CI-P: Towards the Creation of a Unified Repository for MultiLingual and CrossLingual Multiword Expressions

跨越单词边界的单个概念，如kick the bucket和traffic light，通常被称为多词表达（MWE）。MWE的使用在自然语言中很普遍。从加工的角度来看，MWE构成了重大挑战。显式识别，分类，并在文本中建模MWE，以提高NLP技术。 该提案的目的是进行探索性研究，并建立共识，以创建跨语言（阿拉伯语、中文、英语、西班牙语、波斯语）、体裁和领域的多语言和跨语言MWE统一知识库，同时增加上下文参考和现有词汇资源的链接。了解不同语言之间的MWE空间将对多语言和跨语言NLP应用以及语言学研究产生重大影响。这样一个大规模的资源将通过增加对共同和不同的文化和语言概念的见解，作为广泛的类型学和词源学研究如何在不同民族之间形成概念的基础，为语言普遍性和特定语言研究提供有纪律的调查。多词表达占据了语义空间的重要部分。随着对MWE及其性质、行为和用法的深入了解，自然语言处理（NLP）从业者可以构建更强大的系统，以实现自然语言理解（NLU）的目标。同时研究一组不同的语言，将使我们更深入地了解语言共性和语言特定现象，这些现象对我们如何设计整体自然语言解决方案产生深远影响。该提案的目的是进行探索性研究，并建立共识，以创建跨不同体裁和领域的多语言和跨语言MWE统一知识库，同时添加上下文参考和链接到现有的词汇资源，如WordNet。我们的愿景是建立一个存储库，该存储库使用5种不同语言（阿拉伯语、中文、英语、西班牙语和波斯语）的链接进行一致注释。 该补助金将支持以下方面：i）调查各种语言的MWE中常见的通用语言信息，并确定特定语言或在类型学相关语言中发现的差异化特征; ii）对基本注释任务进行试点注释研究; iii）建立收集，存储和注释数据的基本基础设施; iv）开发工具，从现有资源中引导设想的资源;以及v）组织两次为期两天的研讨会，收集该领域主要研究人员的意见，并就此类资源的关键问题达成共识。

Single concepts that cross word boundaries, such as kick the bucket and traffic light, are typically referred to as multiword expressions (MWE). MWE usage is pervasive in natural languages. MWEs pose a significant challenge from a processing perspective. Explicitly identifying, classifying, and modeling MWEs in text is shown to improve NLP technologies. The objective of this proposal is to conduct exploratory research and build consensus towards the creation of a Unified Repository for Multilingual and Cross-lingual MWE cutting across different languages (Arabic, Chinese, English, Spanish, Persian), genres and domains while adding contextual references and links to existing lexical resources. Understanding the space of MWE across different languages will have a significant impact on multilingual and cross-lingual NLP applications as well as studies in Linguistics in general. Such a large-scale resource will provide for a disciplined investigation into language universals and language-specific studies by adding insights into shared and varying cultural and language concepts as grounds for extensive typological and etymological studies of how concepts are formed across peoples. Multiword Expressions (MWE) occupy a significant portion of the semantic space. With deeper understanding of MWE, their nature, behavior and usage, natural language processing (NLP) practitioners can build more robust systems to achieve the goal of Natural Language Understanding (NLU). Looking at a diverse set of languages simultaneously would lead to more insights into language universals and language specific phenomena having profound impact in how we design overall natural language solutions. The objective of this proposal is to conduct exploratory research and build consensus towards the creation of a Unified Repository for Multilingual and Cross-lingual MWE cutting across different genres and domains while adding contextual references and links to existing lexical resources such as WordNet. The vision is for a repository that is consistently annotated with links across 5 different languages: Arabic, Chinese, English, Spanish, and Persian. This grant will support the following: i) investigating universal linguistic information that is common across MWEs in various languages as well as identifying differentiating features that are language-specific or found in typologically related languages; ii) conducting pilot annotation studies on essential annotation tasks; iii) building the basic infrastructure for harvesting, storing, and annotating the data; iv) developing tools to bootstrap the envisioned resource from existing resources; and, v) Organizing two 2-day workshops to gather input from leading researchers in the field and to build consensus on key issues for such a resource.