TTK：突尼斯语言分析工具包

IF 3.1 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Computer Speech and Language Pub Date : 2024-01-03 DOI:10.1016/j.csl.2023.101617

Asma Mekki, Inès Zribi, Mariem Ellouze, Lamia Hadrich Belguith

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引用次数: 0

摘要

在过去的二十年中，人们为提供阿拉伯语自然语言处理（NLP）资源做出了许多努力。其中一些资源针对特定的 NLP 任务，如单词标记化、解析或情感分析，而另一些资源则试图同时处理多项任务。在本文中，我们介绍了突尼斯语言分析工具包 "TTK"。它由一系列语言分析工具组成，包括正字法规范化、句子边界检测、单词标记化、形态分析、解析和命名实体识别。本文重点介绍 TTK 工具的设计和实施。

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TTK: A toolkit for Tunisian linguistic analysis

Over the last two decades, many efforts have been made to provide resources to support the Arabic Natural Language Processing (NLP). Some of these resources target specific NLP tasks such as word tokenization, parsing, or sentiment analysis, while others attempt to tackle numerous tasks at once. In this paper, we present ¡¡TTK¿¿, a toolkit for Tunisian linguistic analysis. It consists of a collection of linguistic analysis tools for orthographic normalization, sentence boundaries detection, word tokenization, morphological analysis, parsing and named entity recognition. This paper focuses on the design and implementation of TTK tools.

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来源期刊

Computer Speech and Language 工程技术-计算机：人工智能

CiteScore

11.30

自引率

4.70%

发文量

审稿时长

22.9 weeks

期刊介绍： Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language. The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.