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Analyses of Move Structure and Verb Tense of Research Article Abstracts in Applied Linguistics  [cached]
Fan-ping Tseng
International Journal of English Linguistics , 2011, DOI: 10.5539/ijel.v1n2p27
Abstract: This study examined 90 research article abstracts in three applied linguistics journals (i.e., TESOL Quarterly, Applied Linguistics, and Language Learning) from two dimensions: the move structure features and the verb tense of each move. The results showed that the abstracts analyzed tended to take a four-move structure instead of a five-move one as proposed in literature. In addition, since some publishers have word limits on abstract length, authors would usually follow the publisher’s guideline accordingly, thus there existing some differences concerning the move structure features among the abstracts in the three journals. In terms of the verb tense in each move, the preferred pattern was as follows: the present tense usually occurred in the first, second, and fifth move, while the past tense was often used in the third and fourth moves. It was also found that there were some variations between the abstracts written by native speakers and nonnative speakers of English. It is hoped that with detailed analyses of abstracts, the results of this study may serve as a complement to the guidelines for novice writers to construct a proper research article abstract in applied linguistics.
An Annotation Scheme for Free Word Order Languages  [PDF]
Wojciech Skut,Brigitte Krenn,Thorsten Brants,Hans Uszkoreit
Computer Science , 1997,
Abstract: We describe an annotation scheme and a tool developed for creating linguistically annotated corpora for non-configurational languages. Since the requirements for such a formalism differ from those posited for configurational languages, several features have been added, influencing the architecture of the scheme. The resulting scheme reflects a stratificational notion of language, and makes only minimal assumptions about the interrelation of the particular representational strata.
Los tiempos verbales como marcadores evidenciales: El caso del pretérito perfecto compuesto Verbal tenses as evidence markers: The case of the Present Perfect Tense  [cached]
Fernando Bermúdez
Estudios filológicos , 2005,
Abstract: A pesar de que los tiempos verbales son a menudo usados de manera atípica (tiempo verbal presente para describir eventos en el pasado o el futuro, tiempo verbal pasado para describir eventos presentes o futuros, etc.) los investigadores se aferran a la interpretación de los tiempos verbales como deícticos temporales con la tarea básica de ubicar eventos en el tiempo. En este trabajo argumentamos en contra de esta posición y ensayamos una descripción del significado de los tiempos verbales como marcadores evidenciales/modales. A partir de este modelo, analizamos el uso del pretérito perfecto compuesto en la variante rioplatense del espa ol y explicamos las diferentes lecturas que la forma ha recibido en la literatura pertinente (resultativo, admirativo, iterativo, marcador del grado de adhesión del hablante, formalidad) como extensiones de su significado básico evidencial, que describimos como "a partir de la experiencia disponible concluyo/afirmo X" Although it is widely recognized that people in everyday situations use tense morphemes "atypically" (for example present tense to describe events which are clearly in the past or past tense used to describe present or future events), most researchers insist on the idea that the main task of tense morphology is to encode temporality. In this paper we argue against this received theory of tense and propose instead an interpretation of tense morphemes as evidentiality/modality markers. Moreover, an analysis of the River Plate Spanish Present Perfect Tense is proposed that relies on this interpretation. All meanings attributed to the Present Perfect Tense in the literature (resultative, iterative, mirative, grade of commitment, formality) are explained as extensions of the core evidential meaning, namely, "according to available evidence, I conclude/state X"
A LEXICAL-FUNCTIONAL GRAMMAR REPRESENTATION OF INDONESIAN VERBAL SENTENCES
Fuad Cholisi
Jurnal Sosial Humaniora , 2013, DOI: 10.12962/j24433527.v6i1.610
Abstract: This paper presents a Lexical-Functional Grammar (LFG) description of Indonesian structures with a verbal predicate. The similarity of Indonesian and English in this type of construction has enabled the application of the original patterns of LFG for the English structures on its Indonesian counterparts. However, some adjustment has to be made in the description of the constituent structure (c-structure). The Indonesian constituent structure here is unique in that whilst it is organized endocentrically, it uses lexocentric means of function identification. Another different feature description that distinguishes the Indonesian LFG representation from the English one is the absence of the features for tense and agreement in the feature structure (f-structure) due to the fact that Indonesian structures are not subject to tense and number agreement. The number feature, however, appears in the c-structure merely to show the status of the subject in terms of singularity or plurality. In addition to the distinctive descriptions above, some constraints and thematic arguments based on the Lexical Mapping Theory have to be applied in the phrase structure rules to accommodate some peculiar characteristics of Indonesian verbal structures, such as those dealing with the position of adjuncts and oblique objects.
