# THUNLP-MT/MT-Reading-List

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

Repository: https://github.com/THUNLP-MT/MT-Reading-List
Canonical: https://ross.abutalabs.com/products/mt-reading-list
Language: TeX
License: BSD-3-Clause
License Family: permissive
Topics: machine-translation, reading-list
Last push: 2024-08-09T14:48:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2830, "days_push": 754, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2433, forks 440 (observed 2026-08-28T04:06:51.202527+00:00)

## What it is
A curated machine translation reading list maintained by the Tsinghua Natural Language Processing Group, organized by topic from statistical MT to neural MT. It catalogs important and up-to-date papers, with priority on neural machine translation research.

## Use cases
- find must-read papers on machine translation
- learn about neural machine translation research
- survey statistical machine translation literature
- find papers on low-resource and multilingual translation
- prepare for research in machine translation
- find tutorials and surveys on NMT

## When to choose
- you are a student or researcher entering the machine translation field
- you need a structured, categorized bibliography of MT papers
- you want curated pointers to recent NMT research

## When to avoid
- you need runnable machine translation software or models
- you want a general NLP reading list beyond translation
- you need exhaustive coverage of pre-neural MT literature

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, nlp
- domain: machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: machine-translation, reading-list, papers, nmt, smt, research, natural-language-processing

## Member repositories
- THUNLP-MT/MT-Reading-List (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:51.202527+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:31:09.340659+00:00, confidence not recorded.
  - readme: https://github.com/THUNLP-MT/MT-Reading-List (fetched 2026-08-28T04:06:51.202527+00:00, sha c2881663e058)
- Data as of 2026-08-30T08:39:29.467469+00:00.