approach to identify key regulatory transcription factors (TFs) that govern a particular biological pathway or a process through interaction among three genes in a triple gene block, which consists of a pair of pathway genes and a TF. The identification of key TFs controlling a biological pathway or a process allows biologists to understand the complex regulatory mechanisms in living organisms. TF-Miner, presented in Chapter 3, is a high-throughput gene expression data analysis web application that was developed by integrating two highly efficient algorithms; TF-cluster and TF-Finder. TF-Cluster can be used to obtain collaborative TFs that coordinately control a biological pathway or a process using genome-wide expression data. On the other hand, TF-Finder can identify regulatory TFs involved in or associated with a specific biological pathway or a process using Adaptive Sparse Canonical Correlation Analysis (ASCCA). Chapter 4 presents ExactSearch; a suffix tree based motif search algorithm, implemented in a web-based tool. This tool can identify the locations of a set of motif sequences in a set of target promoter sequences. ExactSearch also provides the functionality to search for a set of motif sequences in flanking regions from 50 plant genomes, which we have incorporated into the web tool. Chapter 5 presents STTM JBrowse; a web-based RNA-Seq data visualization system built using the JBrowse open source platform. STTM JBrowse is a unified repository to share/produce visualizations created from large RNA-Seq datasets generated from a variety of model and crop plants in which miRNAs were destroyed using Short Tandem Target Mimic (STTM) Technology

    Speech Recognition for Agglutinative Languages

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    An Optimality Theory Account of the Non-concatenative Morphology of the Nominal System of Libyan Arabic, with Special Reference to the Broken Plural

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    This work presents a full and unified investigation of the phenomenon of non-concatenative nominal morphology in Libyan Arabic (LA), with special reference to the formation of the broken plural (BP). The analysis provides a morphophonological account of morphologically derived words in LA. It is based on two main ideas: the first is specifying the input for the derivational morphological process which represents the underlying structure of the derived word; the second is to account for the phonological constraints which interact with each other on the underlying structure in order to determine the optimal output for the derived word. In contrast to previous studies which fail to recognize derivational morphological processes and consequently cannot identify the nature of the input of the derived word, this thesis identifies the input as the starting point to justify the resulting derived output. This thesis argues that the nature of the input in non-concatenative morphology must be accounted for first. The morphological process starts when elements of the input which are carried over to the output are identified, and the specified derivational morphemes are supplied. These together form the underlying structure of any derived word. The underlying structure of the derived word in this thesis is considered to be the string of root consonants and any morphological component associated with the input, plus the derivational morphemes of the intended morphological process. As a consequence of identifying the nature of the input, the template which has been associated with Arabic language, is revealed in this thesis that it is not a primitive but rather it is an artefact of the phonology operating on morphological products. Thus, phonology has no role in the underlying structure, but comes into play to repair any ill-formed surfaced structure. The types of constraints which operate on the outputs are phonological constraints concerning markedness and faithfulness constraints. The function of markedness constraints is to maintain the well-formedness of the output, while the function of faithfulness constraints is to preserve the morphological identity of the components of the underlying structure
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