In this paper we present an extended description of two resources for natural language processing of Breton, a morphological analyser and constraint grammar-based disambiguator. The constraint grammar was developed using a novel methodology by a linguist and a language consultant creating rules to solve specific errors in disambiguation in a machine translation system. In addition we introduce a new morphologically-disambiguated corpus of Breton and evaluate both the morphological analyser and constraint grammar for coverage and accuracy. For comparison we use the same corpus to train several reference systems for part-of-speech tagging and lemmatisation and compare the performance. The experiments show that our system outperforms the reference systems by a wide margin when the reference systems are trained without an external full-form list, and performs comparably when they are trained with a full-form list generated from our morphological analyser.

在本文中，我们介绍了两种用于布列塔尼语自然语言处理的资源的扩展描述，即形态分析器和基于约束语法的消歧器。语言学家和语言顾问使用新颖的方法开发了约束语法，创建了规则以解决机器翻译系统中歧义消除中的特定错误。此外，我们引入了一个新的布列塔尼语在形态学上已消除歧义的语料，并评估了形态分析器和约束语法的覆盖率和准确性。为了进行比较，我们使用同一语料库来训练几个参考系统以进行词性标记和词义化，并比较性能。实验表明，在不使用外部完整格式列表的情况下训练参考系统时，我们的系统在很大程度上优于参考系统。