In the Japanese language, there are various modal elements, which mark speakers' subjective attitudes toward propositions. One of the most common modals is the noda predicate, which possesses the dual function of either asserting the truth of the position or relaying the speaker's desire for information sharing. Japanese Native Speakers (JNSs) use noda frequently in conversation; however, Japanese Language Learners (JLLs) often face difficulty in learning noda because of its wide variety in function and use. To determine the nature of noda use, this study examines conversational data from role-plays and a case study of two JLLs. The main aims of this thesis are 1) to review research on noda and to provide a cohesive and concise explanation of its functions and 2) to examine the use and acquisition of noda by JLLs. Following Noda's (1997) categorization, noda can be divided broadly into two types: scope and mood. Noda of scope exhibits the speaker's assertion that the proposition is true, while noda of mood marks the speaker's strong desire for information to be shared by speaker and hearer. This study proposes a framework with which to understand the functions of noda, and classifies information which is speaker-oriented (+ Speaker/- Hearer knowledge), hearer-oriented (-Speaker/+ Hearer), and shared (+ Speaker/+ Hearer). JLLs first tend to use noda with speaker-oriented information, and later acquire functions related to hearer-oriented and shared information. In the study of role-plays, JLLs with higher oral proficiency levels as rated by the ACTFL-OPI (Oral Proficiency Interview) used a higher frequency of noda. Both the JLLs and JNSs used noda primarily to provide and seek explanations. The intermediate-level JLLs underused noda in providing supplemental explanations. Other uses of noda in the role-plays included emphasizing information, seeking validity, and back-channeling. The two JLLs in the case study did not notice the use of noda during conversations with the JNS, but began to use noda more frequently during practice conversations upon receiving explicit instructions on the use of noda. While the post-test did not demonstrate increased use of noda due to the limited time of this study, there are clear indications for pedagogy. First, because the functions of noda are varied and numerous, Japanese language textbooks and classrooms should not be limited in providing only the 'explanation' function of noda. Second, the frequent use of noda in Japanese conversation suggests that it should be an area of focus in oral practice. Finally, JLLs need to develop skills in both comprehension and production of noda to improve their Japanese discourse. / Arts, Faculty of / Asian Studies, Department of / Graduate

This thesis advances a specific model of 1-syntax, based on Hale and Keyser (1993, 1994) and Dechaine (1996) as a point of departure, and also proposes a general theory of the relation between the lexicon and the syntax. One of the essential proposals that I make is the F\mctionalization Principle, which permits a lexical head to project a functional projection if and only if the meaning of the head is represented by 1-syntactic structure without any extra semantic features. I refer to this type of head as a light head. The Functionalization Principle leads us to a principled account of various lexical and functional uses of lexical items such as a passive morpheme -en and have. Examples that support my analysis range from adjectival and verbal passives (e.g. Mary is very pleased and The glass was broken by BUI), to constructions of alienable and inalienable possession (e.g. John has Jive bucks and John has blue eyes), to causative/experiential constructions (e.g. John had his students walk out of class), and to perfect constructions (e.g. Lucie has advised the prime minister). Furthermore, the analysis of possessive have is extended to possessive nominals (e.g. John's cat and John's eyes). I also examine the implications of the theories of 1-syntax and 1- functors for Case. I propose that 1-syntactic structure partly determines inherent Case whereas the 1-functor checks what I call l-Junctor Case through the Spec-head relation. Furthermore, I show that these analyses of inherent Case and 1-functors account for essential properties of possessive D (a genitive marker -*s), some Hindi marked subject constructions and Japanese experiential transitive constructions. / Arts, Faculty of / Linguistics, Department of / Graduate

This dissertation studies leftward dislocation of object Noun Phrases in Mandarin Chinese within the framework of Government and Binding theory. Although the canonical word order in Chinese is S(ubject)-V(erb)-O(bject), it also exhibits OSV and SOV word orders. After an introduction in Ch. 1, I discuss OSV constructions in Ch.2. I argue that the S-initial object NP is moved there, since its association with a gap in the canonical object position obeys the subjacency condition. Based on several diagnostic tests, I propose that Chinese has two kinds of short-distance NP fronting: one is A’-movement and the other is A-movement. Adopting the Split Infl Hypothesis, I postulate a fully articulated clause structure for Chinese. In particular, I propose that the fronted NP in A-movement lands in [Spec AgrOP] as a kind of overt raising, while the one in A’-movement further leaves that spec position and is CP-adjoined. I also examine long-distance NP fronting, showing that it is invariably A’-movement. In Ch. 3, I investigate object shift, which yields SOV constructions. I argue that this syntactic process represents a type of A-movement, not A’-movement as concluded in previous studies. Specifically, I propose that the subject NP and the object NP in this construction overtly raise to [Spec AgrSP] and [Spec AgrOP] respectively. In Ch.4, I examine the interactions between an object wh-NP and dou, the adverb of universal quantification. I propose that wh-phrases, like indefinites, can be either presuppositional or existential. If they are within VP (i.e. remain postverbal), they are subject to existential closure and get an existential/interrogative reading. If, however, they are outside VP (i.e. shifted to the left of dou), they define the range of the quantifier dou and obtain the presuppositional/universal reading. The conclusion is that there is a strict correlation between the S-structure positions of the wh-phrase and its interpretations. The exhaustive list reading of the in-situ wh-object associated with the interrogative reading is derived from the fact that it is in the scope of dou at S-structure. In Ch. 5, I summarize the major findings of this dissertation and raise several issues for future research. / Arts, Faculty of / Linguistics, Department of / Graduate

Phonological phenomena related to the syllable are often analysed either in terms of the constituents defined in the Onset-Rhyme Model; or in terms of moras after the Moraic Theory. Even as arguments supporting one of these theoretical models over the other continue to be unfurled, the Moraic Theory has gained significant currency in recent years. Situated in the foregoing theoretical climate, this dissertation argues that a full-fledged model of the syllable must incorporate the insights accruing from both constituents and moras. The result is the Mora-Constituency Interface model (MCI). Syllable-internal structure as envisioned in MCI manifests in a Constituency Dimension as well as a Moraic Dimension. The dimensions interface with each other through segment-melody complexes, whose melodic content is associated with the Constituency Dimension and whose segmental (i.e. X-slot) component belongs to the Moraic Dimension. The Constituency Dimension and the Moraic Dimension are both thus necessary even to represent the atomic distinction between segments and melodies in a typical syllable. In terms of its architecture, the Constituency Dimension in MCI is formally identical to the Onset-Rhyme Model and encompasses the Onset, the Nucleus and the Coda, with which melodies are associated. The Nucleus and Coda together constitute the Rhyme. In the Moraic Dimension, moras are assigned to segments on universal, language-specific or contextual grounds. From a functional perspective, the Moraic Dimension is where the metrical relevance of segment-melody complexes is encoded (as moras), while feature-based information pertaining to them is structured in the Constituency Dimension. The independent functional justification for both the dimensions in MCI predicts that segment-melody complexes, though typically split across the dimensions as segments and melodies, may also be associated entirely with the Constituency Dimension or with the Moraic Dimension of a syllable. The former possibility finds empirical expression in extrametrical consonants, and the latter in moraic ambisyllabic consonants. Analogously, a syllable itself may have either just the Constituency Dimension (e.g. extrametrical syllables) or just the Moraic Dimension (e.g. catalectic syllables). The prosodic object called the syllable is thus a composite formal entity tailored from the constituent-syllable (C-s) and the moraic-syllable (M-s).While MCI is thus essentially a model of syllable-internal structure, it also exerts some influence on prosodic structure beyond the syllable. For example, within MCI, feet can be directly constructed from moras, even in languages whose metrical systems are traditionally thought of as being insensitive to mora count. The upshot is that a fully moraic universal foot inventory is possible under MCI.That MCI has implications for the organisation of elements within (segment-melody complexes) and outside (feet) the syllable suggests that the model has the potential to be a general theory of prosodic structure. The model is also on solid cross-linguistic ground, as evidenced by the support it receives from different languages. Those languages include but are not restricted to Kwakwala, Chugach Yupik, Hixkaryana, Paumari, Leti, Pattani Malay, Cantonese, Tamil and English. Keywords: Syllables, constituents, moras, segments, melodies.

