Computational Tool and Corpora Development in a Language with Complex Clause-marking

复杂子句标记语言的计算工具和语料库开发

• 批准号: 1761475
• 负责人: Pilar Valenzuela
• 金额: $ 34.47万
• 依托单位: Chapman University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1761475&HistoricalAwards=false
• 关键词: Computational; Tool; Corpora; Development; Language

One way ambiguity exists in language is through pronouns. Complex sentences can introduce ambiguity when it is unclear whether pronouns have the same referent or a different one. For example, in a sentence like, "She yelled when she threw the ball," both instances of "she" could refer to the same referent (i.e., "Mary"), or they could refer to different females (i.e., "Mary" and "Susan"). To better understand this and other phenomena associated with complex clauses, it is necessary to investigate sources of crosslinguistic variation in the grammatical strategies of constructions. In some languages, a set of markers signal the relationship between two clauses in a system known as switch-reference. These indicate the temporal/logical relationship between the events conveyed by the clauses and whether these events share a prominent participant or not. Switch reference systems are the main discourse organization device in several indigenous languages of the Americas, Australia, New Guinea, and the South Pacific. Arguably the most complex switch-reference system in the world is found in Amawaka, a critically endangered language from Peruvian Amazonia from the Panoan family. Investigators will document Amawaka to advance knowledge of the complexities of switch-reference, the historical paths that give rise to these systems, and their communicative advantages and potential ambiguities. It will advance knowledge in regards grammar structures beyond the sentence level and discourse organization strategies. The data will be permanently stored in archives for endangered languages, available to researchers and the general public. Additionally, undergraduate students and members of the indigenous community will receive linguistic training and field research experience and will produce a storybook and bilingual dictionary for use in schools. These activities will educate and train the next generation of researchers and foster respectful collaboration with the community.The team will record primary data in the field through and then turn to transcribing, translating, and annotating and analyzing that data using existing linguistic software and by developing a a treebank tool for syntactic analysis. Because treebanks contain linguistically annotated data sets, they serve as critical tests of linguistic theories in syntax for sentence structure, given the robustness of the number of naturally occurring examples. Alongside switch-reference, other complex systems of theoretical and typological importance are found in Amawaka, including tripartite case-marking that interacts with information structure, a large number of singular vs. plural suppletive verbs, and sophisticated prosody (tone and glottalization). Considering that the language is rapidly becoming extinct, the present research will ensure a timely account of these and other features, which have been scantly studied or not studied at all. Project outputs include a large annotated Amawaka database, a grammar description, dictionaries, focused research papers, and pedagogical materials. In addition to increasing the scientific knowledge of Amawaka, switch reference, and its other grammatical features, the resulting treebank data set will contribute to more robust and reproducible language sciences. A Panoan-internal comparison will allow the reconstruction of central aspects of the protolanguage. Ultimately, the scientific findings will significantly contribute to Amazonian linguistics and highly impact the linguistic field more generally.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

语言中存在歧义的一种方式是通过代词。当不清楚代词是否具有相同的指称或不同的指称时，复杂的句子可能会产生歧义。例如，在像“她扔球时她大喊大叫”这样的句子中，“她”的两个实例可以指代同一所指对象（即“玛丽”），也可以指代不同的女性（即“玛丽”和“苏珊”）。为了更好地理解这种现象以及与复杂从句相关的其他现象，有必要研究构式语法策略中跨语言变异的来源。在某些语言中，一组标记表示系统中两个子句之间的关系，称为开关引用。这些表明了条款所传达的事件之间的时间/逻辑关系以及这些事件是否有一个重要的参与者。切换参考系统是美洲、澳大利亚、新几内亚和南太平洋的几种土著语言的主要话语组织手段。可以说，世界上最复杂的切换参考系统是在阿马瓦卡语中发现的，这是一种来自秘鲁亚马逊流域帕诺安语系的极度濒危语言。研究人员将记录 Amawaka，以增进对开关引用的复杂性、产生这些系统的历史路径以及它们的交流优势和潜在歧义的了解。它将推进句子层面之外的语法结构和话语组织策略方面的知识。 这些数据将永久存储在濒危语言档案中，供研究人员和公众使用。此外，本科生和土著社区成员将接受语言培训和实地研究经验，并将制作供学校使用的故事书和双语词典。这些活动将教育和培训下一代研究人员，并促进与社区的相互尊重的合作。该团队将记录现场的主要数据，然后使用现有的语言软件和开发用于句法分析的树库工具来转录、翻译、注释和分析这些数据。由于树库包含语言注释的数据集，因此考虑到自然发生的示例数量的稳健性，它们可以作为句子结构语法中语言理论的关键测试。 除了开关引用之外，在 Amawaka 中还发现了其他具有理论和类型学重要性的复杂系统，包括与信息结构相互作用的三方格标记、大量单数与复数补足动词以及复杂的韵律（声调和声门化）。考虑到该语言正在迅速灭绝，目前的研究将确保及时说明这些和其他特征，而这些特征很少被研究或根本没有被研究。项目成果包括大型带注释的 Amawaka 数据库、语法描述、词典、重点研究论文和教学材料。除了增加 Amawaka、switch Reference 及其其他语法功能的科学知识之外，生成的树库数据集还将有助于更加强大和可重复的语言科学。帕诺安内部比较将允许重建原始语言的核心方面。最终，这些科学发现将对亚马逊语言学做出重大贡献，并对语言领域产生更广泛的影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Construcciones causativas en amahuaca (Pano)

Construcciones causativas en amahuaca (Pano)

• DOI: 10.20396/liames.v22i00.8667996
• 发表时间: 2022
• 期刊: LIAMES: Línguas Indígenas Americanas
• 作者: Angulo Pando, Candy Milagros

Language classification in Western Amazonia: advances in favor of the Pano-Takana Hypothesis

亚马逊流域西部的语言分类：支持帕诺-塔卡纳假说的进展

• DOI: 10.20396/liames.v23i00.8670150
• 发表时间: 2023
• 期刊: LIAMES: Línguas Indígenas Americanas
• 作者: Valenzuela, Pilar;Zariquiey, Roberto
• 通讯作者: Zariquiey, Roberto

Realización del alineamiento tripartito en amahuaca: análisis sincrónico y explicación diacrónica

实现阿马瓦卡三方关系：分析辛克罗尼科和解释迪克罗尼卡

• 发表时间: 2023
• 期刊: Lengua y sociedad
• 作者: Valenzuela, Pilar;Zariquiey, Roberto;Angulo, Candy.
• 通讯作者: Angulo, Candy.