Syntactic Ambiguity Research Articles

Rendering English Structural Ambiguity into Arabic and the Role of Transformational Syntax along with Arabic Morphology

Rendering English Structural Ambiguity into Arabic and the Role of Transformational Syntax along with Arabic Morphology

A-maze of Natural Stories: Comprehension and surprisal in the Maze task

Behavioral measures of word-by-word reading time provide experimental evidence to test theories of language processing. A-maze is a recent method for measuring incremental sentence processing that can localize slowdowns related to syntactic ambiguities in individual sentences. We adapted A-maze for use on longer passages and tested it on the Natural Stories corpus. Participants were able to comprehend these longer text passages that they read via the Maze task. Moreover, the Maze task yielded useable reaction time data with word predictability effects that were linearly related to surprisal, the same pattern found with other incremental methods. Crucially, Maze reaction times show a tight relationship with properties of the current word, with little spillover of effects from previous words. This superior localization is an advantage of Maze compared with other methods. Overall, we expanded the scope of experimental materials, and thus theoretical questions, that can be studied with the Maze task.

An Overview of Context Capturing Techniques in NLP

In the NLP context identification has become a prominent way to overcome syntactic and semantic ambiguities. Ambiguities are unsolved problems but can be reduced to a certain level. This ambiguity reduction helps to improve the quality of several NLP processes, such as text translation, text simplification, text retrieval, word sense disambiguation, etc. Context identification, also known as contextualization, takes place in the preprocessing phase of NLP processes. The essence of this identification is to uniquely represent a word or a phrase to improve the decision-making during the transfer phase of the NLP processes. The improved decision-making helps to improve the quality of the output. This paper tries to provide an overview of different context-capturing mechanisms used in NLP.

The arch. Crisis and its form

The arch, a favourite form of world architecture, is analysed in terms of its phenomenology, genesis and meanings. There is a thesis about the ambiguity of the arched structure, its initial criticality, which allows us to consider the arch as an architectural symbol of crisis. The popularity of the arch implies that architecture tends to signify states of crisis, to “play” with them, to give any crisis. . . an expressive form.

GSAL: Geometric structure adversarial learning for robust medical image segmentation

Automatic medical image segmentation plays a crucial role in clinical diagnosis and treatment. However, it is still a challenging task due to the complex interior characteristics (e.g., inconsistent intensity, low contrast, texture heterogeneity) and ambiguous external boundary structures. In this paper, we introduce a novel geometric structure learning mechanism (GSLM) to overcome the limitations of existing segmentation models that lack learning ”focus, path, and difficulty.” The geometric structure in this mechanism is jointly characterized by the skeleton-like structure extracted by the mask distance transform (MDT) and the boundary structure extracted by the mask distance inverse transform (MDIT). Among them, the skeleton-like and boundary pay attention to the trend of interior characteristics consistency and external structure continuity, respectively. With this idea, we design GSAL, a novel end-to-end geometric structure adversarial learning for robust medical image segmentation. GSAL has four components: a geometric structure generator, which yields the geometric structure to learn the most discriminative features that preserve interior characteristics consistency and external boundary structure continuity, skeleton-like and boundary structure discriminators, which enhance and correct the characterization of internal and external geometry to mutually promote the capture of global contextual dependencies, and a geometric structure fusion sub-network, which fuses the two complementary and refined skeleton-like and boundary structures to generate the high-quality segmentation results. The proposed approach has been successfully applied to three different challenging medical image segmentation tasks, including polyp segmentation, COVID-19 lung infection segmentation, and lung nodule segmentation. Extensive experimental results demonstrate that the proposed GSAL achieves favorably against most state-of-the-art methods under different evaluation metrics. The code is available at: https://github.com/DLWK/GSAL.