In this thesis, I investigate the distribution and function(s) of gender in Tunisian Arabic. Based on the observation that gender can ll multiple functions and hence receive different interpretations in TA, I consider gender in this language to be subject to contextual allosemy. Allosemy is the equivalent of conditioned allomorphy at the level of LF (Wood, 2012; Marantz, 2013; Wood and Marantz, 2017) and is de ned as a phenomenon in which a single morpheme can have multiple semantic realizations. My proposal is based on the observation that the interpretation of gender is conditioned by its syntactic environment, more speci fically, by the class of the base noun and the function and interpretation of any node or abstract morpheme (e.g., number) that is parasitic of the n head hosting the class feature. The current predominant view of gender in syntactic theory is that it has a nominalizing function (Lecarme, 2002; Kihm, 2005; Lowenstamm, 2008; Acquaviva, 2009; Kramer, 2009, 2014, 2015; Hammerly, 2018). According to this view, gender is hosted on the n head, which selects the root, and assigns it a nominal category (assuming DM). However, Arabic has other uses for the feminine gender, most of them associated with number. This, I argue, originates from the diachronic trajectory of the feminine a x -a in Proto-Semitic, where it started out as a nominalizer, then a singulative a x, then a group marker, before finally marking feminine gender (Hasselbach, 2014a,b; Dali and Mathieu, 2019a). These subsequent layers of meanings associated with what is now known as gender are all present in the synchronic picture of Arabic. Through an exhaustive inventory of data and diagnostics, I show that the role of gender is pervasive within the Tunisian Arabic DP, and is not limited to nominalization. To account for these facts, I propose that gender is distributed among the different functional heads of the DP: Num, Q, D (see also Farkas 1990; Ritter 1993; Giurgea 2008; Croitor and Giurgea 2009; Steriopolo and Wiltschko 2010; Fassi Fehri 2012, 2018b,a; Dali and Mathieu 2019a). The present thesis also focuses on plurals. I show that plural markers can also be distributed along the nominal spine (Acquaviva, 2008; Harbour, 2008; Wiltschko, 2008, 2012; Butler, 2012; Mathieu, 2012, 2013, 2014; Kramer, 2016), accounting for their di erent functions (e.g., classifying, grouping, counting). These different functions associated with Arabic plurals are, I argue, due to the existence of a singulative operator that is not limited to the collective system, but is pervasive in Tunisian Arabic, as I show. Finally, these observations all suggest that one and the same abstract morpheme (e.g., the feminine and the plural) can receive different interpretations depending on the base they attach to and on their syntactic level, which motivates the allosemic analysis put forward in this thesis.

No description available.

The purpose of this study was to examine more deeply the relationship between pause location and duration and its connection to clause and phrase boundaries for native English speakers (NESs). Previous research has shown pauses produced by NESs to be located at clause boundaries (Brown & Miron, 1971; Hawkins, 1971; Tavakoli, 2011), but little empirical work has been done to probe this issue further. For this research, 80 speech samples, 40 male and 40 female, were randomly selected from the International Dialects of English Archive (IDEA) representing different regions in the United States. Oral data from the read-aloud portion of the samples were used for this research. The grammatical structures within the speech sample were tagged, and the filled and unfilled pauses were marked for location and duration. The utterances were analyzed for pauses occurring at grammatical boundaries and punctuation marks. The results showed that 91.5% of all pauses in the speech samples were found after clauses, phrases, or punctuation marks, leaving only 8.5% to occur within these structures. The number of pauses per boundary out of the potential pauses at those boundaries was also analyzed. The findings from this study indicate that NESs pause after 94.2% of the available periods, 69.4% of the clauses, 44.7% of the commas, and 5.7% of the phrases. In addition to these findings on pause location, pauses were found to be longest at clause and period boundaries with average pause lengths of 652 ms and 734 ms respectively and shortest at phrase and comma boundaries with average pause lengths of 471 ms and 511 ms respectively. The results also showed that these differences were statistically significant between clauses and phrases as well as periods and commas. Although filled pauses were marked, no meaningful findings can be reported due to there only being a total of 10 filled pauses in all 80 speech samples. Gender differences were also statistically significant when measuring pause duration with the average pause length of males being 659 ms and those of females being 550 ms. In addition to providing new empirical evidence describing NESs' use of pausing, these findings have potential implications to help non-native English speakers (NNESs) improve their use of pausing in English as a means of enhancing their fluency and intelligibility.

