📄 Anger in Old English

Summary

Manuela Romano examines how Old English speakers conceptualised ANGER. Modern work on emotion metaphor rarely looks at older stages of languages, and Anglo-Saxon dictionaries define emotion words as vaguely and circularly as modern ones do. The study belongs to a larger project on basic emotion concepts in Medieval Germanic languages.

Romano used the Toronto-produced microfiche concordance of the Old English corpus as her source, collecting about 40 anger-related nouns, verbs and adjectives along with roughly 900 of their contexts. She grouped their collocations by the source domain they imply, using the cognitive metaphor framework of Lakoff & Kövecses (1987).

The main result is a strong overlap with Contemporary American English. Physiological metonymies are prominent, and the HEAT and DANGEROUS ANIMAL systems are the most productive. Some mappings appear specific to the period, such as ANGER IS A LIQUID and ANGER IS A CUTTING INSTRUMENT.

The work matters for two reasons. It supports the claim that the folk model of anger is embodied and has stayed stable for about ten centuries. It also shows that diachronic corpus data can test synchronic theory.

Key points

• The data are roughly 40 terms and about 900 contexts from 9th–12th century texts, taken from the Toronto Microfiche Concordance (Healey & Venezky 1980). Nouns and verbs with their collocations were the most informative word classes.
• Core vocabulary includes ierre, wrap, anda, gram, torn, wielm (nouns) and iersian, gebelgan, gramian, wrapan (verbs). Many of these words are polysemous; anda, for example, also covers envy, enmity and fear. Context was used to settle each reading.
• Physiological effects of anger in the data include:
  • visibility;
  • blinded perception;
  • agitation;
  • body heat;
  • upright posture;
  • teeth-gnashing and roaring.
• Within HEAT, the subsystems ANGER IS FIRE and HOT FLUID IN A CONTAINER are equally developed. The minor domains are:
  • person/enemy;
  • place;
  • plant;
  • cutting instrument;
  • liquid/wine;
  • force;
  • object;
  • disease.
• The prototypical scenario holds a tension between controlling anger and avenging it. Most contexts favour moderating, appeasing or hiding anger.

Interesting ideas

• I1. An abstract noun used as subject of a concrete verb (anger "devours", "kindles", "seizes") reveals the source domain by the verb alone.
• I2. Prepositional patterns such as "filled with", "in the heart" and "turn away from" encode container and location views of emotion.
• I3. Physiological metonymy lets bodily cues stand for an unnamed emotion.
• I4. The author separates universal from culture-specific structure by comparing her inventory against a contemporary baseline mapping inventory.
• I5. Describing the emotion as a scenario with conflicting social norms (restrain vs. avenge) gives a structure for moral judgment.

For Mova

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

• I1 (frames): when an emotion noun fills the agent slot of a VerbNet class expecting an animate or physical agent, emit an explicit metaphor-mapping frame instead of a literal agent role.
• I2 (world): represent emotions as states held inside an experiencer container, so phrases like "his anger rose" or "let out his rage" update a single, explainable state.
• I3 (world): add inference rules that derive a probable anger state from described cues (gnashing teeth, flushed face, shouting) and record the rule as the explanation.
• I4 (learn): use a reference inventory of mappings as a control and flag frames that fall outside it for teacher review rather than accepting them silently.
• I5 (answer): in fable QA, judge whether a character's angry act is restrained or vengeful against such a scenario to answer "was it right?" questions transparently.