I saw a movie with Brad Pitt – Using pencils to learn syntax

This paper presents a research project conducted on four second-year English classes (approximately 110 students) at Sorbonne Nouvelle University (Paris, France) in 2021/2022. This project was motivated by the realization that students were struggling to understand the opposition between linearity and syntax and to grasp the basic syntax of noun phrases in English. This difficulty can be explained by two reasons: the students were not engaged in the learning process because they did not clearly understand what they had to learn about syntax; and what was expected of them – demonstrating their understanding of noun phrase structure by adding brackets – was beyond their reach.The authors assumed that a non-verbal modality such as drawing could serve as a first step in understanding the opposition between syntax and linearity. They hypothesized that offering more than one modality to demonstrate one’s understanding of noun phrase structure would address both difficulties: engaging the students and helping them achieve the learning outcomes. To that effect, they designed an activity that introduced the concept of syntactic ambiguity and that was both engaging and multimodal. Students were presented with syntactically ambiguous sentences such as "I saw a movie with Brad Pitt" and were asked to:• discuss the two possible interpretations in their own words, i.e., produce a gloss;• draw the two possible interpretations of the sentence; • add a follow-up sentence to clarify the context;• bracket the noun phrases to make the syntactic pattern visible.A satisfaction questionnaire was completed by 93 students at the end of the session and 111 midterm exam papers were collected for analysis.The results tend to prove that the original hypothesis was valid. Offering an array of mediums, including drawing, to describe the syntax of noun phrases made students feel confident and engaged. However, the lesson plan should also include activities that help students transition towards verbal expression as university students are expected to exhibit understanding in words.

Sacred, Communal or Private “Oikoi”? Ambivalent edifices of the Archaic period on the island of Despotiko in the Cyclades

In the frame of the Research Project Sacred, Public or Private Buildings? Ambiguous sites and structures in the Early Cyclades, a strict methodology has been adopted, aiming at deciphering the “character” of a number of buildings. The adopted methodology has been based on the detailed documentation of the architectural remains and the related finds. In the former case, the photogrammetry of the buildings, including ground plans and wall sections, has been combined with a structural analysis mainly involving the descriptive representation of the architectural remains and the examination of the techniques and materials used during the construction process. The various types of finds from each building have not been only classified according to their types, but an emphasis has been placed on their spatial distribution revealed through the use of the Geographic Information System (GIS). On this basis, a synthetic study both of the architectural remains and of the artefacts in their original context was possible, elucidating the function of the selected buildings and their components. At the same time, a list of material correlates was created to provide a basis as secure as possible for designating each building’s “character”.

Multifaceted Dimensions of Ambiguity in English

Language is an effective means of communication. Words, phrases, and sentences are the standard units of a language. Every word is associated with a particular meaning/sense. Sometimes the meaning of a word undergoes a change, depending on the context or the structure. This triggers ambiguity. When a word, a phrase or a sentence is said to have more than one meaning or multiple meaning, they are said to be ambiguous. Homophonous or polysemous words can give rise to ambiguity depending on the context. There are various types of ambiguity in English. They include lexical ambiguity, syntactic/structural ambiguity, pragmatic ambiguity, phonological ambiguity, scope ambiguity, anaphoric/ referential ambiguity, semantic ambiguity, etc. Lexical ambiguity arises due to polysemous words. Structural ambiguity occurs when a phrase, clause or a sentence possesses more than one meaning. Phonological ambiguity arises when homophonous words—words having identical sounds –are used. Anaphoric ambiguity is perceived when there is more than one potential antecedent in the text. Scope ambiguity is found when a structure has two or more than two quantifiers or floating quantifiers and conveys more than one meaning. When the functional value of a phrase or a sentence changes, we find pragmatic ambiguity. When a sentence or a structure has more than two meanings, it contains multiple ambiguity. Ambiguous words lend a spicy dimension to the use and application of the language. Ambiguous words or phrases or sentences present in a text enhance the value of the text. Ambiguous words, phrases, and sentences are interesting and entertaining. Ambiguity tests our sophisticated cognitive skills for disambiguating. This disambiguation imparts pleasure to us. Ambiguity can assess our competence in the language. It tests the skill of comprehension. We enjoy disambiguating words, phrases and sentences in English from the core of our heart, and our disambiguating these whets our competence in the language.

Whence the Womb?

Abstract In John 7:38, Jesus makes the proclamation ποταµοὶ ἐκ τῆς κοιλίας αὐτοῦ ῥεύσουσιν ὕδατος ζῶντος. Among a variety of other issues—textual problems, ambiguous syntax, and an unclear scriptural referent—an enduring problem for translators has been the word κοιλία. Here, the author argues that the most natural meaning for κοιλία in this context is “womb.” Although governed by the masculine possessive pronoun αὐτοῦ, κοιλία’s most common NT meaning is “womb,” and a survey of Greek literature corroborates “womb” as a viable translation, and preferable to the alternatives in standard Bible translations (such as “heart,” “belly,” or “side”). Reading John 7:38’s κοιλία as “womb” is supported by the immediate context and literary background and sheds further light on the Gospel’s themes of rebirth.

