Search Results (10)

Children’s ability to infer meanings of unfamiliar words during reading is thought to rely on the interplay between decoding, morphological awareness, contextual support, and vocabulary knowledge, but it remains unclear how these sources operate in typically developing (TD) readers compared to those with developmental dyslexia (DD). This study examined whether morphological cues (suffixes) or/and contextual information facilitate meaning inference and which variables predict performance. Sixty children (30 TD, 30 DD; aged 9–12) completed a battery of tasks assessing pseudoword decoding, expressive vocabulary (breadth) synonyms, antonyms (depth), morphological awareness (deriving and decomposing words), and reading comprehension. The main inference task consisted of 20 short stories in which pseudowords replaced target words; in half the stories, pseudowords included derivational suffixes, while in the other half no such clues were available. Results showed that TD children performed significantly better than DD peers across all tasks. Regression analyses revealed that vocabulary depth and morphological awareness predicted inferencing in both groups, but decoding was uniquely predictive for DD children and reading comprehension only for TD children. These findings suggest that while lexical inference in both groups appears to draw on vocabulary and morphology, TD children may additionally integrate higher-order comprehension, whereas DD children seem to remain more influenced by decoding and partial lexical cues. Full article

This study investigates the colloquial expression ʔinno that serves as a complementizer (C) and a discourse marker (DM) in Jordanian Arabic (JA). The data includes (422) instances of ʔinno collected from social media conversations of (60) JA speakers. The analysis shows that for ʔinno as a (C), there are (259) instances that are used to introduce subordinate clauses, and it is inflected with pronoun suffixes that specify person, gender, and number. It also serves various functions in verbal and nominal sentences. As a DM, Ɂinno are (163) instances that appear in the middle of sentences between two propositions. A list of contexts is developed featuring Ɂinno in JA. The pragmatic functions of Ɂinno are determined in each situation and validated by an Acceptability Judgment Task which is completed by 20 native speakers of JA. The pragmatic functions of ʔinno fall into six primary categories with sub-functions, such as explanatory functions (like giving reasons or expressing results), elaborative functions (including elaboration and giving examples and clarification), emotional and assessment functions (such as expressing surprise or criticism), emphatic and assertive functions (for emphasizing or warning), epistemic and uncertainty functions (covering hesitation and hedging), and a turn-taking function (specifically urging for continuity). This study concludes that Ɂinno is well established among social media users in the Jordanian context and the varied contexts play a vital role in exploring its pragmatic and syntactic functions. Full article

Differential Object Marking (DOM) is a cross-linguistic phenomenon in which the overt marking of direct objects of certain transitive verbs exhibits distinct morpho-syntactic properties. In Turkish, DOM is realized by the accusative suffix -(y)I and is considered to be determined by parameters such as referentiality/specificity, affectedness, and topicality. In addition, Enç argues that discourse-linking, which is a backward-looking discourse function, is another relevant parameter. In this paper, we investigate whether DOM also serves a forward-looking discourse function, which has remained underexplored. Using corpus studies and offline experiments, we investigate the forward discourse function of DOM in Turkish by analyzing the frequency of anaphoric expressions referring to the direct object with vs. without DOM. Corpus data show that non-modified human indefinite direct objects with DOM are taken up significantly more often in the subsequent discourse than those without DOM. However, forced-choice and paragraph continuation tasks do not support these observations. We evaluate various parameters that might contribute to the discourse prominence of direct objects with DOM and those that might mask such effects. We conclude that there is some corpus evidence that DOM contributes to a forward-looking discourse function, though our experimental methods may be inadequate to capture it. Full article

