TS Corpus Project: An online Turkish Dictionary and TS DIY Corpus

T. Sezer
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引用次数: 14

Abstract

TS Corpus is a free and independent project that aims building Turkish corpora, NLP tools and linguistic datasets. Since 2011, 10 corpora, various NLP tools, a large dataset and an online dictionary has been released. This paper focuses on the “online dictionary” and “ TS do-it-yourself corpus” released by the project. The dictionary data is based on TDK (Turkish Language Society) Contemporary Dictionary. However, the dictionary published serves many enhanced functions at user interface level. But, the main importance of the study is about the results presented to the users upon their queries; the presentation of collocations and tri-grams of the key word searched for. The collocations are harvested from a large Turkish corpus, +760 million tokens and the tri-grams were generated from Turkish Wikipedia pages. The do-it-yourself corpus (TS DIY Corpus), allows users to build their own corpora, modify or delete the uploaded texts and run queries. Users may run queries in different modes, such as “as is”, “starting/ending with” or including; besides advanced query option allows users to run queries with part-of-speech tags and lemmas. The results are given in KWIC (keyword in context) format. Various text classification options such as pubdate, author, domain, genre etc. could be selected during corpus creation. As the number of available Turkish corpora is limited, TS DIY Corpus is applicant to be a useful, well-known and largely used software for the scholars and researchers who wants to use a Turkish corpus or study over Turkish texts of their own.
TS语料库项目:一个在线土耳其语词典和TS DIY语料库
TS语料库是一个自由和独立的项目,旨在建立土耳其语料库,自然语言处理工具和语言数据集。自2011年以来,已经发布了10个语料库、各种NLP工具、一个大型数据集和一个在线词典。本文以该项目发布的“在线词典”和“TS diy语料库”为研究对象。词典数据基于TDK(土耳其语言学会)当代词典。但是,发布的字典在用户界面级别提供了许多增强的功能。但是,这项研究的主要重要性在于根据用户的查询呈现给他们的结果;呈现搭配和三角图的关键词搜索。这些搭配是从一个大型的土耳其语料库中收获的,+ 7.6亿个令牌和三克是从土耳其维基百科页面生成的。自助语料库(TS DIY语料库),允许用户建立自己的语料库,修改或删除上传的文本,并运行查询。用户可以以不同的模式运行查询,例如“as is”、“以…开始/结束”或包含;此外,高级查询选项允许用户使用词性标记和引理运行查询。结果以KWIC(上下文关键字)格式给出。在语料库创建过程中,可以选择各种文本分类选项,如发布日期、作者、领域、体裁等。由于可用的土耳其语料库数量有限,TS DIY语料库有望成为想要使用土耳其语料库或研究自己的土耳其文本的学者和研究人员的有用,知名和广泛使用的软件。
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