Rational design of heterogenized molecular phthalocyanine hybrid single-atom electrocatalyst towards two-electron oxygen reduction

Single-atom catalysts supported on solid substrates have inspired extensive interest, but the rational design of high-efficiency single-atom catalysts is still plagued by ambiguous structure determination of active sites and its local support effect. Here, we report hybrid single-atom catalysts by an axial coordination linkage of molecular cobalt phthalocyanine with carbon nanotubes for selective oxygen reduction reaction by screening from a series of metal phthalocyanines via preferential density-functional theory calculations. Different from conventional heterogeneous single-atom catalysts, the hybrid single-atom catalysts are proven to facilitate rational screening of target catalysts as well as understanding of its underlying oxygen reduction reaction mechanism due to its well-defined active site structure and clear coordination linkage in the hybrid single-atom catalysts. Consequently, the optimized Co hybrid single-atom catalysts exhibit improved 2e− oxygen reduction reaction performance compared to the corresponding homogeneous molecular catalyst in terms of activity and selectivity. When prepared as an air cathode in an air-breathing flow cell device, the optimized hybrid catalysts enable the oxygen reduction reaction at 300 mA cm−2 exhibiting a stable Faradaic efficiency exceeding 90% for 25 h.

ParsingPhrase: Parsing-based automated quality phrase mining

Phrases represent independent semantics in natural language but usually have indeterminate lengths and different combinations. So, extracting meaningful phrases from unstructured texts will substantially reduce semantic ambiguity and lay the foundation for downstream natural language tasks. Most existing research obtains candidate phrases by N-grams, which includes meaningless word sequences and degrades algorithm performance. In this paper, we propose a novel phrase-mining algorithm, called ParsingPhrase, which effectively extracts combination phrases from text and improves phrase quality by syntactic features. It consists of three stages. Firstly, all sentences in texts are represented as parsing trees by PCFG (Probabilistic Context-Free Grammar). We propose PBMP (Parsing-Based Phrase mining) to obtain candidate phrases from those parsing trees. Then, we introduce a new phrase evaluation indicator, called Significance, that relies on the role of phrases to measure their importance. We integrate the Significance with conventional evaluation indexes for a more reasonable phrase evaluation. Finally, we optimize the phrase quality again by exploiting the optimal phrase composition features of sentences. To the best of our knowledge, it is the first work to employ parsing for combination phrase mining and evaluation, meanwhile offering a solution for syntactic disambiguation. Experiments on three real corpora demonstrate that the ParsingPhrase exceeds state-of-the-art baselines, is 7% higher in the candidate phrase conversion rate, and is 6% better in terms of Precision.

Electrically Switchable Persistent Spin Texture in a Two‐Dimensional Hybrid Perovskite Ferroelectric

AbstractAs a momentum‐independent spin configuration, persistent spin texture (PST) could avoid spin relaxation and play an advantageous role in spin lifetime. Nevertheless, manipulation of PST is a challenge due to the limited materials and ambiguous structure–property relationships. Herein, we present electrically switchable PST in a new 2D perovskite ferroelectric, (PA)2CsPb2Br7 (where PA is n‐pentylammonium), which has a high Curie temperature of 349 K, evident spontaneous polarization (3.2 μC cm−2) and a low coercive electric field of 5.3 kV cm−1. The combination of symmetry‐breaking in ferroelectrics and effective spin‐orbit field facilitates intrinsic PST in the bulk and monolayer structure models. Strikingly, the directions of spin texture are reversible by switching the spontaneous electric polarization. This electric switching behavior relates to the tilting of PbBr6 octahedra and the reorientation of organic PA+ cations. Our studies on ferroelectric PST of 2D hybrid perovskites afford a platform for electrical spin texture manipulation.

