Automatic morphological analysis of Basque

Coreference Resolution for the Basque Language with BART

“…The preprocessing pipeline takes raw texts and applies a series of Basque linguistic processors to analyse the texts: i) A morphological analyser that performs word segmentation and PoS tagging (Alegria et al, 1996), ii) A lemmatiser that resolves the ambiguity caused at the previous phase (Alegria et al, 68 2002), iii) A multi-word item identifier that determines which groups of two or more words are to be considered multi-word expressions (Alegria et al, 2004), iv) A named-entity recogniser that identifies and classifies named entities (person, organisation, location) in the text (Alegria et al, 2003), v) A chunker, an analyser that identifies verbal and nominal chunks based on rule-based grammars (Aduriz and Díaz de Ilarraza, 2003), vi) A clause tagger, that is, an analyser that identifies clauses, combining rulebased-grammars and machine learning techniques (Alegria et al, 2008).…”

“…It is an agglutinative, head-final, pro-drop, free-word order language (Laka, 1996). Naturally, the Basque language has also inspired a lot of work in Computational Linguistics with tools for automatically processing it becoming increasingly available (Alegria et al, 1996;Alegria et al, 2002;Alegria et al, 2003;Aduriz and Díaz de Ilarraza, 2003;Alegria et al, 2008). However, as it is the case with most less-resourced languages, there are tools for the core processing levels, such as tokenisation, sentence splitting, morphological analysis, syntactic parsing/chunking, but much less so for higher semantic levels required in end goal applications such as Question Answering (Morton, 2000), Text Summarisation (Steinberger et al, 2007) or Information Extraction (Def, 1995;Hirschman, 1998).…”

Language Resources for a Bilingual Automatic Index System of Broadcast News in Basque and Spanish

“…Basque is an agglutinative language with a special morpho-syntactic structure inside the words [4] that may lead to intractable vocabularies of words for a CSR when the size of task is large. A first approach to the problem is to use morphemes instead of words in the system in order to define the system vocabulary [5].…”

“…Simplified sample of the output of the Transcriber free tool [10] enriched with morpho-syntactic information of Basque <Sync time="333.439"/> +horretarako /hortarako/<Word lemma="hori" POS="ADB"/> +denok /danok/<Word lemma="dena" POS="IZL"/> lagundu<Word lemma="lagundu" POS="ADI"/> behar<Word lemma="behar" POS="ADI"/> dugu<Word lemma="*ukan" POS="ADL"/> . </Turn> <Turn mode="spontaneous" fidelity="high" startTime="335.182" endTime="336.065"> <Sync time="335.182"/> ^Batasunak<Word lemma="9batasuna" POS="IZB"/> As Basque is an agglutinative language with very rich inflection variety [4], Basque XML files include morphologic information such as each word's lemma and Part-Of-Speech tag. This information could be very useful in the development of Language Models for the recognition of continuous Speech in this context.…”

“…The alternative transcriptions of the word are spotted in second place, and the morphological information is later added, and it includes morpho-syntactic information, lemma information [4] and its corresponding sub-lexical unit segmentation as explained in [6]. …”