The University of Birmingham 2019 Spoken CALL Shared Task Systems: Exploring the importance of word order in text processing

This paper focuses on the acquisition of German sentences by Italian native speakers in Foreign Language Teaching, with the verb located in second position, and the subject found in the middle field. The study is based upon a corpus of texts written by Italian students during their first six semesters at the University of Pisa. The first part of the study describes the main grammatical structural differences between Italian and German declarative sentences, referring to position of verb, subject and clause constituents. In the second part, I summarize the research results of the main German-Italian linguistic contrastive studies on the acquisition of word order in German, by focusing on declarative sentences with the subject in the middle field. The final part of this paper focuses on the linguistic and contextual factors influencing the acquisition process for further development in this field of study, in order to offer suggestions for foreign language teaching of German.

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Shortcuts in German Grammar: A Percentage Approach Phase 1: Adjective endings

Linguistik Online ◽

10.13092/lo.54.280 ◽

2012 ◽

Vol 54 (4) ◽

Author(s):

John Partridge ◽

Susanne Krauß

Keyword(s):

Word Order ◽

Phase 1 ◽

Past Tense ◽

German Word ◽

Subordinate Clauses ◽

Pilot Scheme ◽

And Gender ◽

High Level ◽

The University ◽

Approach Phase

German grammar is constantly perceived as difficult, a strong disincentive to learning the language, yet the underlying principles are basically simple. If applied consistently, using uncomplicated techniques based on the concept of markedness, German of a high level of accuracy can be produced. Starting with the unjustifiably much-feared adjective endings, this pilot scheme, funded with the help of the Challenge Fund of the University of Kent, demonstrates the principles of German word-order and the marking of case and gender and how, with some minor adjustment, the easily learnable der/die/das paradigm and the awareness that once this has been mastered and case and gender have already been marked, only one of the two unmarked endings -e or -en is required to give all the necessary patterns for producing correctly inflected adjective endings. If case and gender are not marked by an article the endings of der/ die/ das can with some slight modifications be added to the adjective. So with this easily acquired knowledge, adjective endings can be handled with confidence. On this basis the program, still a work in progress, offers a theoretical grounding couched in understandable terms, a terminological glossary and an easily accessible expandable set of technologically based exercises with extensive linked help functions. These can be used serially as an entire learning unit or selectively to enable students to put their knowledge into practice and improve their skill and success in German. Following this pilot, the approach is to be extended to other common grammatical problems, e. g. word order, passive (Zustands- vs. Vorgangspassiv), indirect speech, subordinate clauses, prepositions of movement and location, past tense forms and subjunctive use.

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Papers in Bantu grammar and description

ZAS Papers in Linguistics ◽

10.21248/zaspil.43.2006.281 ◽

2006 ◽

Vol 43 ◽

pp. 278

Author(s):

Laura J. Downing ◽

Lutz Marten ◽

Sabine Zerbian

Keyword(s):

Word Order ◽

Life Time ◽

Research Projects ◽

Collaborative Project ◽

Bantu Languages ◽

University Of Leiden ◽

International Networks ◽

Pronominal Reference ◽

Set Up ◽

The University

The collection of papers in this volume presents results of a collaborative project between the School of Oriental and African Studies (SOAS) in London, the Zentrum für allgemeine Sprachwissenschaft, Typologie und Universalienforschung (ZAS) in Berlin, and the University of Leiden. All three institutions have a strong interest in the linguistics of Bantu languages, and in 2003 decided to set up a network to compare results and to provide a platform for on-going discussion of different topics on which their research interests converged. The project received funding from the British Academy International Networks Programme, and from 2003 to 2006 seven meetings were held at the institutions involved under the title Bantu Grammar: Description and Theory, indicating the shared belief that current research in Bantu is best served by combining the description of new data with theoretically informed analysis. During the life-time of the network, and partly in conjunction with it, larger externally funded Bantu research projects have been set up at all institutions: projects on word-order and morphological marking and on phrasal phonology in Leiden, on pronominal reference, agreement and clitics in Romance and Bantu at SOAS, and on focus in Southern Bantu languages at ZAS. The papers in this volume provide a sampling of the work developed within the network and show, or so we think, how fruitful the sharing of ideas over the last three years has been. While the current British Academy-funded network is coming to an end in 2006, we hope that the cooperative structures we have established will continue to develop - and be expanded - in the future, providing many future opportunities to exchange findings and ideas about Bantu linguistics.