This dissertation is a first look at English-speaking children’s acquisition of the syntax of the partitive. It presents four experiments that contrast three types of structures and examines how they interact with adjectival modification: the partitive, the pseudopartitive and complex nouns with prepositional adjuncts. The experimentation investigates whether children recognize that the Determiner Phrase (DP) in the partitive is a barrier to adjectival modification. The partitive is contrasted with the pseudopartitive –a minimal pair structure that lacks an internal DP. The data shows that children under the age of six do not distinguish between the partitive and the pseudopartitive. They allow adjectives preceding the partitive to modify the second noun; this is standardly considered licit for the pseudopartitive structure, but not the partitive. This result is evidence that children are under-representing the syntax of the partitive and of DP. Syntactic representations of minimal DP and minimal partitive structures are suggested and it is argued that these structures may persist as an option in the adult grammar. Chapter 2 discusses multiple layers in DP, DP’s status as a barrier/phase and how children acquire its syntax (Abney 1987, Cinque 1994, de Villiers & Roeper 1995, Kupisch 2006, Bošković 2008). This chapter also includes evidence for an underrepresented DP in the grammar of some adult English speakers (Schafer & de Villiers 2000, Carlson et al 2006). Chapter 3 presents background literature on the syntax of the partitive (Jackendoff 1977, Hoeksema 1996), introduces the pseudopartitive structure (Selkirk 1977, Stickney 2004 and Alexiadou, Haegeman & Stavrou 2007) and presents acquisition hypotheses. Chapters 4 & 5 present a pilot experiment and three picture choice tasks. The experimental data shows that children and a subset of adults do not distinguish between partitive and pseudopartitive and yet they maintain a clear distinction between pseudopartitive and other similar complex nouns. Chapter 6 presents two syntactic analyses of the data. One uses a split-DP structure (Zamparelli 2000, Laenzlinger 2000) to explain the lack of barrier in children’s partitives. The other suggests a reduced partitive structure (Rutkowski 2007). Both analyses require a reanalysis of the features of DP in children’s partitives.

Formulaic language (FL) has long been a research topic investigated by various schools of researchers. Most of the previous researches focused on English as Second Language. The applicability of the past research results to other languages, especially Chinese as a second language, is still uncertain.The present study attempts to investigate the classroom teaching of Chinese formulaic language and its effects on students writing performance. Two sections of 3rd year Chinese L2 learners at Brigham Young University were chosen to participate the research, serving as the treatment group and the control group respectively. Both groups were required to write on the same topics at different times in a semester. 80 responses from four topics were then chosen to analyze the effects of using Chinese FL.Results show that among the four types of Chinese FL, both collocations and transitions are used frequently, while the other two types of Chinese FL are less used by participants from the experimental group. Except the first topic, the adoption of Chinese FL does contribute to more Chinese characters in the writing responses of the participants from the experimental group, which reveal learners confidence in Chinese writing after the FL training. Also, both the remarkably higher average scores for each topic and the decreasing error rates demonstrate that the adoption of Chinese FL teaching positively influences participants writing performance. Lastly, the contributions of the four different types of Chinese FL to participants better writing performance are also discussed.

<p> With the proliferation of computer science in recent years in modern society, the number of computer science-related employment is expanding quickly. Software engineer has been chosen as the best job for 2023 based on pay, stress level, opportunity for professional growth, and balance between work and personal life. This was decided by a rankings of different news, journals, and publications. Computer science occupations are anticipated to be in high demand not just in 2023, but also for the foreseeable future. It’s not surprising that the number of computer science students at universities is growing and will continue to grow. The enormous increase in student enrolment in many subdisciplines of computers has presented some distinct issues. If computer science is to be incorporated into the K-12 curriculum, it is vital that K-12 educators are competent. But one of the biggest problems with this plan is that there aren’t enough trained computer science professors. Numerous new fields and applications, for instance, are being introduced to computer science. In addition, it is difficult for schools to recruit skilled computer science instructors for a variety of reasons including low salary issue. Utilizing the K-12 teachers who are already in the schools, have a love for teaching, and consider teaching as a vocation is therefore the most effective strategy to improve or fix this issue. So, if we want teachers to quickly grasp computer science topics, we need to give them an easy way to learn about computer science. To simplify and expedite the study of computer science, we must acquaint school-treachers with the terminology associated with computer science concepts so they can know which things they need to learn according to their profile. If we want to make it easier for schoolteachers to comprehend computer science concepts, it would be ideal if we could provide them with a tree of words and phrases from which they could determine where the phrases originated and which phrases are connected to them so that they can be effectively learned. To find a good concept word or phrase, we must first identify concepts and then establish their connections or linkages. As computer science is a fast developing field, its nomenclature is also expanding at a frenetic rate. Therefore, adding all concepts and terms to the knowledge graph would be a challenging endeavor. Creating a system that automatically adds all computer science domain terms to the knowledge graph 11 would be a straightforward solution to the issue. We have identified knowledge graph use cases for the school-teacher training program, which motivates the development of a knowl?edge graph. We have analyzed the knowledge graph’s use case and the knowledge graph’s ideal characteristics. We have designed a web-based system for adding, editing, and remov?ing words from a knowledge graph. In addition, a term or phrase can be represented with its children list, parent list, and synonym list for enhanced comprehension. We’ve developed an automated system for extracting words and phrases that can extract computer science idea phrases from any supplied text, therefore enriching the knowledge graph. Therefore, we have designed the knowledge graph for use in teacher education so that school-teachers can educate K-12 students computer science topicses effectively. </p>