ZurichNLP

ContraDecode

The implementation of "Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding"

ContraPro

Contrastive evaluation of pronoun translation in neural machine translation

ContraWSD

Word sense disambiguation test sets for NMT

coverage-contrastive-conditioning

Data and code accompanying the paper "As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning" (ACL 2022)

mbr

Minimum Bayes Risk Decoding for Hugging Face Transformers

multilingual-instruction-tuning

Code and data for the paper "Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?"

nmtscore

A library of translation-based text similarity measures

swissbert

The multilingual language model for Switzerland

understanding-mbr

xstance

A Multilingual Multi-Target Dataset for Stance Detection

ZurichNLP/mbr

Minimum Bayes Risk Decoding for Hugging Face Transformers

ZurichNLP/xstance

A Multilingual Multi-Target Dataset for Stance Detection

ZurichNLP/ContraDecode

The implementation of "Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding"

ZurichNLP/swissbert

The multilingual language model for Switzerland

ZurichNLP/nmtscore

A library of translation-based text similarity measures

ZurichNLP/coverage-contrastive-conditioning

Data and code accompanying the paper "As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning" (ACL 2022)

ZurichNLP/multilingual-instruction-tuning

Code and data for the paper "Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?"

ZurichNLP/understanding-mbr

ZurichNLP/segtest

A Test Suite for Morphological Phenomena in Neural Machine Translation

ZurichNLP/BLESS

Code for the EMNLP 2023 paper "BLESS: Benchmarking Large Language Models on Sentence Simplification"

ZurichNLP/mbr-sensitivity

Data and code for the paper "Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET"

ZurichNLP/sdg_swisstext_2024_sharedtask

Repository for data and evaluation of 2024 Shared Task on SDG classification held by the Swiss Text Conference.

ZurichNLP/translation-direction-detection

Unsupervised translation direction detection using NMT systems

ZurichNLP/20Minuten

ZurichNLP/acl2020-historical-text-normalization

Code for the ACL 2020 paper "Semi-supervised Contextual Historical Text Normalization" by Peter Makarov and Simon Clematide

ZurichNLP/contrastive-conditioning

Code and data accompanying the paper "Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias"

ZurichNLP/distil-lingeval

Data and code accompanying the paper "On the Limits of Minimal Pairs in Contrastive Evaluation"

ZurichNLP/MultiPivotNMT

The implementation of "Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models"

ZurichNLP/recognizing-semantic-differences

Code for the paper "Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents"

ZurichNLP/specific_hospo_respo

Code for hospitality review response generation

ZurichNLP/swiss-german-text-encoders

Code for the paper "Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect"

ZurichNLP/voting-booklet-bias

Code for the paper "Voting Booklet Bias: Stance Detection in Swiss Federal Communication"

ZurichNLP/RANLP2021-German-ATS

ZurichNLP/romanisation-transfer

Code for the Paper "On Romanization for Model Transfer Between Scripts in Neural Machine Translation"

ZurichNLP/understanding-ctx-aug

Code for the 2023 ACL Findings paper, Uncovering Hidden Consequences of Pre-training Objectives in Sequence-to-Sequence Models (Kew & Sennrich, 2023)

ZurichNLP/SimpleFUDGE

Code for the paper "Target-Level Sentence Simplification as Controlled Paraphrasing" (TSAR 2022)

ZurichNLP/simplewiki-data-acquisition

ZurichNLP/sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

ZurichNLP/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

ZurichNLP/window_audio_segmentation

Code and data for the paper "Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation"