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Red riječi u smješnicama
(2014)
U radu se promatra i analizira red riječi u rečenici u hrvatskim anonimnim komedijama u prozi nastalim u 17. stoljeću na dubrovačkom području. Rezultati se analize uspoređuju s redom riječi potvrđenim u onodobnom književnom jeziku. Sinkronijskom su prikazu pridružene i usporedbe s rezultatima istraživanja Laznibata o dubrovačkim arhivskim spisima 17. i 18. stoljeća i I. Lovrić Jović o dubrovačkim oporukama iz istog tog razdoblja, dok je dijakronijski pregled napravljen usporedbom s Rešetarovim istraživanjima jezika Ranjinina zbornika i Držićeva jezika, s istraživanjem frančezarija 18. stoljeća I. Lovrić Jović te s Budmanijevim istraživanjem devetnaestostoljetnoga dubrovačkoga govora. Posebna se pozornost posvećuje poretku zanaglasnica, koji je, kao što je bilo očekivano, uglavnom stariji pa zamjenička zanaglasnica prethodi glagolskoj, no ovisno o smješnici, potvrđena su i brojna odstupanja.
Gornjolonjskomu dijalektu svojstveno je nekoliko temeljnih obilježja koja ga izdvajaju u posebnu cjelinu unutar kajkavskoga narječja. U ovome se radu na temelju dosadašnjih istraživanja ponajviše zelinskih i vrbovečkih govora toga dijalekta i objavljenih članaka (Kalinski, Lončarić, Šojat) opisuju osnovna jezična obilježja gornjolonjskoga dijalekta: fonološka (vokalizam, konzonantizam, prozodija), morfološka (promjenjive i nepromjenjive riječi), sintaktička (sintaksa padeža i glagolskih vremena, s primjerima vrbovečkih govora) i leksička.
Recent research suggests that the brain routinely binds together information from gesture and speech. However, most of this research focused on the integration of representational gestures with the semantic content of speech. Much less is known about how other aspects of gesture, such as emphasis, influence the interpretation of the syntactic relations in a spoken message. Here, we investigated whether beat gestures alter which syntactic structure is assigned to ambiguous spoken German sentences. The P600 component of the Event Related Brain Potential indicated that the more complex syntactic structure is easier to process when the speaker emphasizes the subject of a sentence with a beat. Thus, a simple flick of the hand can change our interpretation of who has been doing what to whom in a spoken sentence. We conclude that gestures and speech are integrated systems. Unlike previous studies, which have shown that the brain effortlessly integrates semantic information from gesture and speech, our study is the first to demonstrate that this integration also occurs for syntactic information. Moreover, the effect appears to be gesture-specific and was not found for other stimuli that draw attention to certain parts of speech, including prosodic emphasis, or a moving visual stimulus with the same trajectory as the gesture. This suggests that only visual emphasis produced with a communicative intention in mind (that is, beat gestures) influences language comprehension, but not a simple visual movement lacking such an intention.
The paper considers the interdependence between word order, congruence and formal cases – the means which, together with lexical meaning and formal class markers, explicate the concrete syntactic relations in a sentence. There are languages (including the Slavic ones) in whose structure congruence is very important. They may or may not possess formal cases. Even if they have no formal cases their word order is relatively free due to the compensatory role of congruence, which is often, but not always, able to eliminate potential ambiguity in the sentence, assisted to a certain extent by animacy, definiteness, pronoun duplicates of the objects and extra-linguistic knowledge (and Modern Bulgarian is good enough to illustrate this). At the same time, even in congruence languages with formal cases there are strict word order rules. In both kinds of congruence languages the violation of these rules can make a sentence utterly unintelligible (the last is exemplified by a couple of lines from Spanish and Ukrainian poetry).
This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancient Mesopotamia and its surrounding regions. Assyriology, the discipline dedicated to their study, has vast research potential, but lacks the modern means for computational processing and analysis. Our project, Machine Translation and Automated Analysis of Cuneiform Languages, aims to fill this gap by bringing together corpus data, lexical data, linguistic annotations and object metadata. The project’s main goal is to build a pipeline for machine translation and annotation of Sumerian Ur III administrative texts. The rich and structured data is then to be made accessible in the form of (Linguistic) Linked Open Data (LLOD), which should open them to a larger research community. Our contribution is two-fold: in terms of language technology, our work represents the first attempt to develop an integrative infrastructure for the annotation of morphology and syntax on the basis of RDF technologies and LLOD resources. With respect to Assyriology, we work towards producing the first syntactically annotated corpus of Sumerian.