Predicted bismuth–tellurium under high pressures

ABSTRACT The high-pressure structures of the Bi–Te system were theoretically predicted by this work, which also clarified some ambiguous structures. Using variable-composition evolutionary algorithms, the crystal structures of the Bi–Te system at high pressures were searched, and one new stable structure BiTe-P-1 was proposed. BiTe-P-1 was discovered to be the experiment's undetected structure by comparing with the experimental XRD. Thereafter, the pressure-composition diagram of the Bi–Te system was calculated using the first-principles method. In contrast to previous reports, Bi2Te3 only had two high-pressure structures, R-3m and C2/m, and it would decompose into BiTe and Te at 13.4 GPa. The calculation of quasi-harmonic approximation shown that the BCC alloy phase of Bi2Te3 only could exist stably under high temperature and high pressure. For BiTe, The phase transition route was P-3m1 → P-1 → Pm-3m, and the transition pressure was 7.5 and 11.2 GPa, respectively.

Reiterative Code-Switching: Argument-Marking in Cena

Situations of language contact are often the norm for sign languages. This article investigates a case of unimodal contact between Cena, a young sign language in its third generation that is used in a small rural community in Brazil, and Libras, the national sign language of Brazil. Our analysis concerns one by-product of this contact: reiterative code-switches, wherein signers produce a sequence of two signs—one from each language—with the same meaning to label a single referent. We consider several motivations detailed in existing literature on code-switching, before proposing an explanation motivated by the disambiguation of reversible (therefore potentially ambiguous) verb events, primarily by using reiteration to focus agents. We suggest that with this phenomenon, we see signers employ a previously unattested strategy to mark arguments and thereby aid syntactic disambiguation.

THE EFFECTS OF AGE, PRESENTATION MODE (ONLINE, OFFLINE), AND SEGMENTATION OF AMBIGUOUS SENTENCES ON ATTACHMENT PREFERENCES OF FEMALE EFL LEARNERS

One kind of structural ambiguity is in sentences including two determiner phrases (DP) that are followed by a relative clause (RC). One example of this type of ambiguity is "Somebody shot the servant of the actress who was on the balcony". Speakers of different languages attribute RC either to DP1 or DP2. The goal of this study was to investigate the relationship between participants' age and participants' attachment preferences, as well as different ways of presenting the material (i.e., offline vs. online) on the attachment preferences. This study also aims to see if the segmentation of experimental sentences plays any role in participant attachment preferences. To this end, a sample of 50 female native speakers of Persian ranging between 15 to 25 years participated in this study. The instruments used in the present research include an offline sentence acceptability judgment test and main tests that included the first main test, offline test, online complete presentation (timed), and an online segment-by-segment sentence. For the analysis of data t-tests and ANOVA were used. The statistics showed that participants' age affects attachment preferences, and adolescents have a tendency toward DP1 selection. Different modes of presenting ambiguous sentences also affected the results; presenting materials in a self-paced online method leads to a significant difference other two modes. Finally, segmentation plays a role in the attachment preference of RC and in resolving ambiguous sentences. The results showed that students had a preference for segmented presentation rather than a holistic mode of presentation.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0029/a.php" alt="Hit counter" /></p>

Assessing Iraqi University Students’ Ability to Interpret Structural Ambiguity

This research is devoted to study the structural ambiguity. By definition, ambiguity is a linguistic phenomenon in which a given text has more than one meaning or interpretation. Thus, this study aims for:
 
 1. Assessing Iraqi university students’ ability to interpret structural ambiguity at colleges of education/ English departments in three universities Tikrit, Kirkuk, and Al-Anbar.
 2. Finding out the comparison of the students’ ability to interpret structural ambiguity at both the recognition and production levels at the three universities: Tikrit, Kirkuk, and Al-Anbar.
 
 The participants were three hundred and seventy-five undergraduate students in the fourth year of study in the Departments of English, Colleges of Education, University of Tikrit, University of Kirkuk, and University of Al-Anbar. The research was conducted during the first semester of the academic year 2021-2022. The data was gathered by using a diagnostic test to assess students’ ability to interpret structural ambiguity. The results of the study revealed that there are statistically significant differences among Iraqi university students’ ability to interpret structural ambiguity.

