Morphological analysis and disambiguation for Breton
| Autor: | Nick Howell, Francis M. Tyers |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050101 languages & linguistics
Linguistics and Language business.industry Computer science Lemmatisation 05 social sciences 02 engineering and technology Library and Information Sciences computer.software_genre Language and Linguistics Education Constraint Grammar Margin (machine learning) Morphological analysis 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Artificial intelligence Computational linguistics business computer Natural language processing |
| Zdroj: | Language Resources and Evaluation. 55:431-473 |
| ISSN: | 1574-0218 1574-020X |
| DOI: | 10.1007/s10579-020-09510-8 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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