Identification of Relevant and Novel Sentences Using Reference Corpus

2004 ◽  
pp. 85-98 ◽  
Author(s):  
Hsin-Hsi Chen ◽  
Ming-Feng Tsai ◽  
Ming-Hung Hsu
Keyword(s):  
Reference Corpus

Corpus Research Applications in Second Language Teaching: A Look into Corpus-informed Materials Development

2020 ◽  
Vol 4 (2) ◽  
pp. 15
Author(s):  
Norwati Roslim ◽  
Muhammad Hakimi Tew Abdullah ◽  
Anealka Aziz ◽  
Vahid Nimehchisalem ◽  
Azhani Almuddin
Keyword(s):  
Second Language ◽  
Language Learning ◽  
Corpus Linguistics ◽  
Teaching Materials ◽  
Materials Development ◽  
Practical Applications ◽  
Reference Grammar ◽  
Corpus Studies ◽  
Reference Corpus ◽  
Clear Guideline

Numerous corpus studies have suggested that teaching materials design could greatly benefit from the empirical information about language use provided by corpus linguistics. In spite of the awareness that corpus-based research can offer valuable insights for materials development, still relatively small number of studies report on the practical applications of corpus data for teaching materials development. There is no clear guideline or framework on how corpora and corpus studies could assist in developing teaching materials. Hence, this study focusses on one grammatical item which poses problems to Malaysian learners, that is, prepositions. The objectives are (i) to identify prepositions in the British National Corpus as a reference corpus and the descriptions offered by linguists and grammarians as a reference grammar, and (ii) to provide a framework to use reference corpus, reference grammar and corpus-based research, as a resource for developing materials in the teaching of prepositions. In order to meet the objectives, content analysis was used as the methodology throughout this study. The findings showed that reference corpus, reference grammar and corpus-based research could be used systematically as guidance to develop corpus-informed materials. It is hoped that this contribution of knowledge could have an impact on second language learning-teaching.

Grammar and variation in the classroom

2022 ◽  
Author(s):  
Vít Dovalil ◽  
Adriana Hanulíková
Keyword(s):  
Language Use ◽  
Linguistic Competence ◽  
Classroom Setting ◽  
Social Forces ◽  
Teacher Interviews ◽  
Important Place ◽  
Successful Communication ◽  
Reference Corpus ◽  
Grammar Knowledge ◽  
Model Texts

Abstract Grammar is the structural foundation of successful communication, language use, and literacy development. Grammar is therefore sometimes viewed as the heart of language with an important place in language teaching. In a classroom setting, regulation of grammar knowledge through teachers is strongly influenced by teachers’ linguistic competence and beliefs. In this paper, we will first show the diversity in this knowledge by means of teacher interviews and speeded grammatical-acceptability data from pupils and students. We will then sketch a socio- and psycholinguistic perspective on several selected morphosyntactic variables in German. These will be discussed with reference to social forces that determine what is standard in a language (language norm authorities, language experts, model texts, and codifiers). Finally, we will draw a roadmap for teachers, language practitioners and editors looking for a qualified solution to grammatical cases of doubt in contemporary German and provide practical examples by drawing upon the German reference corpus.

Domains, text types, aspect marking and English-Chinese translation

1999 ◽  
Vol 2 (2) ◽  
pp. 211-229 ◽  
Author(s):  
Tony McEnery ◽  
Richard Xiao
Keyword(s):  
Chinese Translation ◽  
Parallel Corpus ◽  
Text Type ◽  
Text Types ◽  
Reference Corpus ◽  
Aspect Markers ◽  
Chinese Texts

This paper uses an English-Chinese parallel corpus, an L1 Chinese comparable corpus, and an L1 Chinese reference corpus to examine how aspectual meanings in English are translated into Chinese and explore the effects of domains, text types and translation on aspect marking. We will show that while English and Chinese both mark aspect grammatically, the aspect system in the two languages differs considerably. Even though Chinese, as an aspect language, is rich in aspect markers, covert marking (LVM) is a frequent and important strategy in Chinese discourse. The distribution of aspect markers varies significantly across domain and text type. The study also sheds new light on the translation effect by contrasting aspect marking in translated Chinese texts and L1 Chinese texts.

scholarly journals CORPUS-DRIVEN BAMBARA SPELLING DICTIONARY

2020 ◽  
Author(s):  
V. F. Vydrin ◽  
◽  
J. J. Méric ◽  
Keyword(s):  
Final Stage ◽  
Statistical Data ◽  
Final Decision ◽  
Reference Corpus ◽  
Spelling Variant ◽  
Expert Commission ◽  
Difficult Cases

A model for the development of a corpus-driven spelling dictionary for the Bambara language is described. First, a list of about 4,000 lexemes characterized by spelling variability is extracted from an electronic BambaraFrench dictionary. At the next stage, a script is applied to determine the number of occurrences of each spelling variant in the Bambara Reference Corpus, separately for the entire Corpus (more than 11 million words) and for its disambiguated subcorpus (about 1.5 million words). Statistics on the diversity of sources and authors are also obtained automatically. The statistical data are then sorted manually into two lists of lexemes: those whose standard spelling can be established statistically, and those requiring evaluation by expert linguists. Some difficult cases are discussed in the paper. At the final stage, a representative expert commission will discuss all those lexemes for which statistical data alone do not suffice to define a standard spelling variant, before taking a final decision on each. The resulting Bambara spelling dictionary will be published electronically and on paper.

