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# Tao Lei

2 paper cards in Mova's library · 2014–2017

Tao Lei wrote 2 of the papers Mova reads, in 2014–2017, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Regina Barzilay](https://md.mova.elamur.ai/free/en/docs/papers/authors/regina-barzilay/), Amir Globerson, Tianxiao Shen.

[OpenAlex](https://openalex.org/A5100707254) · [ORCID](https://orcid.org/0000-0002-0900-1582) · [**h-index 26**](https://openalex.org/authors/A5100707254) · [3432 citations](https://openalex.org/authors/A5100707254) · [69 works](https://openalex.org/works?filter=author.id:A5100707254) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Tao+Lei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tao+Lei) · [dblp](https://dblp.org/search?q=Tao+Lei) · [ACL Anthology](https://aclanthology.org/search/?q=Tao+Lei) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Tao+Lei)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[Style Transfer from Non-Parallel Text by Cross-Alignment](https://md.mova.elamur.ai/free/en/docs/papers/shen-2017-style-transfer-non-parallel-text/)** *(2017)* The paper transfers style between two corpora that share one content distribution but no sentence pairs. An encoder maps a sentence, together with its style label, to a style-free latent content vector; a style-conditioned decoder renders it back. Training aligns populations rather than pairs: sentences transferred…
2. **[Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment](https://md.mova.elamur.ai/free/en/docs/papers/tacl-2014-belinkov-exploring-compositional-architectures-word-vector/)** *(2014)* PP attachment chooses which candidate head a prepositional phrase depends on. The paper scores each candidate by composing the word vectors of the head, the preposition and the child in a small neural network, trained on attachment decisions. The English data are the Penn Treebank converted to dependencies (sections…

## Co-authors (5)

- [Regina Barzilay](https://md.mova.elamur.ai/free/en/docs/papers/authors/regina-barzilay/) ×2
- Amir Globerson
- Tianxiao Shen
- Tommi Jaakkola
- [Yonatan Belinkov](https://md.mova.elamur.ai/free/en/docs/papers/authors/yonatan-belinkov/)
- [← previous Tamir Sheafer](https://md.mova.elamur.ai/free/en/docs/papers/authors/tamir-sheafer/)
- [next → Tarek El-Shishtawy](https://md.mova.elamur.ai/free/en/docs/papers/authors/tarek-el-shishtawy/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)