People use natural language to express their thoughts and wishes. As robots reside in various human environments, such as homes, offices, and hospitals, the need for human–robot communication is increasing. One of the best ways to achieve this communication is the use of natural languages. Natural language processing (NLP) is the most important approach enabling robots to understand natural languages and improve human–robot interaction. Also, due to this need, the amount of research on NLP has increased considerably in recent years. In this study, commands were given to a multiple-mobile-robot system using the Turkish natural language, and the robots were required to fulfill these orders. Turkish is classified as an agglutinative language. In agglutinative languages, words combine different morphemes, each carrying a specific meaning, to create complex words. Turkish exhibits this characteristic by adding various suffixes to a root or base form to convey grammatical relationships, tense, aspect, mood, and other semantic nuances. Since the Turkish language has an agglutinative structure, it is very difficult to decode its sentence structure in a way that robots can understand. Parsing of a given command, path planning, path tracking, and formation control were carried out. In the path-planning phase, the A* algorithm was used to find the optimal path, and a PID controller was used to follow the generated path with minimum error. A leader–follower approach was used to control multiple robots. A platoon formation was chosen as the multi-robot formation. The proposed method was validated on a known map containing obstacles, demonstrating the system’s ability to navigate the robots to the desired locations while maintaining the specified formation. This study used Turtlebot3 robots within the Gazebo simulation environment, providing a controlled and replicable setting for comprehensive experimentation. The results affirm the feasibility and effectiveness of employing NLP techniques for the formation control of multiple mobile robots, offering a robust and effective method for further research and development on human–robot interaction. Full article

This paper discusses how pluractionality is expressed in Macuxi (Cariban), a South American Indigenous language spoken in Brazil, Guyana and Venezuela. Cross-linguistically, the multiplicity of an action can be expressed by means of specialized pluractional morphemes affixed on verbs, via adverbs, or by reduplication. Previous work on Macuxi claimed that the iterative suffix -pîtî indicates a multiplicity of actions, whereas verbal reduplication is mentioned but scarcely described, and is associated with the interpretation of multiple events. Based on data from context-based elicitation, we show that verbal reduplication is impacted by Aktionsart (activity and semelfactive verbs, which denote unbounded, atelic events, have a higher tendency to be reduplicated) and that reduplicated verbs are often associated with an intensity interpretation. On the other hand, the suffix -pîtî functions as a pluractional marker that encodes a multiplicity of events and is predictable via a Lasersohnian analysis. Full article

The Chinese language has witnessed remarkable changes in the past several decades, marked by a rapid rise of new words, frequent innovation of pseudo-affixes, and a notable increase in word length. By analyzing the creation, spread, and expansion of the new word 健康码 Jiankang-ma “health QR code”, this study sheds light on how language change takes place and how nonce formation is brought into being. Following the explosion of COVID-19 in China, 健康码 Jiankang-ma “health QR code” was created and promoted by the local and central governments and subsequently generated a large XX-码 XX-ma “XX-code” word family through various morphological processes, such as abbreviation, clipping, derivation, and analogy, where -码 -ma “-code” has acquired some new meaning distinct from its original form as a bound root. Linguistically, 健康码 Jiankang-ma “health QR code” is a three-morpheme word in a 2 + 1 length pattern, which phonologically consists of a single super foot that makes the expression catchy and appealing. The highly productive AB-C internal structure makes -码 -ma “-code”, although not yet a fully grammaticalized affix, a strong pseudo-suffix that has high morphological productivity with a fixed suffix positioning. Given the high frequency of the lexical 码 ma “code” in contemporary Chinese language use, the pseudo-suffix -码 -ma “-code” may, however, not completely replace it in the long run, as principles of grammaticalization theories predict. Instead, it is likely that both the lexical 码ma “code” and the pseudo-suffix -码 -ma “-code” will coexist side by side along split pathways. Full article

