Pd: “Emerging Grammars”: a cross-linguistic corpus of comparative data in heritage and majority language use

Pd：“新兴语法”：遗产和主流语言使用比较数据的跨语言语料库

• 批准号: 394844736
• 负责人: Professorin Dr. Anke Lüdeling
• 金额: --
• 依托单位: Institut für deutsche Sprache und Linguistik
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/394844736?language=en
• 关键词: Pd; Emerging; Grammars; cross; linguistic

Pd is the key project providing the unified environment that is necessary for the development of a joint empirical basis in RUEG: a cross-linguistic corpus of comparative data based on a common methodology. We will support all other projects methodologically and corpus-linguistically in domains of data collection, corpus building, retrieval, and architecture. To allow for the broad comparability that RUEG requires, it is crucial that: parallel stimuli are used in different languages and with different participant groups; elicitation circumstances are tightly controlled; transcriptions and annotations follow the same, explicit and detailed guidelines; and all subcorpora are stored in a powerful multi-layer corpus architecture in transparent, well-described, and standardised formats. Pd will ensure this, closely working together with all projects to coordinate, guide, and support, at different levels, the compilation, processing, and integration of data for our shared empirical basis. We will generate procedural policies, provide empirical and corpus-linguistic tools and devices, supervise empirical collaboration across individual projects, provide continuous methodological evaluation, and consolidate all data input to a shared corpus.

PD是关键项目，提供了统一的环境，这是必要的联合经验基础的发展RUEG：一个跨语言语料库的比较数据的基础上，一个共同的方法。我们将在数据收集、语料库建设、检索和架构领域从方法论和语料库语言学上支持所有其他项目。为了使RUEG要求的广泛的可比性，这是至关重要的：平行刺激使用不同的语言和不同的参与者群体;启发的情况下，严格控制; transcription和注释遵循相同的，明确的和详细的指导方针;和所有的子语料库存储在一个强大的多层语料库架构中的透明，良好的描述，和标准化的格式。数据中心将确保这一点，与所有项目密切合作，在不同层面上协调、指导和支持数据的汇编、处理和整合，以建立我们共同的经验基础。我们将制定程序政策，提供经验和语料库语言工具和设备，监督各个项目之间的经验合作，提供持续的方法评估，并将所有数据输入整合到共享语料库中。