---
title: "Characteristics of Independent Claim: A Corpus-Linguistic"
description: "Patent drafting in English is a demanding professional skill. 53 references, cited by 1 paper here."
authors: ["Darren Hsin-Hung Lin", "Shelley Ching-Yu Hsieh"]
year: 2011
venue: "International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 3-4, September/December 2011"
source: "https://aclanthology.org/O11-4005/"
licence: "CC BY-NC-SA 3.0 (ACL Anthology, before 2016)"
licence_url: "https://creativecommons.org/licenses/by-nc-sa/3.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/lin-2011-characteristics-independent-claim-corpus-linguistic/"
---
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# Characteristics of Independent Claim: A Corpus-Linguistic Approach to Contemporary English Patents

**Authors:** Darren Hsin-Hung Lin and Shelley Ching-Yu Hsieh · **Year:** 2011 · **Venue:** [International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 3-4, September/December 2011](https://md.research.elamur.ai/free/en/venues/rocling/) ([ROCLING 2011](https://md.research.elamur.ai/free/en/venues/rocling/2011/)) · **Licence:** [CC BY-NC-SA 3.0 (ACL Anthology, before 2016)](https://creativecommons.org/licenses/by-nc-sa/3.0/)

**Links:** [Publisher's page](https://aclanthology.org/O11-4005/) · [PDF](https://aclanthology.org/O11-4005.pdf) · [OpenAlex](https://openalex.org/W2275285975)

**Citations:** 3 citations (OpenAlex, 2026-10-14) · 1 in our library, of the 149,439 papers whose bibliographies we read

## Summary
Patent drafting in English is a demanding professional skill. Yet English for Specific Purposes research has paid little attention to patent language, especially compared with academic legal English taught in law schools. The authors take a corpus-driven route. They compile a patent technical word corpus (PTWC, about 16 million running words) from contemporary U.S. patents issued 2000–2009, and use statistical retrieval to build a technical word list covering six main patent areas. Much of the technical vocabulary gathers around the term independent claim, so they carve out a sub-corpus of more than 4.8 million running words centred on it. They analyse that sub-corpus functionally, drawing on Systemic Functional Linguistics. The analysis asks which clause types host the term, which verbs co-occur with it, and what semantic prosody those verb-noun pairings carry. A highlighted finding is that the verb "direct" ties independent claim to the themes product and service and appears only in verbal clauses, often in nominalized form. The word list and collocation patterns are offered as teaching material for occupational legal English and as a bridge between legal English and NLP.

## Key points
- The data consists of U.S. patent documents from one decade (2000–2009). The full PTWC has roughly 16 million running words, and the independent claim sub-corpus has over 4.8 million.
- The output is a frequency-based patent technical word list spanning six primary patent areas, intended to help learners grow their technical vocabulary.
- The analysis combines co-occurrence statistics with a functional (SFL) reading of clause types, verb-noun collocations, semantic prosody and clausal nominalization.
- The authors introduce "discourse thematic referentiality" to describe how a collocating verb, a prosodic theme and the target term combine. Their main case is product/service plus "direct" with independent claim, in a construction like "a product to which…is directed."
- Stated limits: the work covers only one term and one decade. Future work includes "dependent claim," other time periods, and comparisons with student writing.

## Interesting ideas
- Pick one pivotal domain term, extract its contexts into a focused sub-corpus, and profile its collocates and host constructions; this quickly maps how a specialized genre really phrases its core concept.
- Recording which clause type a verb-noun pairing occurs in (e.g., a verb found only in verbal clauses) treats the construction itself as a strong, explainable cue rather than mere co-occurrence.
- Semantic prosody captures the evaluative colour a word picks up from its usual company, as in the paper's merger (positive) versus acquisition (negative) example.
- The paper stresses nominalized relative constructions with a fronted preposition, such as "to which the claim is directed," where the key relation hides inside a noun phrase.

## For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

- **I1** (learn): when adapting to a new genre (legal, technical), select anchor terms and gather their contexts as a targeted evaluation slice for silver-data agreement among witness parsers.
- **I2** (frames): store per-verb construction preferences alongside VerbNet roles so frame assignment can prefer the readings a genre actually licenses.
- **I3** (frames): a prosody lexicon learned from collocates could flag mismatches between a word and its typical colouring, a usable signal for irony and implicature.
- **I4** (tree): add such pied-piped relatives from formal and legal text to parser regression tests, and check that the frame layer recovers the who-directs-what relation from them.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

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🧭 Topics (1): [English](https://md.research.elamur.ai/free/en/topics/english/) · 2,379 works

## Cite

Cite as: Darren Hsin-Hung Lin and Shelley Ching-Yu Hsieh. 2011. Characteristics of Independent Claim: A Corpus-Linguistic Approach to Contemporary English Patents. International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 3-4, September/December 2011.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@article{lin2011characteristics,
  title = {{Characteristics of Independent Claim: A Corpus-Linguistic Approach to Contemporary English Patents}},
  author = {Darren Hsin-Hung Lin and Shelley Ching-Yu Hsieh},
  journal = {International Journal of Computational Linguistics \& Chinese Language Processing, Volume 16, Number 3-4, September/December 2011},
  year = {2011},
  doi = {10.30019/ijclclp.201112.0005},
  url = {https://doi.org/10.30019/ijclclp.201112.0005}
}
```

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53 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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*Updated 1 November 2026*