There are two main approaches to change of state verbs. One adopts an approach in terms of a total change (becomeP, for base predicate P), i.e., a change from not being in the extension of the base predicate to being in it. The other adopts an approach in terms of a relative change (becomemore P, for base predicate P), i.e., a change for a theme in which it increases in the extent to which it holds the property denoted by the base predicate. Different languages have been analyzed using one or the other approach. I argue that both proposals are actually appropriate for analyzing related but not (completely) overlapping phenomena in the domain of derived change of state verbs in the very same language. This proposal is based on the discussion of change of state verbs in Southern Aymara that are derived with the suffixes -pta and -ra. I show that verbs with -pta convey the meaning of total change and that verbs with -ra convey the meaning of relative change. I further discuss how expressions with -pta and -ra interact: expressions with -ra implicate that the theme does not change from not being in the extension of the base to being in it. I propose an account in terms of scalar implicatures in which -pta and -ra are lexical alternatives, thus extending the domain of linguistic phenomena for which the computation of scalar implicatures is relevant. Full article

Text indexing is a classical algorithmic problem that has been studied for over four decades: given a text T, pre-process it off-line so that, later, we can quickly count and locate the occurrences of any string (the query pattern) in T in time proportional to the query’s length. The earliest optimal-time solution to the problem, the suffix tree, dates back to 1973 and requires up to two orders of magnitude more space than the plain text just to be stored. In the year 2000, two breakthrough works showed that efficient queries can be achieved without this space overhead: a fast index be stored in a space proportional to the text’s entropy. These contributions had an enormous impact in bioinformatics: today, virtually any DNA aligner employs compressed indexes. Recent trends considered more powerful compression schemes (dictionary compressors) and generalizations of the problem to labeled graphs: after all, texts can be viewed as labeled directed paths. In turn, since finite state automata can be considered as a particular case of labeled graphs, these findings created a bridge between the fields of compressed indexing and regular language theory, ultimately allowing to index regular languages and promising to shed new light on problems, such as regular expression matching. This survey is a gentle introduction to the main landmarks of the fascinating journey that took us from suffix trees to today’s compressed indexes for labeled graphs and regular languages. Full article

In this paper, based on the multilingual morphological analyzer, we researched the similar low-resource languages, Uyghur and Kazakh, short text classification. Generally, the online linguistic resources of these languages are noisy. So a preprocessing is necessary and can significantly improve the accuracy. Uyghur and Kazakh are the languages with derivational morphology, in which words are coined by stems concatenated with suffixes. Usually, terms are used as the representation of text content while excluding functional parts as stop words in these languages. By extracting stems we can collect necessary terms and exclude stop words. Morpheme segmentation tool can split text into morphemes with 95% high reliability. After preparing both word- and morpheme-based training text corpora, we apply convolutional neural network (CNN) as a feature selection and text classification algorithm to perform text classification tasks. Experimental results show that the morpheme-based approach outperformed the word-based approach. Word embedding technique is frequently used in text representation both in the framework of neural networks and as a value expression, and can map language units into a sequential vector space based on context, and it is a natural way to extract and predict out-of-vocabulary (OOV) from context information. Multilingual morphological analysis has provided a convenient way for processing tasks of low resource languages like Uyghur and Kazakh. Full article

This article presents a syntactic analysis and comparison of diminutive suffixes in Russian, Kolyma Yukaghir, and Itelmen, three genetically unrelated languages of the Russian Federation. Kolyma Yukaghir and Itelmen are on the verge of extinction. This article investigates how contact with Russian (specifically the syntax of Russian diminutives) has influenced the syntax of diminutives in Kolyma Yukaghir and Itlemen. Adopting the framework of Distributed Morphology, a syntactic analysis of diminutives across the three languages reveals that they share the same manner of syntactic attachment, but differ in regards to the site or place of attachment. Specifically, it is proposed that diminutives in all three languages are syntactic modifiers; however, in relation to the place of attachment, in Russian, diminutives attach below the functional category of Number, while diminutives in Kolyma Yukaghir and Itelmen attach above the Number category. This article contributes to our understanding of variation in universal grammar and linguistic outcomes of the syntactic feature ‘diminutive’ in a multilingual situation where a majority language is in contact with two genetically unrelated endangered languages. Full article