zurichnlp Goto Github PK
Name: ZurichNLP
Type: Organization
Bio: University of Zurich, Department of Computational Linguistics
Location: Zurich, Switzerland
Blog: http://www.cl.uzh.ch
Name: ZurichNLP
Type: Organization
Bio: University of Zurich, Department of Computational Linguistics
Location: Zurich, Switzerland
Blog: http://www.cl.uzh.ch
Code for the ACL 2020 paper "Semi-supervised Contextual Historical Text Normalization" by Peter Makarov and Simon Clematide
Code for the EMNLP 2023 paper "BLESS: Benchmarking Large Language Models on Sentence Simplification"
Rule-based Q&A-Chatbot (University of Zurich)
Code repository for COLING 2018 paper by Makarov and Clematide
Repository of test data from COLING 2018 paper by Makarov and Clematide
A program to compare language generation results and extract salient features
Collection of corpora built in the project Rich Context in Neural Machine Translation (2017-2020)
The implementation of "Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding"
Contrastive evaluation of pronoun translation in neural machine translation
Code and data accompanying the paper "Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias"
Word sense disambiguation test sets for NMT
Data and code accompanying the paper "As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning" (ACL 2022)
Simple encoder-decoder neural machine translation written in tensorflow
Data and code accompanying the paper "On the Limits of Minimal Pairs in Contrastive Evaluation"
Code for Paper "Imitation Learning for Neural Morphological String Transduction" by Peter Makarov and Simon Clematide. 2018. EMNLP
Repository of test data from EMNLP and COLING 2018 papers by Makarov and Clematide
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Minimalist NMT for educational purposes
Minimum Bayes Risk Decoding for Hugging Face Transformers
Data and code for the paper "Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET"
experimental data for paper "A Set of Recommendations for Assessing Human–Machine Parity in Language Translation"
Training automation for neural and statistical machine translation engines
Code and data for the paper "Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?"
A Multilingual Lemma Disambiguation Gold Standard for German, Finnish, French and Italian (as described in the MA thesis )
The implementation of "Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models"
Multi-source nematus
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