scholarly journals Schaalvergroting in het syntactische alternantieonderzoek : Een nieuwe analyse van het presentatieve er met automatisch gegenereerde predictoren

2020 ◽  
Vol 25 (1) ◽  
pp. 101-123
Author(s):  
Dirk Speelman ◽  
Stefan Grondelaers ◽  
Benedikt Szmrecsanyi ◽  
Kris Heylen
Keyword(s):  
The Other ◽  
Manual Annotation ◽  
Distributional Analysis ◽  
Syntactic Variation ◽  
Semantic Class ◽  
Semantic Classes ◽  
Reference Corpus ◽  
Lexical Collocations ◽  
The Subject ◽  
Pragmatic Factor

Abstract In this paper, we revisit earlier analyses of the distribution of er ‘there’ in adjunct-initial sentences to demonstrate the merits of computational upscaling in syntactic variation research. Contrary to previous studies, in which major semantic and pragmatic predictors (viz. adjunct type, adjunct concreteness, and verb specificity) had to be coded manually, the present study operationalizes these predictors on the basis of distributional analysis: instead of hand-coding for specific semantic classes, we determine the semantic class of the adjunct, verb, and subject automatically by clustering the lexemes in those slots on the basis of their ‘semantic passport’ (as established on the basis of their distributional behaviour in a reference corpus). These clusters are subsequently interpreted as proxies for semantic classes. In addition, the pragmatic factor ‘subject predictability’ is operationalized automatically on the basis of collocational attraction measures, as well as distributional similarity between the other slots and the subject. We demonstrate that the distribution of er can be modelled equally successfully with the automated approach as in manual annotation-based studies. Crucially, the new method replicates our earlier findings that the Netherlandic data are easier to model than the Belgian data, and that lexical collocations play a bigger role in the Netherlandic than in the Belgian data. On a methodological level, the proposed automatization opens up a window of opportunities. Most important is its scalability: it allows for a larger gamut of alternations that can be investigated in one study, and for much larger datasets to represent each alternation.

Die Flexion der Indefinita jemand und niemand

2021 ◽  
Vol 49 (2) ◽  
pp. 209-243
Author(s):  
Linnéa Weitkamp
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Influencing Factors ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Corpus Study ◽  
Frequent Use ◽  
Current Variation ◽  
Reference Corpus

Abstract This article investigates the inflection of the German indefinite pronouns jemand and niemand in the accusative and dative. The pronouns are used both with inflectional suffix (jemanden/jemandem, niemanden/niemandem) and without (jemand, niemand) and are thus an example of current variation in contemporary German. The grammars take an unusually liberal stance and describe both forms as correct, partially even with preference to the uninflected form. A corpus study which examines conceptually written data of the DeReKo (German reference corpus) and conceptually oral data of the DECOW16B (German web corpus), shows that over 90 % of occurrences are inflected. But almost 10 % of uninflected forms show that these formations are no arbitrary errors either. To find out what influences the presence or absence of the inflectional ending, a binary logistic regression model was calculated. The following factors proved to be significant influencing factors for inflection: the degree of formality (DeReKo vs. DECOW16B), the lexeme (jemand vs. niemand), the case (acc vs. dat), government by preposition vs. government by verb and the following nominalized adjective (jemand anderen). With regard to the different inflectional suffixes, the frequent use of -en in the dative stood out in particular. Although this form is classified as erroneous in all grammars, almost 30 % of the dative occurrences in informal DECOW16B data are formed in this way.

Evaluation of the Syntactic Annotation in EPEC, the Reference Corpus for the Processing of Basque

2009 ◽  
pp. 72-85 ◽  
Author(s):  
Larraitz Uria ◽  
Ainara Estarrona ◽  
Izaskun Aldezabal ◽  
Maria Jesús Aranzabe ◽  
Arantza Díaz de Ilarraza ◽  
...  
Keyword(s):  
Reference Corpus ◽  
Syntactic Annotation

Enriching Topic Coherence on Reviews for Cross-Domain Recommendation

2020 ◽  
Author(s):  
Mala Saraswat ◽  
Shampa Chakraverty
Keyword(s):  
Topic Modeling ◽  
Semantic Analysis ◽  
User Generated Content ◽  
Core Concept ◽  
Semantic Clustering ◽  
Cross Domain ◽  
Semantic Coherence ◽  
Reference Corpus ◽  
Multiple Domains ◽  
Explicit Semantic Analysis

Abstract With the advent of e-commerce sites and social media, users express their preferences and tastes freely through user-generated content such as reviews and comments. In order to promote cross-selling, e-commerce sites such as eBay and Amazon regularly use such inputs from multiple domains and suggest items with which users may be interested. In this paper, we propose a topic coherence-based cross-domain recommender model. The core concept is to use topic modeling to extract topics from user-generated content such as reviews and combine them with reliable semantic coherence techniques to link different domains, using Wikipedia as a reference corpus. We experiment with different topic coherence methods such as pointwise mutual information (PMI) and explicit semantic analysis (ESA). Experimental results presented demonstrate that our approach, using PMI as topic coherence, yields 22.6% and using ESA yields 54.4% higher precision as compared with cross-domain recommender system based on semantic clustering.

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