Anne Göhring

Also published as: Anne Goehring


2018

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Encoder-Decoder Methods for Text Normalization
Massimo Lusetti | Tatyana Ruzsics | Anne Göhring | Tanja Samardžić | Elisabeth Stark
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018)

Text normalization is the task of mapping non-canonical language, typical of speech transcription and computer-mediated communication, to a standardized writing. It is an up-stream task necessary to enable the subsequent direct employment of standard natural language processing tools and indispensable for languages such as Swiss German, with strong regional variation and no written standard. Text normalization has been addressed with a variety of methods, most successfully with character-level statistical machine translation (CSMT). In the meantime, machine translation has changed and the new methods, known as neural encoder-decoder (ED) models, resulted in remarkable improvements. Text normalization, however, has not yet followed. A number of neural methods have been tried, but CSMT remains the state-of-the-art. In this work, we normalize Swiss German WhatsApp messages using the ED framework. We exploit the flexibility of this framework, which allows us to learn from the same training data in different ways. In particular, we modify the decoding stage of a plain ED model to include target-side language models operating at different levels of granularity: characters and words. Our systematic comparison shows that our approach results in an improvement over the CSMT state-of-the-art.

2014

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Building a Spanish-German Dictionary for Hybrid MT
Anne Göhring
Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)

2013

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Machine Learning Disambiguation of Quechua Verb Morphology
Annette Rios Gonzales | Anne Göhring
Proceedings of the Second Workshop on Hybrid Approaches to Translation

2012

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A tree is a Baum is an árbol is a sach’a: Creating a trilingual treebank
Annette Rios | Anne Göhring
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper describes the process of constructing a trilingual parallel treebank. While for two of the involved languages, Spanish and German, there are already corpora with well-established annotation schemes available, this is not the case with the third language: Cuzco Quechua (ISO 639-3:quz), a low-resourced, non-standardized language for which we had to define a linguistically plausible annotation scheme first.

2010

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Combining Parallel Treebanks and Geo-Tagging
Martin Volk | Anne Goehring | Torsten Marek
Proceedings of the Fourth Linguistic Annotation Workshop