Search Results for author: John Makhoul

Found 7 papers, 0 papers with code

The 2019 BBN Cross-lingual Information Retrieval System

no code implementations LREC 2020 Le Zhang, Damianos Karakos, William Hartmann, Manaj Srivastava, Lee Tarlin, David Akodes, Sanjay Krishna Gouda, Numra Bathool, Lingjun Zhao, Zhuolin Jiang, Richard Schwartz, John Makhoul

In this paper, we describe a cross-lingual information retrieval (CLIR) system that, given a query in English, and a set of audio and text documents in a foreign language, can return a scored list of relevant documents, and present findings in a summary form in English.

Cross-Lingual Information Retrieval Machine Translation +4

Reformulating Information Retrieval from Speech and Text as a Detection Problem

no code implementations LREC 2020 Damianos Karakos, Rabih Zbib, William Hartmann, Richard Schwartz, John Makhoul

In the IARPA MATERIAL program, information retrieval (IR) is treated as a hard detection problem; the system has to output a single global ranking over all queries, and apply a hard threshold on this global list to come up with all the hypothesized relevant documents.

Information Retrieval Keyword Spotting +1

What Set of Documents to Present to an Analyst?

no code implementations LREC 2020 Richard Schwartz, John Makhoul, Lee Tarlin, Damianos Karakos

We describe the human triage scenario envisioned in the Cross-Lingual Information Retrieval (CLIR) problem of the [REDUCT] Program.

Cross-Lingual Information Retrieval Retrieval

Statistical Machine Translation Features with Multitask Tensor Networks

no code implementations IJCNLP 2015 Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard Schwartz, John Makhoul

We present a three-pronged approach to improving Statistical Machine Translation (SMT), building on recent success in the application of neural networks to SMT.

Machine Translation Tensor Networks +1

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