广义擦光指南:一种明确的、人类和机器可读的、用于形态注释的项目和过程约定

David R. Mortensen, Ela Gulsen, Taiqi He, Nathaniel R. Robinson, Jonathan D. Amith, Lindia Tjuatja, L. Levin
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引用次数: 0

摘要

行间注释为语言学家和语言复兴主义者提供了一种重要的形态句法注释类型,并且存在许多用于形式化和计算性地表示它的惯例。其中一些格式是人类可读的;其他是机器可读的。有些可以用通用工具轻松编辑。很少有以一致和形式上严格的方式(与词缀相同)表示非连接过程,如内嵌、重复、突变、截断和音调覆盖。我们提出了一种注释约定——通用注释指南(GGG),它使用项目与过程(IP)框架结合了所有这些正性质。我们描述了格式,证明了它的语言充分性,并将其与其他两种行间有光泽的文本注释方案进行比较。
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Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation
Interlinear glossing provides a vital type of morphosyntactic annotation, both for linguists and language revitalists, and numerous conventions exist for representing it formally and computationally. Some of these formats are human readable; others are machine readable. Some are easy to edit with general-purpose tools. Few represent non-concatentative processes like infixation, reduplication, mutation, truncation, and tonal overwriting in a consistent and formally rigorous way (on par with affixation). We propose an annotation convention—Generalized Glossing Guidelines (GGG) that combines all of these positive properties using an Item-and-Process (IP) framework. We describe the format, demonstrate its linguistic adequacy, and compare it with two other interlinear glossed text annotation schemes.
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Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team
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