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Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries

机译:协助资源匮乏的语言的非专家发言人为词法词典的新词词条分配词干和变形示例

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摘要

This paper presents a new method with which to assist individuals with no background in linguistics to create monolingual dictionaries such as those used by the morphological analysers of many natural language processing applications. The involvement of non-expert users is especially critical for under-resourced languages which either lack or cannot afford the recruitment of a skilled workforce. Adding a word to a morphological dictionary usually requires identifying its stem along with the inflection paradigm that can be used in order to generate all the word forms of the new entry. Our method works under the assumption that the average speakers of a language can successfully answer the polar question “is x a valid form of the word w to be inserted?”, where x represents tentative alternative (inflected) forms of the new word w. The experiments show that with a small number of polar questions the correct stem and paradigm can be obtained from non-experts with high success rates. We study the impact of different heuristic and probabilistic approaches on the actual number of questions.
机译:本文提出了一种新方法,该方法可帮助语言学领域中没有背景的个人创建单语词典,例如许多自然语言处理应用中的词法分析仪所使用的词典。非专业用户的参与对于资源匮乏的语言尤其重要,因为语言资源匮乏或缺乏或无法聘请熟练的劳动力。将单词添加到形态词典中通常需要识别其词干以及可使用的变形范例,以便生成新条目的所有单词形式。我们的方法是在这样的假设下进行的,即一种语言的普通发音者可以成功回答以下极性问题:“ x是要插入的单词w的有效形式吗?”,其中x表示新单词w的暂定替代形式(变体形式)。实验表明,通过极少数问题,可以从非专家那里获得正确的词干和范例,并且成功率很高。我们研究了不同的启发式和概率方法对实际问题数量的影响。

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