Tense and aspect in Lamnso  [PDF]
Lendzemo Constantine Yuka
Studii de Lingvistica , 2012,
Abstract: Yuka (1997) has identified three broad tenses in Lamnso’2. A closer look at these tenses and their specification of time reference willreveal a more complex tense structure of multiple past and future timeallusions that distinguish different degrees of remoteness to the pastand future tense categories. This paper seeks to determine the variousdegrees of remoteness to a given tense category exhibited in Lamnso’. This paper investigates the relative relationship(s) between a tense marker that denotes the time of an action and the time reference preceding or following that action within the clause. It also examines aspect, interpreted as the way of conceiving the flow of an event (Comrie, 1976). This study identifies seven tense forms for Lamnso’ (P3, P2, P1, P0, F1, F2 and F3.), which specify time distinctions from the remote past (P3) to the remote future (F3)) and three aspect forms. These ten tense and aspect forms combine with distinctive tones and time adverbials to derive a time reference structure whose cut-off points are sometimes fluid and non-rigid.
THE STRUCTURE OF –(y)IsAr FUTURE TENSE SUFFIX / -(y)IsAr GELECEK ZAMAN EK N N YAPISI üZER NE
Sinan UY?UR (M.A.H.)
Turkish Studies , 2007,
Abstract: -(y)IsAr that was future tense suffix consist of descriptive verb that get rigid. The suffix has a construction with few syllable. At the same time, it isin’t used by being participle. So, it looks like with -(I)yor that been present tense suffix both function sliping and construction.
An argumentative annotation schema for meeting discussions  [PDF]
Vincenzo Pallotta,Hatem Ghorbel,Patrick Ruch,Giovanni Coray
Computer Science , 2004,
Abstract: In this article, we are interested in the annotation of transcriptions of human-human dialogue taken from meeting records. We first propose a meeting content model where conversational acts are interpreted with respect to their argumentative force and their role in building the argumentative structure of the meeting discussion. Argumentation in dialogue describes the way participants take part in the discussion and argue their standpoints. Then, we propose an annotation scheme based on such an argumentative dialogue model as well as the evaluation of its adequacy. The obtained higher-level semantic annotations are exploited in the conceptual indexing of the information contained in meeting discussions.
Corpus annotation for mining biomedical events from literature
Jin-Dong Kim, Tomoko Ohta, Jun'ichi Tsujii
BMC Bioinformatics , 2008, DOI: 10.1186/1471-2105-9-10
Abstract: We have completed a new type of semantic annotation, event annotation, which is an addition to the existing annotations in the GENIA corpus. The corpus has already been annotated with POS (Parts of Speech), syntactic trees, terms, etc. The new annotation was made on half of the GENIA corpus, consisting of 1,000 Medline abstracts. It contains 9,372 sentences in which 36,114 events are identified. The major challenges during event annotation were (1) to design a scheme of annotation which meets specific requirements of text annotation, (2) to achieve biology-oriented annotation which reflect biologists' interpretation of text, and (3) to ensure the homogeneity of annotation quality across annotators. To meet these challenges, we introduced new concepts such as Single-facet Annotation and Semantic Typing, which have collectively contributed to successful completion of a large scale annotation.The resulting event-annotated corpus is the largest and one of the best in quality among similar annotation efforts. We expect it to become a valuable resource for NLP (Natural Language Processing)-based TM in the bio-medical domain.Due to the ever-increasing amount of scientific articles in the bio-medical domain, Text Mining (TM) has been recognized as one of the key technologies for future bio-medical research [1-8]. In particular, since the limit of simple TM techniques which treat text as a bag of words has become apparent, there has been increased interest in more sophisticated, Natural Language Processing (NLP)-based TM. NLP as a field has been engaged in computer processing of structure of a sentence or text. Recently, advanced NLP software which uses grammatical knowledge and/or machine learning techniques has been increasingly applied to TM for the bio-medical domain [9-21].For NLP techniques to be successfully applied to text in the bio-medical domain, we first have to construct resources specifically designed for NLP in this domain. Since vocabularies are highly depend
The Compressed Annotation Matrix: an Efficient Data Structure for Computing Persistent Cohomology  [PDF]
Jean-Daniel Boissonnat,Tamal K. Dey,Clément Maria
Computer Science , 2013,
Abstract: The persistent homology with coefficients in a field F coincides with the same for cohomology because of duality. We propose an implementation of a recently introduced algorithm for persistent cohomology that attaches annotation vectors with the simplices. We separate the representation of the simplicial complex from the representation of the cohomology groups, and introduce a new data structure for maintaining the annotation matrix, which is more compact and reduces substancially the amount of matrix operations. In addition, we propose heuristics to simplify further the representation of the cohomology groups and improve both time and space complexities. The paper provides a theoretical analysis, as well as a detailed experimental study of our implementation and comparison with state-of-the-art software for persistent homology and cohomology.
The structure of verbal sequences analyzed with unsupervised learning techniques  [PDF]
Catherine Recanati,Nicoleta Rogovschi,Younès Bennani
Computer Science , 2007,
Abstract: Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluable tools for theoretical analyses and exploration of the structure of sentences, texts, dialogues, and speech. We report here the results of an attempt at using it for inspecting sequences of verbs from French accounts of road accidents. This analysis comes from an original approach of unsupervised training allowing the discovery of the structure of sequential data. The entries of the analyzer were only made of the verbs appearing in the sentences. It provided a classification of the links between two successive verbs into four distinct clusters, allowing thus text segmentation. We give here an interpretation of these clusters by applying a statistical analysis to independent semantic annotations.
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