Claim · 2007-06 · publication · Stated in source · Supported

Brants, Popat, Xu, Och and Dean (2007) use "large language models" for n-gram language models trained on up to two trillion tokens.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Large Language Models in Machine Translation → uses the name →

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Large Language Models in Machine Translationuses the name ↓

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2007-06 · publication Records dated 2007 →

Scope and limitsA located use. It held the earliest-located role in a draft of the candidate pack until the same-family audit found Hu, Turin and Brown (1996). The sense is statistical: n-gram models with up to 300 billion n-grams, not neural networks. The paper uses the phrase as its title and in its conclusion; it does not define it.

The evidence 03

primary sourceSupports the claim

Large Language Models in Machine Translation

Association for Computational Linguistics (ACL Anthology) · 2007-06

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Large Language Models in Machine Translation”

Location in source PDF p. 1, title

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Thorsten Brants; Ashok C. Popat; Peng Xu; Franz J. Och; Jeffrey Dean
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 25ca49066ae490a82844a906946651d3043a991245b7062b8ee40cf7d3c9082c). EMNLP-CoNLL 2007 proceedings PDF as hosted by the ACL Anthology (D07-1090)
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och, Jeffrey Dean, “Large Language Models in Machine Translation”, 2007-06.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Kinds of AI and technical history (research/technical-history). The quotation (6 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes, PDF line-break hyphens and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (31 October 2026, item 103) re-read the record’s sources and found that they support what the record states. No human editorial review.

primary sourceSupports the claim

Large Language Models in Machine Translation

Association for Computational Linguistics (ACL Anthology) · 2007-06

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“We focus on n-gram language models, which are trained on unlabeled monolingual text.”

Location in source PDF p. 1, introduction

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Thorsten Brants; Ashok C. Popat; Peng Xu; Franz J. Och; Jeffrey Dean
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 25ca49066ae490a82844a906946651d3043a991245b7062b8ee40cf7d3c9082c). EMNLP-CoNLL 2007 proceedings PDF as hosted by the ACL Anthology (D07-1090)
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och, Jeffrey Dean, “Large Language Models in Machine Translation”, 2007-06.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Kinds of AI and technical history (research/technical-history). The quotation (13 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes, PDF line-break hyphens and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (31 October 2026, item 103) re-read the record’s sources and found that they support what the record states. No human editorial review.

primary sourceSupports the claim

Large Language Models in Machine Translation

Association for Computational Linguistics (ACL Anthology) · 2007-06

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“This finding underscores the value of being able to train and apply very large language models”

Location in source PDF p. 9, conclusion

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Thorsten Brants; Ashok C. Popat; Peng Xu; Franz J. Och; Jeffrey Dean
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 25ca49066ae490a82844a906946651d3043a991245b7062b8ee40cf7d3c9082c). EMNLP-CoNLL 2007 proceedings PDF as hosted by the ACL Anthology (D07-1090)
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och, Jeffrey Dean, “Large Language Models in Machine Translation”, 2007-06.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Kinds of AI and technical history (research/technical-history). The quotation (16 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes, PDF line-break hyphens and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (31 October 2026, item 103) re-read the record’s sources and found that they support what the record states. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A passage of the document uses a name for a family of methods or a term, in the sense the concept’s naming criterion describes or, where labelled, in another sense. The record documents the use; it is not evidence that the name began there, and it implies no influence on or from another text.

Date. Date of publication, as the source gives it.

Record ID th-term-llm-brants-2007