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Nordic Word Order Database: Motivations, methods, material and infrastructure

Nordic Atlas of Language Structures Journal ◽

10.5617/nals.7529 ◽

2019 ◽

Vol 4 (1) ◽

pp. 1-33 ◽

Cited By ~ 1

Author(s):

Björn Lundquist ◽

Ida Larsson ◽

Maud Westendorp ◽

Eirik Tengesdal ◽

Anders Nøklestad

Keyword(s):

Word Order ◽

The North ◽

Production Experiment ◽

Verb Placement ◽

Research Questions ◽

University Of Oslo ◽

The University ◽

User Friendly ◽

Germanic Languages ◽

Data Collection Procedure

In this article, we present the Nordic Word Order Database (NWD), with a focus on the rationale behind it, the methods used in data elicitation, data analysis and the empirical scope of the database. NWD is an online database with a user-friendly search interface, hosted by The Text Laboratory at the University of Oslo, launched in April 2019 (https://tekstlab.uio.no/nwd). It contains elicited production data from speakers of all of the North Germanic languages, including several different dialects. So far, 7 fieldtrips have been conducted, and data from altogether around 250 participants (age 16–60) have been collected (approx. 55 000 sentences in total). The data elicitation is carried out through a carefully controlled production experiment that targets core syntactic phenomena that are known to show variation within and/or between the North Germanic languages, e.g., subject placement, object placement, particle placement and verb placement. In this article, we present the motivations and research questions behind the database, as well as a description of the experiment, the data collection procedure, and the structure of the database

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Dependency parsing of biomedical text with BERT

BMC Bioinformatics ◽

10.1186/s12859-020-03905-8 ◽

2020 ◽

Vol 21 (S23) ◽

Author(s):

Jenna Kanerva ◽

Filip Ginter ◽

Sampo Pyysalo

Keyword(s):

Transfer Learning ◽

Language Processing ◽

State Of The Art ◽

Text Processing ◽

Syntactic Analysis ◽

Biomedical Text ◽

Dependency Parsing ◽

Shared Task ◽

Fine Tune ◽

Selection Of

Abstract Background: Syntactic analysis, or parsing, is a key task in natural language processing and a required component for many text mining approaches. In recent years, Universal Dependencies (UD) has emerged as the leading formalism for dependency parsing. While a number of recent tasks centering on UD have substantially advanced the state of the art in multilingual parsing, there has been only little study of parsing texts from specialized domains such as biomedicine. Methods: We explore the application of state-of-the-art neural dependency parsing methods to biomedical text using the recently introduced CRAFT-SA shared task dataset. The CRAFT-SA task broadly follows the UD representation and recent UD task conventions, allowing us to fine-tune the UD-compatible Turku Neural Parser and UDify neural parsers to the task. We further evaluate the effect of transfer learning using a broad selection of BERT models, including several models pre-trained specifically for biomedical text processing. Results: We find that recently introduced neural parsing technology is capable of generating highly accurate analyses of biomedical text, substantially improving on the best performance reported in the original CRAFT-SA shared task. We also find that initialization using a deep transfer learning model pre-trained on in-domain texts is key to maximizing the performance of the parsing methods.

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The Characteristics of Tasks and Accountability in Student Teaching

Journal of Teaching in Physical Education ◽

10.1123/jtpe.4.4.286 ◽

1985 ◽

Vol 4 (4) ◽

pp. 286-299 ◽

Cited By ~ 15

Author(s):

Richard Tinning ◽

Daryl Siedentop

Keyword(s):

Qualitative Research ◽

Student Teaching ◽

Cooperating Teacher ◽

Main Task ◽

Research Strategies ◽

Accountability Systems ◽

Research Accountability ◽

The University ◽

Task Systems ◽

Task Structures

Doyle’s concepts of task structures and the notion of accountability were applied to the student teaching process. Qualitative research strategies were used to gather data for one intern in two settings across an entire academic term. Three main task systems were identified. The contingencies supporting the task structures were less readily identified than for previous classroom and gymnasium research. Accountability systems tended to be less formal. The intern must balance the demands of task systems that produce consequences from pupils, the cooperating teacher, and the university supervisor. Monitoring and feedback from the supervisor and cooperating teacher appear to play an important informal role in the development of intern performance across time.

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The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018

10.18653/v1/w18-3216 ◽

2018 ◽

Author(s):

Florian Janke ◽

Tongrui Li ◽

Eric Rincón ◽

Gualberto Guzmán ◽

Barbara Bullock ◽

...

Keyword(s):

Code Switching ◽

Shared Task ◽

University Of Texas ◽

The University

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