From text to speech: the MITalk system
From text to speech: the MITalk system
Grammatical category disambiguation by statistical optimization
Computational Linguistics
Regular models of phonological rule systems
Computational Linguistics - Special issue on computational phonology
An algorithm to align words for historical comparison
Computational Linguistics
An introduction to text-to-speech synthesis
An introduction to text-to-speech synthesis
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
Information Retrieval
Semiring frameworks and algorithms for shortest-distance problems
Journal of Automata, Languages and Combinatorics
A new algorithm for the alignment of phonetic sequences
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Building Nutch: Open Source Search
Queue - Search Engines
A gold standard corpus of early modern German
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Evaluating an 'off-the-shelf' POS-tagger on early modern German text
LaTeCH '11 Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Dealing with orthographic variation in a tagger-lemmatizer for fourteenth century Dutch charters
Language Resources and Evaluation
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Historical text presents numerous challenges for contemporary natural language processing techniques. In particular, the absence of consistent orthographic conventions in historical text presents difficulties for any system requiring reference to a static lexicon accessed by orthographic form. In this paper, we present three methods for associating unknown historical word forms with synchronically active canonical cognates and evaluate their performance on an information retrieval task over a manually annotated corpus of historical German verse.