Philosophical Interpretation of Lexical and Sentential Ambiguity in English-Arabic Translation

Translation debates have continued to be passionately argued. The study of the connection between philosophy and translation on the one hand and ambiguity in translation on the other hand have both been growing. The connection between philosophy and translation is unavoidable and inevitable. Notwithstanding, philosophers have not tackled the question of translation directly; translation in general has been tackled indirectly by some philosophers. Ambiguity in translation is a fertile field to investigate. Translation of some written sentences is problematic since they are translated from different contexts in culture. This paper aims to (1) study the connection between philosophy and translation on the one hand, and then (2) connect the philosophical interpretation of ambiguous sentences and their effect on the translation from English into Arabic. This paper also aims at (3) discussing the question that is hissing in the translator’s mind in order to translate an ambiguous sentence: whether to lean on syntactic or semantic dis-ambiguation. As a result, this paper hypothesizes that lexemes meaning, interpretation, and thus translation is not only sentence bound but clear cotext and context bound. Therefore, to test this hypothesis, in my research, the study selects some sentences from some research and dictionaries which are believed to be ambiguous. The examples I have selected may not cover all ambiguous English sentences, for ambiguous sentences are still turning up, however, I have tried to cover frequently used sentences. I will look at some common difficulties in the interpretation of lexical items. Then, the ambiguity of these sentences will be removed by using these sentences with the same ambiguous lexemes in clear cotext and context. After removing the ambiguity, the sentences will be translated into Arabic to show the impact of both cotext and context on translation.

Vanadium Oxides with Amorphous-Crystalline Heterointerface Network for Aqueous Zinc-Ion Batteries.

Rechargeable aqueous Zn-VOx batteries are attracting attention in large scale energy storage applications. Yet, the sluggish Zn2+ diffusion kinetics and ambiguous structure-property relationship are always challenging to fulfil the great potential of the batteries. Here we electrodeposit vanadium oxide nanobelts (VO-E) with highly disordered structure. The electrode achieves high capacities (e.g., ≈5 mAh cm-2 , 516 mAh g-1 ), good rate and cycling performances. Detailed structure analysis indicates VO-E is composed of integrated amorphous-crystalline nanoscale domains, forming an efficient heterointerface network in the bulk electrode, which accounts for the good electrochemical properties. Theoretical calculations indicate that the amorphous-crystalline heterostructure exhibits the favorable cation adsorption and lower ion diffusion energy barriers compared to the amorphous and crystalline counterparts, thus accelerating charge carrier mobility and electrochemical activity of the electrode.

Vanadium Oxides with Amorphous‐Crystalline Heterointerface Network for Aqueous Zinc‐Ion Batteries

AbstractRechargeable aqueous Zn‐VOxbatteries are attracting attention in large scale energy storage applications. Yet, the sluggish Zn2+diffusion kinetics and ambiguous structure–property relationship are always challenging to fulfil the great potential of the batteries. Here we electrodeposit vanadium oxide nanobelts (VO‐E) with highly disordered structure. The electrode achieves high capacities (e.g., ≈5 mAh cm−2, 516 mAh g−1), good rate and cycling performances. Detailed structure analysis indicates VO‐E is composed of integrated amorphous‐crystalline nanoscale domains, forming an efficient heterointerface network in the bulk electrode, which accounts for the good electrochemical properties. Theoretical calculations indicate that the amorphous‐crystalline heterostructure exhibits the favorable cation adsorption and lower ion diffusion energy barriers compared to the amorphous and crystalline counterparts, thus accelerating charge carrier mobility and electrochemical activity of the electrode.

Extending bootstrap AMG for clustering of attributed graphs

In this paper we propose a new approach to detect clusters in undirected graphs with attributed vertices. We incorporate structural and attribute similarities between the vertices in an augmented graph by creating additional vertices and edges as proposed in [1, 2]. The augmented graph is then embedded in a Euclidean space associated to its Laplacian and we cluster vertices via a modified K-means algorithm, using a new vector-valued distance in the embedding space. Main novelty of our method, which can be classified as an early fusion method, i.e., a method in which additional information on vertices are fused to the structure information before applying clustering, is the interpretation of attributes as new realizations of graph vertices, which can be dealt with as coordinate vectors in a related Euclidean space. This allows us to extend a scalable generalized spectral clustering procedure which substitutes graph Laplacian eigenvectors with some vectors, named algebraically smooth vectors, obtained by a linear-time complexity Algebraic MultiGrid (AMG) method. We discuss the performance of our proposed clustering method by comparison with recent literature approaches and public available results. Extensive experiments on different types of synthetic datasets and real-world attributed graphs show that our new algorithm, embedding attributes information in the clustering, outperforms structure-only-based methods, when the attributed network has an ambiguous structure. Furthermore, our new method largely outperforms the method which originally proposed the graph augmentation, showing that our embedding strategy and vector-valued distance are very effective in taking advantages from the augmented-graph representation.